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    Intelligent Logistics Mode of Highway, Railway and Waterway Transportation after the 19th National Congress of the Communist Party of China
    PENG Hong-qin,ZHANG Guo-wu
    2018, 18(1): 2-5. 
    Abstract ( )   PDF (1141KB) ( )  

    Multimodal transport is the required space-time form for the new stage of transportation industry. It is also put forward new requirements for high-quality economic growth. To maximize the transportation organizational effect and value of transportation chain, transportation hubs and transportation mode must match the economic development of hub. The 49th conference of“Traffic and Transportation 7 + 1”sets its theme as “Intelligent Logistics Mode of Highway, Railway and Waterway Transportation after the 19th National Congress of the Communist Party of China”. It proposes that scientific price system and clearing system, legislation for integrated transportation system can contribute to the rational division and effective competition among all transportation modes, and promote the joint collaboration among transportation modes and carriers. The foundation of building a logistics power Country is to perfect the logistics system. Moreover, it is of great significance that the Shenhua Group Corporation Ltd. carries out the pilot for intelligent logistics of multimodal transport, using its own resources.

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    Complexity of Airlines’Dynamic Price Competition with Carbon Emission Trading
    HU Rong, CHEN Lin, ZHANG Fei-fei, ZHU Jia-lin
    2018, 18(1): 6-12. 
    Abstract ( )   PDF (1670KB) ( )  

    To investigate the effect of carbon emission trading on airlines’dynamic price competition, the airlines’dynamic price competition model based on carbon emission trading is established by using the bifurcation and game theories. The existence and stability of the equilibrium points are discussed, and the influence of carbon emission coefficient on stable region, bifurcation and competition equilibrium are investigated. The results show that when emission coefficient is out of stable region, the bifurcation and chaos will occur. Some airlines may get extra profit from bifurcation and chaos. The dynamic price competition model enables to maintain stable with controlled by time- delayed feedback control method if appropriate control factor is chosen. The airlines need to carry out some mitigating measures in order to maintain ordered market and improve their competition performances.

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    Incentive Contract for Green Car Rental System Based on Cost Sharing Policy
    JING You-guo, GUO Pei-qiang, QIN Kai-da
    2018, 18(1): 13-19. 
    Abstract ( )   PDF (1409KB) ( )  

    The incentive mechanism of government's cost- sharing policy for green car rental companies is researched with the assumptions that the demand is uncertain and depended on the promotion efforts. The optimal decisions of fleet sizing and promotion effort level under the no government incentive policy, the centralized decision considering environmental benefits of government and the cost sharing policy provided by government are researched respectively, and a comparative analysis is carried out. The following results is attained: the system can't achieve system optimal under the no government incentive policy; the introduced combined contract of cost sharing can not only achieve system benefit maximization but also make the members of the system achieve Pareto improvement when the contract parameters satisfy certain conditions. Finally, the example analysis is employed to discuss the cost sharing coefficient’s influence on the government and the green car rental enterprise revenue.

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    Multi-class Freight Rate of Railway Container Freight Based on Lot Sizing Order
    ZHANG Xiao-qiang, ZHANG Qi, LUO Tao, ZHANG Rong-rong
    2018, 18(1): 20-29. 
    Abstract ( )   PDF (2035KB) ( )  

    The proportion of railway container freight transportation is now increasing gradually with its rapid development. Recently, railway corporation doesn’t discount according lot sizing order which results in some customers choosing another mode of transportation. Aimed at this question, the strategy of multi-class freight rate is designed to appeal to key accounts. The dynamic pricing model is set to maximize the expected revenue of railway container freight, to solve the optimal price class of each order quantity. This paper takes the line of container freight from Dalang to Dahongmen as an example, and solves the optimal freight rate of each order in different time. The proposed method is proved that it could improve the revenue of railway container freight observably by comparing results before and after optimization.

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    Construction Index System Establishment and Index Solution of Chinese Intercity Railway
    SHUAI Bin, HUAN GWen-cheng, ZHANG Shi-hang, PANG Deng-yu, HE Xiao-feng
    2018, 18(1): 30-36. 
    Abstract ( )   PDF (1269KB) ( )  

    In order to establish the condition index system suitable for the construction of intercity railway in China, after analyzing the development of China’s urbanization and urban agglomeration, researching the existing intercity railways, we establish the intercity railway construction index system. We select the local revenue, passenger demand, population density, per capita GDP as basic indicators; civil engineering long-term loan rate, intercity railway financing cost, fare rate, the unit mileage 10 years cumulative amount of subsidies, unit investment cost are classified as auxiliary indicators. When all the basic indicators, some or all auxiliary indicators are satisfied, the evaluated intercity railway will be considered in the next construction process. Next, we apply the income- expenditure balance model, statistical analysis and financial analysis combined method to calculate the detail value of the indicators.

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    Test on Spatial Spillover Effects of Logistics Corridor ——An Empirical Study Based on China's 11 Logistics Corridors
    FAN Yue-jiao, QUAN Chun-ni
    2018, 18(1): 37-43. 
    Abstract ( )   PDF (1445KB) ( )  

    This paper takes the China's 11 logistics corridors as the empirical objects. We measure logistics corridor technology level comprehensively, construct the spatial adjacency weight matrix based on geographic distance and test the autocorrelation of related variables, and then build Panel Data of Spatial Dubin Model to test the spatial spillover effects of China's logistics corridor. The research shows that seeing from the national scope, China's logistics corridor has significant spatial spillover effects, but in particular, each one is different. The logistics corridors in coastal areas, Jingjiu, Yangtze River, Longhai- Lanxin and Hukun have significant spatial spillover effects. The spatial lag effects of those in Jinghu, Jingguang and Baokun are not significant, and there are no spillover effects in the study period. The study of this paper shows that there are significant spatial differences in the spatial spillover effects of logistics corridors in China, so we should build rationally logistics corridors according to local conditions.

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    Modeling the Passenger Flow Assignment of Railway Hub Stations in Metropolis
    KOU Jun,GU Bao-nan
    2018, 18(1): 44-49. 
    Abstract ( )   PDF (1467KB) ( )  

    In different periods, the passengers of different location will take an intercity travel through various access modes and different frequency of trains. It can’t describe passengers’travel accurately only according to the inter- city travel costs. Therefore, with the premise that the OD passenger flow between traffic zones of two cities, intercity train timetable, and railway hub layout are known, it constructed the access traffic network in the city to get the access cost from traffic zones to railway stations and used multinominal Logit model to form the access submodel. Then it used the train timetable to get the intercity travel cost and considered the added cost caused by crowded passengers. According to the principle of minimum total cost and the access submodel, it formed the passenger flow assignment model in different periods, and got the passenger flow between traffic zones and railway stations and between railway stations through improved MSA algorithm. Finally, a numerical example shows the feasibility and validity of the method.

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    Intelligent Transportation System and Information Technology
    A Speed Control Strategy at Signalized Intersection under Connected Vehicle Environment
    LU Ying-rong, XU Xiao-tong, DING Chuan, LU Guang-quan
    2018, 18(1): 50-58. 
    Abstract ( )   PDF (2456KB) ( )  

    In order to reduce the blocking of traffic flow of the signalized intersection on the urban road, for individual vehicles can interact the information with the roadside facilities and the intersection control system under the connected vehicle environment, a speed control strategy in the signalized intersection is proposed. This strategy considers driving comfort and environmental friendliness with the improvement of traffic efficiency. To verify the efficiency of the speed control model, the speed control simulation system embodying the characteristics of the connected vehicle environment in the signalized intersection is developed using the multi-agent technology, and a typical intersection is selected as an example, in which the travel time, fuel consumption and pollutant emissions under the traditional environment are compared with that of the connected vehicle environment when vehicles pass the intersection. The results show that when vehicles go through intersections, the average travel time is reduced by about 60% by the aid of the speed control strategy, with the fuel consumption reducing by about 40%. In addition, pollutant emissions are also reduced significantly.

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    Dynamic En-route Guidance Approach Based on Local-connectivity
    LIANG Wei, ZHANG Yi, HU Jian-ming
    2018, 18(1): 59-65. 
    Abstract ( )   PDF (1738KB) ( )  

    Shopping trip by cars is common in residents’traveling. The increasing number brings the traffic conflict between supply and demand and more congestion. Route guidance is a suitable choice for shoppers. But most guidance approaches use the fixed path optimization algorithm to plan and do not adapt itself to the variety of urban traffic, which omits the characteristic of the shopping trip and reliefs the traffic congestion. A new route guidance approach is developed for en- route vehicles. The proposed approach analyzes the local road network based on the dynamic connectivity, updates local of the guidance route and feeds back to the vehicle. The experimental results show that the approach has an open structure in which better path optimization algorithms can be applied and it decreases the computation by more than 56%.

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    Heterogeneous Traffic Flow Platoon Dispersion Based on Robertson Model
    YAO Zhi-hong, JIANG Yang-sheng
    2018, 18(1): 66-72. 
    Abstract ( )   PDF (1864KB) ( )  

    To describe the law of platoon dispersion under the condition of heterogeneous traffic flow adequately, and provide theoretical support for traffic signal coordination, the characteristic of heterogeneous traffic flow and the virtue of fast calculation of Robertson' s model are considered. Then, a heterogeneous traffic flow platoon dispersion model is proposed based on modeling the multi different traffic flow. Later, the relationship of the arrival flow rate of the downstream intersection and the depart flow rate of the upstream intersection is analyzed using the proposed model by field collected data, with comparison to those of Robertson model and the actual data. The results show that, the proposed model can better describe the law of dispersion in heterogeneous traffic flow, and the mean squared error of prediction is reduced by about 8.29%, compared with Robertson model.

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    Arterial Signal Coordination Control Model for Double-cycle Signal Control
    JING Bin-bin, XU Jian-min, YAN Xiao-wen
    2018, 18(1): 73-80. 
    Abstract ( )   PDF (2347KB) ( )  

    In order to solve the deficiency of the existing arterial signal coordination control methods based on double-cycle, Firstly, a new loop integer constraint suitable for double-cycle is derived. Secondly, the deficiencies of the existing methods are analyzed thoroughly. Thirdly, a double-cycle signal coordination model with maximizing the sum of weighting bi- directional progression bandwidths is established. Finally, taking Wangdao road in Yiwu city as an example, the VISSIM simulation software has been used to make contrastive analysis of advantages and disadvantages between the signal coordination plan generated by the established model and the signal timing plan generated by revised MULTIBAND model. The simulation results show that compared to the signal timing plan generated by revised MULTIBAND model, the signal coordination plan generated by the proposed model can efficiently decrease the average delay and stops in high, medium and low traffic demand, which indicates that the proposed model is effective and practicable.

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    Short-term Traffic Flow Prediction Based on Deep Learning
    WANG Xiang-xue, XU Lun-hui
    2018, 18(1): 81-88. 
    Abstract ( )   PDF (1918KB) ( )  

    This paper proposes a traffic flow time series prediction model for urban expressway based on LSTMRNN under deep learning framework. First, we refactor the traffic time series with integrated spatial and temporal correlation of traffic flow, making LSTM-RNN obtain and strengthen the ability of data mining. Next, network depth is determined by both precision and timeliness during model designing. And then, we take use of Keras based on TensorFlow to implement LSTM- RNN with building model layer by layer and regulating all the parameters subtly. We validate the model utilizing the measured data from real express way, and implement local model saving and updating regularly according to the prediction accuracy. It is proved that the proposed model performs an accurate prediction for short-term traffic flow which is not restricted by the training sample size to a large extent. Meanwhile, the extensibility and practicability of the model is improved significantly.

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    Vehicle-pedestrian Collision Risk Assessment Based on Connected Vehicle V2P Communication
    PENG Li-qun, HE Shu-xian, HE Yi,AI Yun-fei
    2018, 18(1): 89-95. 
    Abstract ( )   PDF (1726KB) ( )  

    In this paper, a novel method is investigated for assessing vehicle- pedestrian collision risk in road traffic on the basis of connected vehicle V2P (Vehicle to Pedestrian) communication. First of all, a general V2P communication scenario is constructed to enable pedestrian motion being detected by approaching vehicles, explicitly along with real time obtaining the objects trajectory, velocity, orientation etc., while the typical behaviors of involved vehicles and pedestrians are analyzed, which in return, a stochastic geometric model is established for explicitly describing the pedestrian and vehicle location distribution in near crash situations. Then, vehiclepedestrian crash probability and risk evaluation model is established with comprehensively considering the V2P communication delay, positioning accuracy, uncertainty of vehicle- pedestrian relative motion. Finally, simulated Connected Vehicle test is conducted to examine the performance of pedestrian crash assessment model under the influence of connected vehicle communication delay, positioning accuracy and vehicle speed, and specially explore the relativity among these factors. The proposed method provides reference value for practical pedestrian safety application. The research results also indicate the technical requirements of Connected Vehicle system for future safety application.

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    Driving Behavior Model and Simulation of the Signalized Roundabout Based on Vehicle Trajectory
    MA Xin-Lu, GUAN Xiao-Dong
    2018, 18(1): 96-101. 
    Abstract ( )   PDF (1674KB) ( )  

    By analyzing the vehicle trajectory data of the single-approach-entering operation in signalized roundabout, which is obtained by the image recognition, it is found that vehicles’lane-changing behavior mainly concentrated in the entry and exit area. Based on the analysis of the spatial distribution characteristics and reasons, the driving psychological parameter is introduced and the cellular automaton models for the different areas of the roundabout are established. Numerical simulation results indicate that, due to entrance lane’s construction not channelized, retardation that induced by lane-changing and traffic conflicts is the main factor of traffic congestion in signalized roundabout, and lane-changing motivation and occasion depends on turning ratio and channelization, which has little relevance to the length of entrance’s green time, and given long time may cause traffic flow density within roundabout increasing, then the retardation caused by lane-changing, which may block the operation of signalized roundabout, is more difficult to dissipate.

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    Systems Engineering Theory and Methods
    On Efficiency Loss of a Mixed Traffic Equilibrium with Elastic Demand under Road Pricing
    YU Xiao-jun, GAO Shi-yu, LUO Ling-ling
    2018, 18(1): 102-107. 
    Abstract ( )   PDF (1241KB) ( )  

    The road pricing is one of the important ways to reduce the efficiency loss of traffic assignment. This paper investigates the efficiency loss of multiclass traffic equilibrium assignment with elastic demand under road pricing. Firstly, this paper formulates two variational inequality models for this kind mixed traffic equilibrium assignment under time- based decision criterion and monetary- based decision criterion, respectively. Then, the upper bounds of efficiency loss caused by this two decision criterion are analytically derived and the relations to some network parameters are discussed. Finally, a numerical example is taken to validate our analytical result. It is shown that the upper bounds of efficiency loss caused by the two kinds decision criterion all depends on the type of link travel time function, road pricing vector, the value of time of users, the ratio of user benefit and the total social surplus under time-based at traffic equilibrium assignment state. The upper bounds of efficiency loss caused by the monetary-based assignment also depends on the ratio of user benefit at system optimum and the total social surplus under monetary-based at traffic equilibrium assignment state.

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    Choice Behavior of Taxi-hailing Based on Mixed-Logit Model
    TANG Li, ZOU Tong, LUO Xia, CHEN Si-wei
    2018, 18(1): 108-114. 
    Abstract ( )   PDF (1546KB) ( )  

    In recent years, the development of taxi- hailing is rapid, but how to understand users’choice preference on taxi-hailing from the market perspective is merely seen in the current research. A mixed-Logit based choice model is built in this paper. Dependence on taxi- hailing, travel related attributes like trip purpose, individuals’social- demographic characteristics like age are chosen as the explanatory variables for the utility function. Arrival time, travel time and cost are assumed as the random variables and log- normally distributed. Generating the questionnaire using D-efficient method, an empirical survey for observing taxi-hailing use features and choice preferences was conducted in Chengdu, China. Calibrating the model based on the observed data, the significance and sign of the parameters reveal key factors of travel mode choice under the integrated urban traffic background. The marginal effect analysis on cost of conventional taxi and taxi-hailing explains the impact of price change on mode share.

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    Car Commuters’Travel Behavior Based on Rewarding and Punishments Strategies
    QIN Huan-mei, GAO Jian-qiang, HE Shi-hui, GUAN Hong-zhi
    2018, 18(1): 115-120. 
    Abstract ( )   PDF (1770KB) ( )  

    Rewarding and charging strategies are important to solve the problem of traffic congestion. On the basis of a survey in Beijing, this paper conducts an exploratory research for the travel mode choice behavior under these two strategies. The results show that more car commuters choose to travel during off-peak hours under the rewarding strategy, and there is a better effect for car travelers to give up their car trips under the punishments measures. Based on Prospect Theory, most of travelers' choices are "gains" under the rewarding measures, while under the charging measures, most face "loss". Different groups show different risk preference in travel choices. In order to attract more car commuters to transfer to travel during off- peak period, rewarding measures are more suitable for middle- income groups and punishments measures are more applicable for high- income groups. For guiding more car commuters to transfer to use other travel modes, the two measures work more effectively to lowincome groups. The conclusions will provide information for producing traffic demand management policy.

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    Shared Taxi Problem Based on the Improved Differential Evolution Algorithm
    ZHENG Jian-guo,LI Yuan-yuan
    2018, 18(1): 121-126. 
    Abstract ( )   PDF (1297KB) ( )  

    A more realistic many-to-many dynamic shared taxi model is established, with considering the factors such as fuzzy time window and willingness to carpool, and the improved differential evolution algorithm is supposed. A segmented real number coding scheme is designed in this algorithm, as well as the scaling factor F and the crossover probability CR based on the individual ranking and a semi- greedy selection strategy mixed roulette. The simulation results indicate that the proposed algorithm could find higher quality solutions than the traditional differential evolution algorithm and the genetic algorithm; compared with the non- carpool mode, the total cost of the developed model is reduced, and the number of served passengers is increased; besides, the influence of the fuzzy time window and willingness to carpool on the solution of the model is also analyzed.

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    Identification of Driver Distraction States with Optimized Support Vector Machine Method
    ZHANG Hui, QIAN Da-lin, SHAO Chun-fu, QIAN Zhen-wei, JIAN Mei-ying
    2018, 18(1): 127-132. 
    Abstract ( )   PDF (1312KB) ( )  

    The identification of driver distraction states is the important component of driver distraction warning system. This paper establishes Support Vector Machine (SVM) model based on Radial Basis Function to identify driver distraction states. The genetic algorithm (GA) is used to optimize the parameters of SVM model. The optimized SVM model is used in the identification of driver distraction states, and the effectiveness of the model is validated by experimental data that used the driving performance data. The results show that the recognition accuracies of driver distraction states in free flow condition and crowed flow condition are 94.5% and 96.3%, respectively. Compared to the C4.5 and Cross Validation (CV)-SVM, the performances of GA-SVM are superior to the other two methods. This model can effectively determine the driver distraction state, which can provide data support for driver distraction warning system and control strategy.

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    A Hybrid Metaheuristic Algorithm for the Transit Bus and Driver Scheduling Problem
    HOU Yan-e,KONG Yun-feng,ZHU Yan-fang, MA Rui
    2018, 18(1): 133-138. 
    Abstract ( )   PDF (1394KB) ( )  

    This paper deals with the bus and driver scheduling problem that arises from most transit companies in China where a driver should drive the same bus in the same day. A hybrid metaheuristic algorithm is proposed for the problem. Firstly, a bus schedule model with minimum number of buses is built and solved as the initial solution, which is an invalid solution just satisfying with the constraint of driver break time. Secondly, the local search operators are literately used to adjust the invalid solution to a feasible solution as well as reducing the solution cost. And then, a ruin and recreate method is introduced to expand the search space to avoid trapping into the local optimum. All the blocks of the feasible solution in the local search are also collected. Finally, a set covering problem (SCP) model tries to select global best solution from the collected historic blocks. The algorithm was tested on 13 real world instances and the results show that the proposed method is effective.

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    Traffic Assignment Theory Based on Two-stage Travel Time
    HE Sheng-xue
    2018, 18(1): 139-144. 
    Abstract ( )   PDF (1369KB) ( )  

    To overcome the shortage of existing static traffic assignment theories with respect to dealing with the network flow evolution, a new traffic assignment model based on the inverse lambda fundamental diagram is presented. Through continuously solving the new model and renew the traffic flow states of links, the method of analyzing the evolution of network traffic flow based on the new static traffic assignment model is clarified. At first assume that all links stay at free flow state and obtain the equilibrium link flow. If some links reach critical flow, set their state to congestion and resolve the model to obtain new equilibrium flows. Following the similar way, deal with new situation until the model is infeasible or no link reaches critical flow. By defining the different levels of congestion bottlenecks, the analysis of evolution of network flow is finished. Numerical example demonstrates the feasibility of the new model and method. The new theory provides a new way to analyze network flow evolution and extends the existing static traffic assignment theories.

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    Cascading Failure Simulation of Road Network Based on Prospect Theory
    LIU Wei, CHEN Ke-quan, LIU Yu-yin, TIAN Zong-zhong
    2018, 18(1): 145-151. 
    Abstract ( )   PDF (1695KB) ( )  

    In order to avoid the large- scale crash of urban traffic network, which caused by traffic accident, cascading failure model which including the behavior of route change and the duration of incident is established. The initial load is identified by the evolution of traffic demand. The duration of failure and lazy loading method are introduced. When facing traffic accident, the subjective factor is considered. Then, based on prospect theory, we determine the dynamic way for redistribution of load. Finally, the solution process of this model by using MSA algorithm is given. The simulation results show that with the increase of failure time, the probability of path change have remarkable difference. Under different failure time and initial demand, the results can be used to quantitative analysis the evolution of cascading failure which caused by section. When direction of road has been considered, once the two direction of road have been failed, the speed of cascading failure will obviously paced up. In conclusion, this paper shed new light on the management of traffic accident.

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    Level of Service Criteria of Bus Lane Based on Improved Factor Assessment Method
    HUO Yue-ying, LI Wen-quan
    2018, 18(1): 152-157. 
    Abstract ( )   PDF (1234KB) ( )  

    By introducing Factor Assessment Method and analyzing its principle, a new method called Improved Factor Assessment Method is proposed, and so utilization of theoretical method is enhanced. The measure of Unit Delay of Bus Lane is proposed and used as an indicator to evaluate bus lane level of service (LOS). An estimation model of bus delay at near- side stop developed in previous study is used to obtain delay sample. The values of explanatory variables in this model are identified through field surveys and based on which the delay sample of bus lane is obtained and its size is 15 288. Frequency analysis for Unit Delay of Bus Lane is conducted and so its cumulative distribution is obtained. Based on the cumulative distribution and using the Improved Factor Assessment Method LOS criteria of bus lanes in China are established. The LOS criteria established in this paper can provide guidance for operation, design and planning of bus lanes.

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    Modeling of Operating Mode Distributions and Emission Estimation at Intersection
    XU Yao-fang, YU Lei, SONG Guo-hua
    2018, 18(1): 158-165. 
    Abstract ( )   PDF (2223KB) ( )  

    Since traditional traffic parameters, such as flow and velocity can be easily obtained from road traffic networks, and alsothe Vehicle Specific Power (VSP)-based approach to calculate vehicle emissions is widely used in the state-of-practice emission models, the modeling results could be used directly in the calculation in emission models, which takes into account the different operation modes of the intersection, thus enabling the dynamic evaluation of emission benefits of traffic networks. Based on the character analysis of the operating mode distribution at intersections, the characteristic parameters of intersection operating modes are identified. Then, the intersection operating mode distribution model is established based on the Partical Swarm Optimization K-Means cluster algorithm. Compared with the real-world data, the errors of the emissions of HC, CO, NOx is 6.08%, 0.80%, 4.18% based on the proposed model, and 38.67%,28.87%, 12.22% based on MOVES respectively.

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    Road Congestion Pricing Model Considering Energy Consumption Measurement
    HUANG Wen-juan, ZHANG Wei-hua, SHEN Jia-ying, JIANG Nan
    2018, 18(1): 166-172. 
    Abstract ( )   PDF (1480KB) ( )  

    Combined with the actual situations, the generalized costs which considering the energy consumption and congestion pricing of private car and comfort consumption of bus are established, respectively. Furthermore, regarding the travel time as the upper objective function, the bi- level programming model based on energy consumption constraint is built. The objective of the upper model is to minimize the delay of the whole system, and the lower one is stochastic user equilibrium with dual-mode choice. The genetic algorithm and Frank-Wolfe algorithm are used to solve the proposed model. The traffic management strategies are abstracted and imported into the model as two simple examples. The transportation energy consumption change before and after the toll road and the effect of road pricing with different energy efficiency goals in multiple circumstances are derived and discussed. The calculation results show that the implementation of road congestion charge is beneficial to reduce traffic energy consumption when the traffic demand is large. When the energy saving target is less than 25% and the road charges are taken at the same time, the travel time of the road network is reduced accordingly.

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    Multiple-group Structural Equation Model of Passenger Satisfaction in Urban Rail Transit
    CHEN Jian, TANG Wei, CAI Xiao-yu, DUAN Li-wei
    2018, 18(1): 173-178. 
    Abstract ( )   PDF (1247KB) ( )  

    In order to solve the problem that the influence law of variables could not be described quantitatively because of the lack of interaction among variables in the existing passenger satisfaction model of urban rail transit, the paper uses the structural equation model to construct the passenger satisfaction multiple-group model of urban rail transit, and the path coefficients among the latent variables are quantified and analyzed. Finally, the clustering research is carried out according to the characteristics of the samples. The results show that service quality, corporate image and passenger trust had positive and direct effects on passenger satisfaction, loyalty had indirect effect on satisfaction, and the effect of service quality (0.98), corporate image (0.59), passenger trust (0.52), loyalty (0.03) on satisfaction is decreasing successively. There are obvious differences in the influence mechanism of passenger satisfaction under different gender and different occupations.

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    Optimization Model and Branch-and-price Algorithm for Train Dispatching on a Railway Network
    LAN Ze-kang,HE Shi-wei,LI Hao-dong
    2018, 18(1): 179-185. 
    Abstract ( )   PDF (1351KB) ( )  

    This paper investigates train dispatching that train can change its driving line in a railway network,in order to minimize the total arrival deviation time of all trains. Firstly,a network flow model based on train arrivaldeparture time is built by introducing the flow balance constraint,and using commercial software GUROBI to solve it. This paper also develops an integer programming model based on time- space path,and a branch- andprice solution framework is proposed,using pseudocost branching and best-node first search strategy to speed up the convergence. The results of numerical experiments show that in comparison with GUROBI,the algorithm is effective. When the number of trains is 20,the computational time is reduced by 91.6%,and the gap between the final feasible solution and the optimal solution is 9.72%. The branching strategy in this paper is better than most fractional branching,and the objective value of train rescheduling with flexible driving line relative to only with original driving line falls by 37.4% on average.

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    Capacity Allocation and Pricing Joint Decision Model for Multiple Train Considering Train Stop Constraints
    JIANG Wen-hui, XU Ling, LI Yan-lai, LI Si-wen, DING Xiao-dong
    2018, 18(1): 186-192. 
    Abstract ( )   PDF (1311KB) ( )  

    Based on the idea of revenue management, the railway freight market is divided into allotment market and spot market. For each origin-destination itinerary in the rail transport network, it is assumed that the demand for allotment market is a normally distributed random variable, and the demand for spot market is expressed as the linear function of price and is supplemented by a random variable to reflect the volatility of demand. Considering the train stop constraints, the mixed integer probabilistic nonlinear programming model of capacity allocation and pricing joint decision is established with train stop schedule plan, capacity alloction program and pricing program of spot market as decision variables, which is solved by the particle swarm algorithm, then the model and the algorithm are verufied by an example. Finally, compared with the unified pricing strategy of two markets, the results show that the model establised in this parper can effectively increase revenue, and revenue optimization is more pronounced as demand fluctuations increasing in spot market.

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    Comprehensive Optimization for Utilization of Arrivaldeparture Tracks and Throat Area in High-speed Railway Station
    LIU Jie, YIN Yong, GAN Zhi-liang
    2018, 18(1): 193-199. 
    Abstract ( )   PDF (1604KB) ( )  

    It is studied in this paper that the arrival-departure tracks distribution and throat area of the train route choice problem. Under the condition of satisfying the application rules of the line, the multi-objective optimization model is built for arrival-departure tracks and the throat area of station. The objective of the model is obtaining a strong stability of the operation plan, and the optimal route condition of the incoming train. It is solved by the nondominated sorting genetic algorithm-II (NSGA-II). The algorithm can effectively save the outstanding individuals and reduce the computational complexity. Finally, taking a high- speed railway station as an example, Matlab software is programmed to obtain Pareto optimal solutions. A optimization scheme is chosen to compared and analyzed with the original scheme. The results show that the model and the algorithm can effectively improve the comprehensive application scheme of the throat area and the arrival and departure lines of the station.

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    An Integrated Optimization Model of Train Timetabling and Rolling Stock Scheduling for an Urban Railway Line
    YAO Yu, ZHU Xiao-ning, KANG Liu-jiang, LIAO Zheng-wen
    2018, 18(1): 200-206. 
    Abstract ( )   PDF (1556KB) ( )  

    The interactive relationship among passenger flow demand, train timetable, and rolling stock schedule is analyzed on an urban rail corridor. Based on the operational costs of the companies and travel costs of passengers, a non- linear integrated model of timetable scheduling and rolling stock utilization is proposed, in which we also take into account the constraints of operational safety, resource limitation and train capacity. Moreover, the model is transformed into a mixed-integer linear programming model by the linearization method then solved by ILOG CPLEX. Finally, numerical experiments based on the Beijing Yi Zhuang metro line are conducted. The results show that this integrated approach can reduce the total system costs, improve the utilization efficiency of trains and meet the interests of both passengers and operators better.

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    Optimal Allocation for Shipping Alliance Slot Charter Based on Stochastic Chance Constrained Programming
    CHEN Ji-hong, YANG Chen, ZHEN Hong, ZHANG Fang-wei, YU Hang, ZHENG Shi-yu
    2018, 18(1): 207-214. 
    Abstract ( )   PDF (1608KB) ( )  

    Recently, facing a downturn and fierce competition in shipping market, the major container liner companies have to set up liner alliance to share slot resources, reduce its system costs and increase market competitiveness. Studying the slot allocation under the mode of slot charter, which is the basic form of alliance cooperation, has a great practical significance. This paper is based on the uncertain demand of the shipping market, studies optimal allocation problem for shipping alliance slot charter and introduces an optimal allocation model for shipping alliance slot charter, which is used in charter and allocation decision of liner company by stochastic chance constrained programming. The results show that the method and model proposed in this paper can effectively synergistically allocate slot for liner alliance system. The case study results are also consistent with the actual practice, which examines the validity and practicality of the method and model.

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    Multi-model Fusion Dynamic Prediction Method of Enroute Congestion Situation with Considering the Correlation of Air Route Segment
    LI Gui-yi, HU Ming-hua
    2018, 18(1): 215-222. 
    Abstract ( )   PDF (2497KB) ( )  

    This paper studies the dynamic real- time prediction of air route traffic congestion, which aims at providing scientific basis to alleviate air route traffic congestion and optimize control strategies. First, based on the theory of neural network, a traffic flow parameter prediction model is established, taking the correlation of air route segment into consideration. Then a multi-model fusion prediction algorithm is adopted to improve forecast accuracy, and air route segment congestion situation is predicted based on fuzzy C-means clustering algorithm and previous and predicted traffic flow parameters of air route segment. Finally, the model is verified by ATC radar data. The results demonstrate that this model takes into account the factors of both space and time, and the prediction accuracy of air route congestion is 82.29%. The model corresponds to reality and is feasible for air route traffic states prediction. Meanwhile, consideration of the correlation effects of air route segments and prediction using multi-model fusion algorithm can significantly improve forecast accuracy.

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    Cases Analysis
    Passenger Classification for Urban Rail Transit by Mining Smart Card Data
    ZOU Qing-ru, ZHAO Peng,YAO Xiang-ming
    2018, 18(1): 223-230. 
    Abstract ( )   PDF (2171KB) ( )  

    Traditional passenger classification methods based on traffic survey have drawbacks on limited sample and subjective standard, this paper constructs a new method and indexes in perspective of "consumer behavior" by using automatic fare collection (AFC) data. In order to meet the computation requirements of large data set, the SPSS Modeler is used to cluster the passengers. In case study, one month's AFC data of Beijing rail transit is applied and results shows that it is the best to cluster passengers in five classes, and the stability is verified by comparison with the clustering results in five consecutive days. The departure time transferring elasticities of different passenger types under pre-peak discount pricing strategy of Beijing transit are also analyzed. This study improves the objectivity of passenger classification and provides method support for traffic policy formulation and operation strategy evaluation.

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    Public Bicycle Development under the Influence of Bike-sharing
    MA Shu-hong, YANG Ye, WANG Yuan-qing, HAN Sun-sheng
    2018, 18(1): 231-236. 
    Abstract ( )   PDF (1387KB) ( )  

    Public bicycle as free-ride project of government subsidies, compared with the bike-sharing in supply mode, has differences and certain complementary relationship. The mechanism of government subsidy is the key to differentiate the two transportations and to strengthen the complementary relationship. Using multi-objective programming method in this paper, to build game relations between the three aspects from the government utility maximization, the enterprise profit maximization, user satisfaction maximization, as a case study of xi 'an public bicycle system operation condition, analyzing the influence of government subsidy to the user satisfaction, corporate earnings and government function, etc. The calculation results show that government subsidies to the benefit to improve service level of public bicycle enterprise and customer satisfaction. But with the increase of public bicycle usage rate, the government's fiscal pressure is increased, and corporate earnings and the government utility are declining. Then bike- sharing can share some user, reduce the pressure of government and the public bicycle operating companies.

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    Public Bicycle System Ridership Modes Based on CNL Model
    LIU Ye,WU Ge,ZHOU Qiang
    2018, 18(1): 237-244. 
    Abstract ( )   PDF (1797KB) ( )  

    Public bicycle system has been developing rapidly as a new means of transportation to solve the“last mile problem”in many cities of China. In this paper, public bicycle ridership is divided into three modes: transfer to metro, transfer to bus, and independent use. Based on the survey data of public bicycle usage carried out along metro lines in Suzhou, Cross- Nested Logit model is built to analyze major factors affecting ridership modes of public bicycle quantitatively. The estimation results reveal a large inclination to use public bicycle as an independent mode of travel rather than access to metro or bus. It is also suggested that public bicycle is most likely a competitor to bus in short-distance trip, but have complementary function to metro. The study helps to reconsider the positioning and developing orientation of public bicycle system.

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