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    Decision-making Forum
    Traffic Planning Theory and Method of New District under the Background of New Urbanization
    PENG Hong-qin, ZHANG Guo-wu
    2019, 19(3): 1-4. 
    Abstract ( )   PDF (2553KB) ( )  

    Traffic planning of new district is to coordinate internal and external, passenger and freight, short-term and long-term traffic development of city, to create a fast and convenient traffic circle, to built green transportation system, that is an important work to form a convenient, safe, green, intelligent and modern integrated transportation system. The 54th conference of“Traffic and Transportation 7+1 Forum”sets its theme as“Traffic Planning Theory and Method of New District under the Background of New Urbanization”. It introduces monitoring of road network density covers all of China's major cities, and the practical experience of narrow roads. The scheme and assumption are discussed that is building fast, convenient, green and intelligent transportation system in Xiong’an New Area. It analyzes the development problems faced by rail transit of the megalopolis in new period, and puts forward planning ideas and key work. It also analyzes the new requirements of traffic planning technology and method of urban agglomeration in the Internet of things.

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    Pricing Strategies' Complementary Measures Based on Mode Choice Decision-making Process
    LI Ya-ping, LU Jian
    2019, 19(3): 5-10. 
    Abstract ( )   PDF (3459KB) ( )  

    Formulating the complementary intervention strategies of pricing strategies to enhance the individual's green travel intention is one useful mean to improve the effectiveness of pricing strategies. According to the stage model of self-regulated behavioral change, a conceptual model is proposed in this paper to analyze travelers’mode choice decision-making process under pricing strategies. Using the investigated psychological data of mode choice decision, the differentiated psychological characteristics of commute and non- commute modes choice decisionmaking under congestion pricing and reward strategies are explored based on structural equation model framework. Then regarding to the psychological characteristics of motivation formation stage, planned behavior stage, and implementation plan stage in the mode choice decision-making process, complementary measures of pricing strategies are proposed, respectively, to provide theoretical support for auxiliary decision support for pricing strategies implementation.

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    Co-opetition Between Ocean Carrier and Freight Forwarders with Network Externality
    GUO Li-bin, LI Jian, ZHANG Wen
    2019, 19(3): 11-18. 
    Abstract ( )   PDF (4101KB) ( )  

    It is studied that the competition and vertical cooperation between one ocean carrier and two freight forwarders. In addition, two freight forwarders have different market positions. We observe that the ocean carrier or freight forwarders canvass for cargos, which influences the equilibrium profits and channel structures in Stackelberg game. We show the integration and sharing between the ocean carrier and freight forwarders. Comparing parties’profits with profit sharing or integration depended on network externality and product differentiation, we find that the Nash equilibrium is the ocean carrier canvasses for cargos and the integration or sharing.

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    Game Strategies of Beneficiary Parties and Costeffectiveness Analysis of Introducing the Online Car-hailing Service to the Market
    SI Yang, GUAN Hong-zhi, YAN Hai
    2019, 19(3): 19-26. 
    Abstract ( )   PDF (4011KB) ( )  

    In this paper, game theory method was adopted to investigate the effect of introducing the online carhailing service as a new trip mode, the strategic interactive relationship between the online car-hailing service and the incumbent (taxi). The incumbent adjusts the trip cost and take different strategies to cope with the situation whether potential entrant enters (online car-hailing service) the market or not. Assumed that the users select the trip mode based on the Value of Time (VOT) function to calculate the demand equilibrium under the given demand. Based on the two-stage game model, the market equilibrium of different strategies were calculated, the profits of trip modes and the total social cost in equilibrium status were used to evaluate the effects of the strategies. Finally, a case study integrated with the practical data was put forward. The results show that, the total social cost reduces after introducing the car-hailing service to the market, although it brings down the profits of taxis. Therefore, a rational development of car-hailing service is economically feasible.

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    Forum about Comprehensive Transportation System
    Multimodal Coupling Coordination Analyses at the Comprehensive Transportation Level
    LUAN Xin,CHENG Lin,YU Wei-wei,ZHOU Jie
    2019, 19(3): 27-33. 
    Abstract ( )   PDF (3644KB) ( )  

    In view of the multimodal coupling and coordination problems in integrated transportation, a concept of coupling coordination is quantified and clarified. First of all, the main frame of multi-level evaluation elements for dynamic and static combination is established, and a method of modeling judgment considering both comprehensive development level and coupling coordination degrees is given. Then, we use the four types of transport datasets (highway, railway, waterway and aviation) during 2006 to 2015 in China to calculate, understand, analyze and discuss the coupling coordination situation among multiple traffic modes. The shortcomings in coordinated development of the waterway and highway subsystems are pointed out, and finally targeted assessment suggestions and improvement measures are put forward simultaneously. The experimental results show that this modeling methodology and the selection of indicators are scientific and effective, which can provide useful reference and/or guidance for policy formulation and management planning of multimodal transportation operations.

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    A Profit Allocation Model Based on Service Efficiency of Multimodal Transport
    MAO Bao-hua, ZENG Wei, LI Jia-jie
    2019, 19(3): 34-40. 
    Abstract ( )   PDF (4381KB) ( )  

    The profit allocation of multimodal transportation is generally determined according to transportation distance and rate of each mode. However, the impact of transportation time efficiency and externality (such as carbon emission) on the competitiveness of multimodal services is not fully considered. As a result, the profit allocation and service competitiveness are separating, and then limiting the development of multimodal services. Therefore, this paper proposed a profit allocation model based on transportation time efficiency and carbon emission, which considered the effect of transportation time and its ratio on profit allocation simultaneously. Weight coefficient was adopted to meet the needs of profit allocation in different situations. The case study of Yuxinou multimodal transportation shows that the proposed method improves the proportion of profit with high transportation efficiency and green low- carbon mode. For example, when road transportation time remains unchanged and railway transportation time shortens from the current 14.9 days to 9.0 days, the proportion of railway profit increases from 95.0% to 98.9%. The transportation time and its weighting coefficient of proportion shows that when other conditions remain unchanged, the profit ratio of railway differs about 3% under different weight coefficients. Therefore, a reasonable weighting coefficient should be determined according to the actual multimodal situation.

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    Optimization of Mixed Financial Subsidy for Urban Public Transport Based on Passenger Volume and Vehicle Kilometer
    LIANG Xi, CHEN Yue
    2019, 19(3): 41-47. 
    Abstract ( )   PDF (3455KB) ( )  

    Applying the problem of resource allocation in economics, this paper regards the financial subsidy of public transport operation income and the financial subsidy of public transport vehicle transformation as two kinds of resources, and allocates them to road traffic and rail transit separately. According to the two main subsidy methods of urban public transport, the paper calculates the passenger flow and vehicle kilometer, based on the government's financial subsidy resources and the profit target of public transport enterprises, this paper constructs a linear programming model of urban public transport financial subsidy; calculates the shadow price of urban public transport financial subsidy according to the dual theory of linear programming; compares the difference of shadow price under the two subsidy methods, and puts forward a mixed financial subsidy model of urban public transport. Finally, the feasibility of the model is validated by taking Chongqing's public transport as an example. The study shows that it is more economical for Chongqing's rail transit is subsidized by passenger flow and bus is subsidized by vehicle kilometers. That is to say, the mixed subsidy model is more conducive to the rational allocation of financial subsidies resources.

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    Intelligent Transportation System and Information Technology
    Traffic Sign Image Recognition via CNN-Squeeze Based on Region of Interest
    ZHANG Xiu-ling, ZHANG Cheng-cheng, ZHOU Kai-xuan
    2019, 19(3): 48-53. 
    Abstract ( )   PDF (3403KB) ( )  

    In highway traffic, in view of the low recognition rate of traffic signs in complex environments, a traffic sign recognition method based on K-means image clustering and image- cutting ROI is proposed, which combines HOG feature with convolution operation feature weighting (CNN-Squeeze). Firstly, K-means is used to perform clustering of triangles and circular images on the traffic sign image, and the ROI is extracted by using the cutting template. Then, the HOG feature is filtered and reduced by the CNN network, and the filtered secondary features are calibrated by the Squeeze network. Finally, the traffic sign is recognized by using the trained neural network. Simulation results show that compared with BP network, SVM and CNN network, this method can guarantee the training time and the recognition accuracy reaches 98.58%.

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    Pedestrian Detection and Evaluation Based on CapsNet
    SHAO Yi-ming, QU Zhi-hua, DENG Tian-min, ZHU Jie
    2019, 19(3): 54-61. 
    Abstract ( )   PDF (6138KB) ( )  

    To enhance the detection accuracy of pedestrian target in the road environment, and solve the problems in the existing detection algorithms such as high undetected rate, long time- consumption and poor practicability under different environmental perspectives, a CapsNet-based pedestrian detection model is presented in this paper. CapsNet, consisted of a Capsule composed of neurons, expresses and transfers the instantiation parameters of the object through the dynamic routing protocol while preserving the spatial hierarchy between the feature objects, verifies the validity of the proposed algorithm based on the Caltech public database, and compares with other algorithms in terms of detection accuracy and time consumption of the algorithms. The experimental results show that compared with other mainstream detection algorithms, the algorithm can reduce the undetected rate to a minimum of 9.17% under the premise of ensuring the detection efficiency, and in the cross-validation experiment of Caltech, INRIA and NICTA data sets, good detection results can be achieved, with remarkable robustness and generalization ability.

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    Weighted Identification Method of Train Track Occupancy Based on GNSS
    WU Bo-qian, CAI Bai-gen, LU De-biao, WANG Jian
    2019, 19(3): 62-67. 
    Abstract ( )   PDF (3530KB) ( )  

    Global Navigation Satellite System (GNSS) has been widely studying in train positioning service. GNSS based train positioning can use Digital Track Map (DTM) to realize the coordinate transformation from 3D GNSS position to one-dimensional kilometer mark, in which the identification of train track occupancy state is the basis. In this paper, based on the map matching algorithm, a track weighted occupancy identification method suitable for train positioning in switch section is proposed. The confidence area of train satellite positioning is constructed firstly. Then the distance deviation and direction deviation between the track data, which is surrounded by the confidence region, and the original GNSS positioning result are calculated. Based on the information, the train track occupancy state can be identified. Considering the station line topology and the train running state, the operational efficiency of the algorithm is improved subsequently. Results based on the field data and comparison with the results of the vertical projection method validate the efficiency and accuracy of the proposed method.

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    Molecular Dynamics Characteristics and Models of Vehicle Lane Changing Interaction Behavior
    QU Da-yi, BING Qi-chun, JIA Yan-feng, ZHOU Jing-chun, LIN Lu
    2019, 19(3): 68-74. 
    Abstract ( )   PDF (5466KB) ( )  

    The critical lead and follow gap was fixed as a parameter under traditional lane changing models, ignoring the influence of dynamic coupling information between the vehicles and the lanes. Car following necessary safety distance is proposed, and the safety convert of the vehicle in the process from car-following, lane changing, car-following is studied from dynamic point of safety distance. After lane changing completing, the lane changing vehicle and the rear vehicle of target lane are ensured to run with necessary safety distance, on the base, desired safety spacing model is established,and the model is simulated and analyzed. The results show that the model can commendably combine car-following and lane changing behavior. And provide a necessary foundation and technical support for further research and development of the autonomous lane-changing systems.

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    Continuous Cellular Automaton Traffic Flow Model Based on PFV Strategy
    PENG Yong, SHA Xiao-yu, LIU Shi-jie, DENNIS Z. Yu
    2019, 19(3): 75-80. 
    Abstract ( )   PDF (3521KB) ( )  

    Scientific and reasonable microscopic traffic flow simulation model is the key to study the effectiveness of traffic control means. In this paper, a continuous Cellular Automata (CA) traffic flow model is established based on a car- following strategy that takes into account the influence of multiple vehicles in the driver's field of vision. The simulation results show that the simulated data are in good agreement with the measured data, and the K-Q, K-V and Q-V diagrams obtained from the simulation can better reflect the instability of the actual road traffic flow. The model has the compatibility and flexibility to adapt to different scenarios. It can be used as a simulation tool to study the real road traffic flow problem in China.

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    Multi-region State Consistent Collaborative Control Based on MFD in Traffic Network
    WANG Li, LI Min, HE Zhong-he, ZHANG Ling-yu, LI Zheng-xi
    2019, 19(3): 81-87. 
    Abstract ( )   PDF (4398KB) ( )  

    Aiming at the problem of multi-region collaborative control based on MFD in traffic network without considering the difference and equilibrium of congestion conditions in each sub-region, this paper proposes a state feedback control method with achieving a consistent state of multi- regions. Firstly, multi- regions collaborative model is established based on MFD model. Furthermore, based on the partial variable stability, a boundary state feedback control law is designed. On this basis, considering the differences in the congestion status of the subregions, a collaborative control strategy is designed to alleviate the congestion status quickly. At the same time, the allocation optimization strategy of sub- region boundary input flow is proposed. Finally, a simulation model is established based on the actual road network in Weifang city, China. The results show that, the method can achieve the equalization of traffic flow distribution in sub- regions, and alleviate the congestion quickly, and greatly improve the operation efficiency of the road network.

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    Systems Engineering Theory and Methods
    Number of Cars of a Departure Train Considering the Accumulation Delay
    LI Jing, SHUAI Bin, XU Min-hao, ZHU Wei-bo
    2019, 19(3): 88-95. 
    Abstract ( )   PDF (4350KB) ( )  

    The accumulation is an inevitable and time-consuming railway technical operation, and the number of cars is closely related. A batch-arrival and batch-service queuing model for arrival-assembly-departure of cars was carried on using the method of queuing theory. Performance measures such as queue length and accumulation delays were discussed and then the optimal minimum number of cars considering economic efficiency was obtained. The numerical results show that the optimal minimum number of cars is related to car arriving pattern, arriving intensity and distributions of train departure schedules: (1) from the perspective of economic efficiency when adopting the optimal minimum number strategy, the case of arriving batch size satisfying exponential distribution is better than cases of geometric and negative binomial distributions; (2) when the arriving intensity is smaller, the economic efficiency is more remarkable; (3) the case of train departure schedules satisfying geometric distribution is better than cases of negative binomial and uniform distributions.

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    Synchronous Optimization Model of Station Redundant Time and Interval Redundant Time in High-speed Railway Train Working Diagram
    NIU Hong-xia, NING Zheng, ZHANG Zhao-xin
    2019, 19(3): 96-102. 
    Abstract ( )   PDF (3867KB) ( )  

    In order to improve the anti-interference ability of train working diagram, the initial delay in operation process is absorbed by setting the interval redundancy time and station redundancy time. In view of the problem that the existing research does not deeply study the mutual constraint relationship between multiple redundancy time, and delay time absorption ability. This paper describes the process of redundant time absorbs delay based on the birth and death process. A synchronous optimization model for optimizing station redundancy time and interval redundancy time is proposed. This model balances the relationship between causing double redundancy and setting too little redundancy time to absorb the delay. Finally, the random disturbance is loaded and the model is solved by genetic algorithm. The results show that compared with the allocation schemes often adopted at the present stage, the synchronous optimization model obtains the interval redundancy time according to the random interference mean and solves the corresponding station redundancy time. On the basis of considering the travel time, the model of this paper absorbs the cumulative delay time more effectively and effectively improves the anti- interference ability of operation diagram.

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    Evolutionary Game for High-speed Railway Operation Safety Supervision System with Multiple Agent Based on SD Analysis
    LI Ke-hong, ZHANG Ya-dong, GUO Jin, GAO Hao
    2019, 19(3): 103-110. 
    Abstract ( )   PDF (5312KB) ( )  

    In view of the entrusted transportation management model of high-speed railway(HSR) in China, the supervision strategy for multiple agents are difficult to formulate. The HSR safety supervision system evolutionary game model that composed of HSR company and it’s multiple agents has been established. The behavioral characteristics and the steady state of decision-making of all parties is proved by evolutionary game theory and System Dynamics(SD) simulation. The results indicated that there will be a long-term fluctuations in the game process when the static strategy(SS) is adopted, there have no Evolutionary Stable Strategy(ESS) exists in the system. The fluctuations can be effectively suppressed by adopted the dynamic strategy(DS), but in case of the same coefficient, the SS is better than the DS in increasing the safety investment rate of the mutiple agents. Illustrating that the HSR company should flexibly apply these two strategies when formulating the supervision policy in order to control the safety level of HSR operations.

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    A Method to Predict the Number of Rail Freight Serviceable Cars Held Kept Based on Box-Cox-TQR Probability Density
    LI Xia-miao, WANG Li-shan, GUO Wang
    2019, 19(3): 111-118. 
    Abstract ( )   PDF (4161KB) ( )  

    The rational number of serviceable cars held kept plays an important role in meeting railway freight demand, improving efficiency and reducing transportation cost. Considering the complex internal and external environment of railway transportation system and its dynamic change characteristics, this paper makes a qualitative analysis of the factors affecting the number of serviceable cars held kept. A method for identifying the main influencing factors combining rough set attribute reduction, grey correlation analysis and stepwise regression is proposed. Based on this, a probability density prediction model based on Box-Cox transform quantile regression (Box-Cox-TQR)and kernel density estimation is established. Based on the actual data of the number of serviceable cars held kept of the State Railway Administration, the prediction test is carried out. The results show that the identification method using the main factors conforms to the motion variation law of the target value and have good accuracy. In addition, probability density prediction conveys more information than point prediction and interval prediction, providing more accurate and useful information for management decisions.

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    Short-term Passenger Flow Prediction for Urban Railway Transit Based on Combined Model
    YANG Jing, ZHU Jing-wei, LIU Bo, FENG Cheng, ZHANG Hong-liang
    2019, 19(3): 119-125. 
    Abstract ( )   PDF (3517KB) ( )  

    For short-term passenger flow in urban railway transit has the characteristics of nonlinear distribution, a combined forecasting model based on variable- point model, wavelet transform, and autoregressive moving average model is proposed. The model firstly uses variable- point model to divide the state interval, then uses autocorrelation and partial autocorrelation analysis to determine whether the time series is suitable for the ARMA model. Finally, ARMA single model and wavelet ARMA combined model are used to predict the passenger flow of a subway station in Beijing, and the error of the prediction results is compared and analyzed. The comparison shows that the prediction effect of the wavelet ARMA model is better than that of a single ARMA model, and the calculation speed can also meet the needs of short- term prediction. This method can provide reference for the operation organization of urban rail transit.

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    Cooperative Control of Express/Local Metro Trains for Energy Saving Considering the Safe Headway
    BAI Yun, YU Zhao, JIA Wen-zheng, FENG Xu-jie, CHEN Shao-kuan
    2019, 19(3): 126-133. 
    Abstract ( )   PDF (4281KB) ( )  

    This study explores the cooperative control of metro trains under the skip- stop pattern, taking into account the constraint on the minimal headway for safety and the utilization of regenerative energy for energy saving. The overall optimization of cooperative control on multiple trains is decomposed into a series of local optimizations based on the rolling optimization framework. The local optimization is triggered whenever a train departs from the station. For each local optimization, the central train control center devises the energy-efficient trajectory of the departing train in the next inter-station run, considering the real-time information including the weight of the departing train and trajectories of the other trains in their current inter-station runs in the same power system interval. To synchronize the motoring and braking trains for better utilization of regenerative energy, the motoring operation mode is allowed more than once in each inter- station run especially for the express trains skipping a series of stations. A cooperative control model for express/local trains is proposed to minimize the net energy consumption of skip-stop metro line, and a hybrid genetic algorithm is developed to solve the proposed model. Case studies show that the developed algorithm satisfies the requirement of real-time computing efficiency and the proposed cooperative control saves more than 3% of net energy consumption in comparison with the optimal control of a single train for energy saving.

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    Classification Method of Urban Rail Transit Emergencies Based on Improved K-means Algorithm
    ZHENG Xuan-chuan, WEI Yun, QIN Yong, WANG Ming-ming, CHEN Ming-dian, ZHAO Hua-wei
    2019, 19(3): 134-140. 
    Abstract ( )   PDF (3723KB) ( )  

    This paper presents an improved K-means clustering method for urban rail transit emergencies. Firstly, the characteristics of various types of events are analyzed from the aspects of event type, duration and degree of influence, and 8 key features are extracted for cluster analysis. Secondly, principal component analysis is proposed to extract 4 principal component variables and the weighting coefficient of original variables is calculated. An initial clustering center determination method based on density scanning is proposed, and the improved K-means clustering algorithm is applied to the classification of subway emergency events. Case results show that compared with the original K-means clustering method, the improved method proposed in this paper has better clustering effect. The results were applied in the Beijing subway emergency command system, which verified the feasibility of the method.

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    Integrated Optimization for Timetabling and Vehicle Scheduling of Zone Urban and Rural Bus
    JIANG Xiao-hong, GUO Xiu-cheng, SHEN Han-xia, GONG Xiao-lin
    2019, 19(3): 141-148. 
    Abstract ( )   PDF (4515KB) ( )  

    A two-level planning model is established to comprehensively optimize timetable design and vehicle scheduling for urban and rural bus. The upper layer problem is the vehicle scheduling of zone bus routes. The upper planning model aims at the minimum operation cost of the bus enterprise, and realizes the vehicle timing assignment of multi-line, multi-vehicle and multi-vehicle. The Tabu search algorithm is used to solve the problem. The lower layer planning model mainly minimize the total transfer time and the transfer failure penalty of all the transfer nodes, and ensures the coordination of the transfer nodes' schedules. The operation diagram is used to solve this problem. Finally, the urban and rural bus of Cixi South zone is used for example application. The results show that the method can be applied to engineering practice and make the operation design visually reflected. The proposed method can also meet the convenient needs of passenger transfer, and make the vehicle resources more efficient use.

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    Traffic Impacts of Buses' Entering and Exiting Stops on Urban Major Arterial Segments
    YAN Ya-dan, LI Yang, WANG Dong-wei, ZHANG Gang
    2019, 19(3): 149-156. 
    Abstract ( )   PDF (5279KB) ( )  

    Bus stops have important impacts on the urban road traffic operation, especially major arterial segments where vehicles run fast. Using data collected by unmanned aerial vehicles, linear, left-side harbor, and right-side harbor bus stops are investigated. The affection rate calculation model is constructed. Traffic impacts of buses’entering and exiting different types of stops on urban major arterial segments are studied and compared. Results show that affected social vehicles behave as slowing down and following, decelerating and passing, parking and waiting, changing lanes and driving on the road marking. The main behaviors are decelerating and lane change. Total impacts of the linear bus stop on traffic operation are the largest. For a linear bus stop, buses’ parking at it has the greatest impact on traffic operation; for a harbor bus stop, buses’driving out of it has the greatest impact. Moreover, buses’unregulated parking behavior at the left-side harbor bus stop will lead to driving on the road marking of social vehicles. Position distributions of behaviors of affected social vehicles are also quite different.

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    Standing Passenger Space on a Bus Based on Passenger Satisfaction
    HUO Yue-ying, LI Xiao-juan, YAN Zhen-ying, LI Wen-quan
    2019, 19(3): 157-162. 
    Abstract ( )   PDF (3962KB) ( )  

    Standing passenger space is a key measure that influences passenger satisfaction during riding on the bus in public transit. Standing passenger space that makes passenger’s personal experience shift from unsatisfaction to satisfaction is defined as standing passenger space threshold. This paper aims to propose a suggestion value for standing passenger space threshold. Firstly, passenger flow survey and questionnaire survey were carried out in Hohhot. Then, based on the data collected from the surveys, the model of passenger satisfaction and standing passenger space was established using Ordinal Logistic Regression. Finally, through illustrating the proposed model, the suggestion value of standing passenger space threshold is identified as 0.25 m2/p, which is the minimum standing passenger space that can guarantee passenger satisfied. The results provide quantitative basis for evaluating passenger satisfaction and comfort in bus transit.

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    Optimal Algorithm and Empirical Analysis for Urban Transit Pricing Based on Demand Elasticity
    GAO Yong-feng, SI Bing-feng
    2019, 19(3): 163-168. 
    Abstract ( )   PDF (3396KB) ( )  

    Urban bus fare is an important factor in the healthy development of public transport systems. Fare pricing must take into account the dual nature of marketability and public welfare of bus enterprises. While ensuring the quality of services, it should also consider operating costs and maximize public transport demand so as to achieve both economic and social benefits. This paper, according to the theory of user equilibrium, constructs a demand analysis model for urban multi-modal transportation trips. The sensitivity analysis method is used to get the calculation method of urban public transport price-demand elasticity. On this basis, a bi-level planning model for city bus fare optimization and corresponding solution algorithm are proposed by fully considering the impact of various factors such as traffic characteristics of various modes, bus demand elasticity, bus operating costs, and government price limits. Finally, based on a residents' travel survey and bus operation data, the changing law of the bus demand under different conditions and the optimization strategy of urban bus fares are analyzed.

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    Passenger Halo Effect of Public Transit Information
    ZHU Shun-ying, WANG Shu-yu, ZOU He,WANG Hong
    2019, 19(3): 169-175. 
    Abstract ( )   PDF (5448KB) ( )  

    Halo effect is a special irrational psychological phenomenon, which can be used to improve public transit passenger satisfaction. This paper considers that the salient dimension halo effect index should have three new other basic characteristics besides satisfying the greatest effect coefficient of overall satisfaction. A new method of distinguishing salient dimension halo effect index based on multiple features is proposed to overcome the defects of misidentification of a single feature sometimes. Based on the public transit passenger satisfaction data of Wuhan in 2017, this paper uses two-factor and decision tree method to identify the potential significant dimension halo effect index, narrows the identification range, and uses the sub-satisfaction index to influence the proportion of the population, the relationship between the average score and the overall satisfaction, the coefficient of effect on the overall satisfaction, the variance of the score and so on. The significant dimension halo effect index is identified. It is found that the public information service has a reverse halo effect on 55.42% of passengers. Improving public transit information service can significantly improve the satisfaction of dissatisfied passengers.

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    Modeling Analysis of Related Choice for Passenger Ticketing Mode and Channel
    LI Jun, JIA Shun-ping, WANG Yu-qiong, ZHANG Si-jia
    2019, 19(3): 176-181. 
    Abstract ( )   PDF (3474KB) ( )  

    The aim of this paper is to analyze the characteristics and factors of passengers ticketing behavior under a multiple channel ticketing strategy. Ticketing process was divided into three stages. Ticketing path was identified into three typical modes. A co-evolutionary Logit model was developed considering the interdependencies of multi- channels and multi-modes. Based on the data of networking ticketing system of the road passenger transportation, the model was empirically applied. The influences of characteristic variables for road passenger ticketing were revealed. The combined choice characteristics between mode and channel were also revealed. The findings show that the factors, including passenger gender, age, advance time of ticketing, trip time, trip mileage, and coach frequency, influence the ticketing choice and preference. There is a correlation between ticketing channel and mode choice. The determination of ticketing channel choice is affected by mode decision. It is beneficial for improving the accuracy of the ticketing behavior by considering the interdependencies between the channel and the mode choice. The accuracy of the mode and channel choice models is improved by 5.98% and 5.72% respectively.

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    Impact of Urban Complex on Community Residents' Travel Behavior
    WANG Yu-qin, WU Jiao-rong
    2019, 19(3): 182-187. 
    Abstract ( )   PDF (3193KB) ( )  

    As a highly integrated development mode, urban complex is exerting a subtle influence on residents' daily activities by changing the built environment of community. From the perspective of transportation planners, this paper studies the impact of urban complex on residents' travel behavior. Based on questionnaire data, residents' personal information disturbance on travel behavior analysis was firstly weakened in data pretreatment through propensity score matching. A quasi- longitudinal analysis of changes in residents' travel behavior after moving to communities within urban complex was conducted using residents' self-reported data, thus obtaining a preliminary understanding of the trend of impact exerted by urban complex on residents' travel behavior. Then, travel data of two group residents, corresponding two types of communities that within and without urban complexes, was comparatively analyzed. The results show that, urban complex development mode may effectively promote residents to generate more short-distance trips with slow traffic rather than long-distance motorized trips, to satisfy their daily elastic demand. This research can provide directional guidance for transportation system configuration for urban complex, differing from traditional single-function oriented development mode.

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    Exploring Psychology Factors Influencing the Transfer Willingness from Car to Dockless Bike-sharing
    JI Yan-jie, XIE Xiao-le, MA Xin-wei, GAO Liang-peng
    2019, 19(3): 188-194. 
    Abstract ( )   PDF (3743KB) ( )  

    Travel mode shift from car to dockless bike-sharing (DB) is one of the effective ways to solve traffic congestion and environmental problems. Therefore, the author surveys 308 car travelers in Nanjing, Jiangsu Province, to explore the impact of psychological factors on the modal shift from car to DB. This paper examines the impacts of perceived usefulness, perceived ease of use, perceived health value, and attitudes toward DB on the willingness to transfer by establishing a modified technology acceptance model. The study concludes that perceived health value and perceived ease of use positively impact the transfer willingness by changing the attitude towards DB, and perceived usefulness directly exerts positive impacts. The study also finds that DB can substitute cars in short-distance trips, and travelers are most likely to become potential DB users transferred from car in middistance trips. However, DB is more difficult to influence the choice of travel modes for car travelers in long distance.

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    Designing Microcirculatory Road Network for Open Block System
    LUO Qing-yu, YANG Jin-ling, WU Wen-jing, LIU Guang-zhao
    2019, 19(3): 195-201. 
    Abstract ( )   PDF (3544KB) ( )  

    Opening and using the internal high- density roads of urban blocks to design the microcirculatory traffic network can divert the traffic flow on main roads, reduce the traffic blind spots and alleviate the local traffic congestion. Taking all roads in the block as an optional road set, the bi- level planning model of optimizing microcirculation organization is set up with the aim of minimizing the ultra- limited saturation and the bypass distance of trip origin- destination. The optimal branch road reconstruction segment and the organization of the microcirculatory network in the region can be figured out by genetic algorithm. An example is provided to show that the traffic microcirculation organization in the open block could achieve the goal of minimizing the transformation cost and maximizing the traffic efficiency, and significantly reduce the saturation of traffic flow and the vehicle bypass distance.

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    Investigating the Heterogeneous Perception of Travelers on Urban Traffic States
    HAN Chun-yang, HUANG He-lai, TANG Jin-jun, ZHANG Ke-ke
    2019, 19(3): 202-207. 
    Abstract ( )   PDF (3182KB) ( )  

    This study aims to investigate the heterogeneous perception of travelers on urban traffic states. First, a video- based experiment was conducted for collecting the perception data. Then, an order Logit Bayesian hierarchical model was developed to estimate the individual- level perception parameters. The heterogeneity of travels’perception on traffic state can be investigated through examining the individual parameters by accounting for the effects of objective road- and traffic-related factors. The results show that: (1) Both road attributes (number of lanes or road segment width) and traffic flow factors (traffic volume and average travel speed) have significant effects on traveler’s perception. (2) The effects of these factors significantly vary among participants. The variations in effect of road attribute factors are more significant than those of traffic flow factors. Average travel speed has a relatively stable effect on their perceptions. (3) The difference in personal attributes is one of the main hints for the heterogeneous perception.

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    Temporal-spatial Characteristics and Influencing Factors of At-fault Traffic Crashes: A Case Study in Guangzhou
    ZHANG Guang-nan, ZHONG Qiao-ting, YANG Qing-xuan
    2019, 19(3): 208-214. 
    Abstract ( )   PDF (4235KB) ( )  

    Towards more in-depth research for temporal-spatial characteristics and potential influencing factors of traffic accidents in urban cities, this paper analyzes the traffic accident data of Guangzhou city in 2010. Using geographic information system (GIS) technique and hierarchical cluster analysis, this paper analyzes the risk factors associated with at- fault crashes, including characteristics of the road, infrastructure situation and the accident rate on weekdays and during the daytime. According to the analysis results and future development plan of Guangzhou, several proposals are put forward to improve the road safety situation in Guangzhou. Analysis results show that the highest incidence of at-fault crashes occurs in the central city with a spotty distribution. For road features, more at-fault crashes occur on main roads rather than on accessory ones, and the distribution of atfault accidents during the morning peak is significantly different from that during the afternoon peak. Through examining the identified nine crash hotspots in Guangzhou, this paper identifies three main patterns of at-fault crashes. The first one is the crowded business district with complex roads. The second one is close to expressways and trestles. The third one displays downtown characteristics including well- equipped facilities and convenient transportation.

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    Carbon Emissions Pricing Optimization Model with Degradable Transport Network
    WEI Qing-qi, XIAO Guo-mei, XIAO Wei
    2019, 19(3): 215-221. 
    Abstract ( )   PDF (4136KB) ( )  

    Considering the random degradable network and the cumulative perceived users with bi- reference points, this paper proposed a multi-criteria bi-level carbon emissions pricing design approach (MBCPDA), which aims to induce users to choose low- carbon travel spontaneously. The upper level problem aims to minimize the total system CO2 emission and design the most effective carbon pricing standard and charge links from the viewpoint of traffic managers, and the lower level problem depicts travelers’route choice behavior based on stochastic degradable network and the cumulative perceived users, which considering travel time, cumulative arrival time perceived value (CATPV), carbon emissions charge and fuel cost simultaneously. The Heuristic algorithm based on link carbon density is developed to find optimal link pricing strategies. And a numerical example based on the Nguyen Dupuis network was conducted to verify the effectiveness of the approach and the algorithm. This paper demonstrates that a reasonable setting of charged links and standards can effectively reduce the total system carbon emission. And overcharge will not only damage the capacity of the existing bottleneck links, but also create new bottlenecks and increase the total system carbon emissions.

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    NOx Emission Model for Heavy-duty Refuse Trucks Based on Operating Modes
    ZHANG Shuang-hong, YU Lei,SONG Guo-hua
    2019, 19(3): 222-229. 
    Abstract ( )   PDF (5859KB) ( )  

    In order to improve the accuracy of the NOx emission estimation for city heavy-duty refuse trucks, this paper presents an operating mode-based NOx emission model for heavy-duty refuse trucks. First, the VSP bins were defined based on the operating conditions and the emission characteristics of NOx derived from the analysis of second- by- second field speed data for fully loaded and empty heavy- duty refuse trucks respectively. Then, combined with the instantaneous speed of trucks, an operating mode binning method was developed and emission factors for trucks were estimated, which were subsequently compared with the results based on the MOVES model. It is shown that the emission factors of NOx are higher for empty loaded trucks at the low speed level of ([0, 20) km/h) than that of fully loaded trucks, and lower in other speed levels. However, emission factors of NOx estimated based on the MOVES model are lower on all speed levels for both fully and empty loaded trucks than those based on the NOx emission model proposed in this paper. For empty loaded trucks, the differences are found as much as 24.67%, 6.82% and 23.81% at the low speed level ([0,20) km/h), medium speed level ([20,50) km/h) and high speed level ([50,+∞) km/h) respectively. For fully loaded trucks, the differences are 12.38%, 18.81% and 26.43% respectively.

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    Cases Analysis
    Stability Evaluation for Routes Layout of Qinghai-Tibet Railway Based on Triangle Model
    YU Qi-rui, LI Ping, WANG Fu-zhang, CHEN Xiao-jun
    2019, 19(3): 230-236. 
    Abstract ( )   PDF (4399KB) ( )  

    As the reference standards of planning and construction for other railways of the Tibet area, it’s necessary to evaluate the stability of the Qinghai-Tibet railway from the following aspects: the spatial layout of lines, overall transportation efficiency, and positive externalities influences of economy and society. In this paper, the index was designed from the stability connotation of railway line planning, construction and operation. The corresponding index weight was given by AHP- FCE. Based on the triangular graph theory, the model was constructed to evaluate the stability of Qinghai-Tibet railway route layout comprehensively, and Grapher 10 was used to describe the evolution path of its stability trend. The results of this study show that the route layout of Qinghai-Tibet railway was basically stable from 2007 to 2014, and the evolution path of the overall trend shows a stage feature from strongly stable to generally stable and then to weakly stable. Among them, the stability was at the optimal level in 2010.

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    Trip Characteristics of Vehicle with Commuting Property Based on Highway Ticket Data
    WEI Guang-qi, SU Yue-jiang, WU De-xin, YUAN Min-xian
    2019, 19(3): 237-244. 
    Abstract ( )   PDF (5685KB) ( )  

    The use of high- speed commuter vehicles has also increased especially during major holidays, and traffic problems such as high-speed slow-moving and congestion have occurred. At present, the main method to solve the above traffic problems is traffic demand management, and the realization of targeted traffic demand management requires mining and analysis of highway toll ticket data, and grasping the running state and spacetime distribution characteristics of vehicles on the expressway. Based on the highway toll ticket data, this paper uses the K-means++ clustering method to identify the commuter vehicles which is using the highway, and further analyzes the time and space distribution characteristics of the commuter vehicles. From the perspective of commuting, it is of great significance to explore the distribution of urban commuter vehicles’rapid travel corridors and study the relationship between highway network and urban road network, which is to improve the efficiency of urban transportation system and alleviate traffic problems.

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