Loading...

Archive

    25 December 2017, Volume 17 Issue 6 Previous Issue    Next Issue

    For Selected: Toggle Thumbnails
    Competitive Pricing Strategy of Railway Freight Considering Capacity Constraint
    ZHANG Xiao-qiang, ZHANG Xu, PENG Yan
    2017, 17(6): 1-6. 
    Abstract ( )   PDF (1229KB) ( )  

    In traditional railway freight marketing, few research on pricing considered the capacity constraint of the railway freight system. To optimize both the freight price and the capacity constraint of railway marshaling stations and lines, a bi- level programming model based on the market competition mechanism is proposed in this paper, whose upper level is maximization of railway freight operator’s total profits and lower level is minimization of shipper’s generalized cost. On the premise of meeting constraints, an optimal pricing strategy of railway freight and freight volume allocation scheme as well as maximized profits of railway freight operator can be achieved with this model. The bi-level programming model can be transformed into a single level integer linear programming with primal- dual conditions and solved by an exact solution approach in order to reduce model solving difficulty. The feasibility of the model in the pricing of railway freight of China is proved by a numerical instance.

    References | Related Articles | Metrics
    Relationship between Energy Consumption and Economic Growth and Influencing Factors in Transportation
    ZHANG Shi-qing,WANG Jian-wei, ZHENGWen-long
    2017, 17(6): 7-12. 
    Abstract ( )   PDF (1279KB) ( )  

    In order to coordinate a contradiction between the energy consumption and economic growth in transportation, it’s important to study the decoupling relationship between the two with the quantitative analysis. Decoupling modal is used to study what decoupling status occurred, and refined LMDI modal is used to analyze main factors that influence the decoupling relationship. Taking Hebei Province as a case study shows that weak decoupling status occurred in most years, but there was a rebound trend in recent years. Transportation fixed assets investment and integrated transport structure factor play a negative role in decoupling status, and highway transportation is the greatest obstacle of the decoupling relationship. Meanwhile, technological progress is the main factor to promote the occurrence of decoupling, and highway transportation, railway transportation play a positive role in decoupling status.

    References | Related Articles | Metrics
    Intercity Highway Trip Chain Model and Its Formation Mechanism
    JI Xiao-feng, LIAN Chen-xi
    2017, 17(6): 13-19. 
    Abstract ( )   PDF (1752KB) ( )  

    In order to divide the intercity highway trip chain model and analyze its formation mechanism, the process of highway trip is analyzed considering the transfer within the city. And the characteristics of intercity trip chain in highway are extracted with the data of 1 757 questionnaires for highway passenger trips in Kunming, China. Then the actual trip chain structure is calculated and the method for dividing intercity highway trip chain model is established. Finally, the formation mechanism of intercity travel chain model of highway transport is divided into three categories of type I, II and III. Results show that the average distance of Kunming intercity highway transport is 237.95 kilometers. In the process of city interior trip, the share of public transport is largest. The proportion of three types of intercity highway trip chain in Kunming is 13.9∶6.4∶4.7, and the overall structure is reasonable. Wherein, the trip chain model of type II can best reflect an equilibrium and stable formation mechanism. In addition, the income factor in individual attributes is an important driving force for the rationalization of passenger travel chain structure. One of the most important factors that have led to the irrational structure of the trip chain is the city internal trip delay, rather than the intercity travel process.

    References | Related Articles | Metrics
    Facility Location Design in Jing-Jin-Ji Logisitic Network under Imperfect Information
    DONG Peng,WANG Xi-fu,YUN Li-fen
    2017, 17(6): 20-26. 
    Abstract ( )   PDF (1839KB) ( )  

    In order to deal with the large-scale facility location problems, we propose a continuum approximation (CA) model for reliable facility location with imperfect information and two trips. In this model, due to facility disruption and imperfect information, a customer cannot know the facility states before she reach them and she should return her start point after she obtains the service or gives up. Since the proposed model cannot obtain the facility layouts directly, we use Disk algorithm to discretize the results of CA model, in order to obtain the facility layouts. Taking the facility location in Jing-Jin-Ji area as example, we test the performance of the proposed model and discuss the features of facility layouts. We make sensitivity analysis to discuss the influence of different model parameters on the facility location design in Jing-Jin-Ji area.

    References | Related Articles | Metrics
    Evaluating the Safety Efficiency and Emergency Efficiency of the Key Nodes of Sea-lanes
    GAO Tian-hang, LV Jing
    2017, 17(6): 27-32. 
    Abstract ( )   PDF (1218KB) ( )  

    In order to evaluate the safety efficiencies and emergencies efficiency of the key nodes of sealanes, this paper constructs a model which is based on a two- stage DEA considering the negative inputoutput variables, preference difference and decomposition efficiency. The proposed model is used to evaluate the safety efficiencies and emergency efficiencies of 16 key nodes of sea- lanes. The results show that the efficiencies of Lombok Strait and Hormuz Strait are always inefficient. Increase with the value of α, Mandeb Strait, Suez Canal and Makassar Strait will become inefficient DMUs. Analysis found that the efficiency values of subsystems are not fluctuant, and the safety subsystem is dominated. The efficiencies of the Strait of Malacca and Lombok Strait are irregular.

    References | Related Articles | Metrics
    A Car-following Model Coupling Machine Learning and Dynamic
    DING Dian-dian, SUN Lei, CHEN Song
    2017, 17(6): 33-39. 
    Abstract ( )   PDF (1341KB) ( )  

    So far, the car- following model is mostly built by dynamic and machine learning algorithms, there remains no researches on the building of car- following model by coupling the two methods. On the basis of the linear combination forecast, this paper improves the objective function of the optimal weighting method and coupled the Gipps model and BP model based on back propagation neural network to establish the linear combination car- following model (LC- CF). The results show that the speed forecasted by BP model peforms better in accuracy and the speed forecasted by the Gipps model peforms better in security. LCCF model can achieve the purpose of controlling the accuracy and security of the speed forecasting by adjusting the parameters and controlling the weight of BP model and Gipps model in the LC-CF model.

    References | Related Articles | Metrics
    A BPNN-based Speed Prediction Method with GA-PSO Optimization Algorithm
    LIU Ji-chao, CHEN Yang-zhou
    2017, 17(6): 40-47. 
    Abstract ( )   PDF (1976KB) ( )  

    The BP neural network (BPNN) is used to research on the speed prediction. For the problem that the different initial weights and thresholds of the BPNN can influence the speed prediction accuracy, a speed prediction method based on the BPNN with GA- PSO optimization algorithm is proposed. A route from Beigongdaximen to Baigeqiao is selected as the research path; then the speed prediction model based on the BPNN is established. Based on the optimization process between the genetic algorithm (GA) and particle swarm optimization (PSO), the speed prediction method based on the BPNN with GA- PSO optimization algorithm is designed through the method that the optimal weights and thresholds of the BPNN are determined by using the iteratively optimal method. Finally, based on the selected route, the GA- BPNNbased, the PSO-BPNN-based and the proposed speed prediction methods are used to achieve speed prediction, respectively. The result indicates that, compared with the other two optimal methods on the BPNN, the average speed errors of the proposed method are reduced by 37.1% and 24.1%, respectively. The proposed method can effectively improve the accuracy of the speed prediction.

    References | Related Articles | Metrics
    The Impact of Driving Experience on Advanced Driving Assistant Systems
    LV Neng-chao, DUAN Zhi-cheng, WU Chao-zhong
    2017, 17(6): 48-55. 
    Abstract ( )   PDF (1904KB) ( )  

    The purpose of this paper is to investigate the effect of driving experience on the Advanced Driving Assistant Systems (ADAS). In this research, Field Operational Tests (FOTs) is designed, and thirtytwo participants are recruited. Vehicle dynamic information, environmental information, and driving operational data are recorded by data synchronization technology. The collected data are pretreated and the urban expressway data are extracted for statistical analysis. The test results show that, in the following vehicle scenario, ADAS has a positive impact on skilled drivers and unskilled drivers, especially for unskilled drivers. In the braking scenario, ADAS has a positive impact on unskilled drivers but a negative impact on skilled drivers. In terms of acceptance, skilled drivers significantly accept ADAS more than unskilled drivers. The obtained results are helpful for future development of ADAS for avoiding unexpected negative effects.

    References | Related Articles | Metrics
    Geometry Constraints-based Method for Visual Rail Track Extraction
    WANG Zhong-li, CAI Bai-gen
    2017, 17(6): 56-62. 
    Abstract ( )   PDF (2332KB) ( )  

    This paper introduces an approach that extracts rail track by matching the edge features of the real image to the candidate rail patterns which is parameterically modeled, and the geometric constraints of the rail pattern are taken into consideration during the pattern generation. To address the challenge posed by the open environment, we assume the top surfaces of the pair rails are located in a virtual plane, and a homography matrix can be used to describe the geometry relationship between the virtual plane and the camera image plane. Then based on inverse projective mapping (IPM), the whole image is divided into several sections along the vertical direction. In each section, the rail pair can be approximated by two parallel line segmentations. Based on the prior geometric constraints, candidate rail patterns are generated and the rail track recognition is modeled as a 2D searching process. Some prior knowledge is used for robust detection. The rail track extraction in the whole IPM image is obtained by integrating the results of each section. During this integration stage, a curve fitting is applied and statistics of some parameters, such as the direction and position of the line segments can be adopted to remove the noise results from each section. The fitting curve is converted back to the original grey image. Experiments with on-site image show the performance of the proposed approach.

    References | Related Articles | Metrics
    Foreground Objects in Surveillance Video of Urban Traffic Intersection Using Feedback Background Subtraction Model
    LI Hao, ZHANG Yun-sheng
    2017, 17(6): 63-69. 
    Abstract ( )   PDF (1724KB) ( )  

    To accurately detect the slow motions or temporarily stopped foreground objects in surveillance video of urban traffic intersection,a background subtraction model is proposed using the feedback of foreground objects. The background template is built based on the observed pixel values and each pixel is assigned counters to describe the current traffic state and the stability of a pixel. The foreground decision depends on an adaptive threshold, and background model update is based on the feedback current traffic state and the stability. The overall results obtained with the real- world urban traffic videos are presented to demonstrate that the proposed method achieves better performance of both qualitative and quantitative evaluation than other state- of- the- art methods in the slow motions or temporarily stopped objects traffic scenario. This method satisfies the requirement of the real-time and accuracy of the intelligent video in the urban traffic intersection, and the foundation for intelligent video analysis is laid.

    References | Related Articles | Metrics
    Vehicle Energy-consumption Stratified Sampling Survey Based on Econometrics Regression Model
    HU Ying,SHAO Chun-fu,WANG Shu-ling,SUN Hai-rui
    2017, 17(6): 70-76. 
    Abstract ( )   PDF (1735KB) ( )  

    With increasing of the vehicles and deteriorating of the environment, controlling the use of vehicle fuel has become one of the important measures in Beijing transport energy saving and emission reduction. The private vehicle energy-consumption cannot count from the whole sample, because there have too large number and the adding oil for the private vehicle is subjective. It only can count from the sampling survey method. Therefore, in order to obtain the reliable data of fuel consumption which accurately reflects the city's private vehicle energy consumption, it is necessary to explore the key factors of energy consumption and design a scientific stratified sampling framework. based on the data of Beijing private vehicle energy consumption survey, this paper constructs a econometric regression model to study the key determinants of energy consumption of private vehicle. This paper proposes the stratified sampling frame and threshold divided model through introducing the dummy variables which uses in econometrics, eventually form a stratified sampling framework.

    References | Related Articles | Metrics
    Influence of Road Geometrics on Car-following of the Intelligent Driver Model
    QIN Pin-pin, PEI Shi-kang, YANG Chun-lan, MENG Qiang,WAN Qian
    2017, 17(6): 77-84. 
    Abstract ( )   PDF (2044KB) ( )  

    An improvement of Intelligent Drive Model (IDM) considering the influence of road geometrics (slope, curve and superelevation) on car-following is established. Combining the two degree freedom vehicle dynamics model, the car-following simulation of the improved IDM is carried out by using Matlab/Simulink. The simulation results show that the improved IDM following car’s headway increases and speed decreases in the road with turning, super-elevation and some certain downhill or uphill gradient, which ensures the carfollowing safety. It is also found that the yaw rate and lateral velocity decrease with superelevation and radius increasing at certain gradients, which ensures the handling stability of the following car. The research results indicate that the modified IDM can more precisely response to the influence of gradients, radius and super-elevation than non-modified IDM.

    References | Related Articles | Metrics
    Width Optimization Model of Pedestrians Crosswalk under Signal Control
    SONG Xian-min,DENG Xiao-lei,LI Li-li,YANG Qiu-jie,BAI Qiao-wen,LUO Rui-qi
    2017, 17(6): 85-93. 
    Abstract ( )   PDF (2428KB) ( )  

    In order to improve the safety of pedestrians in the crosswalk, a working model is developed to optimize the width of pedestrians crosswalk. Firstly, pedestrians space-time distribution under signal control is analyzed, indicating that pedestrians transverse space width present a certain relationship with time and longitudinal position. Then an optimization model is established concerning the impact of bi-direction pedestrian flow and directional split ratio on pedestrians’transverse space. At last, a case study is conducted in Changchun. The result shows that the model can fit well with actual situation and pedestrian crossing time has a decrease by 5.60%, 3.29% and 2.58% at three sites. The model pay more attention on space and time safety. And it can provide theoretical reference and technical support for the design of pedestrian crosswalk width.

    References | Related Articles | Metrics
    Commuting Modal Shift of Relocated Residents in City Based on Bayesian Networks
    WU Jing-xian, YANG Min
    2017, 17(6): 94-100. 
    Abstract ( )   PDF (1807KB) ( )  

    Triggered by rapid urban expansion and suburbanization in China, a great change has occurred in the commute pattern among relocated residents. Currently, studies on the mechanism between relocation and travel behavior undertaken in China mainly focus on describing the motorizing trend of movers’ commute behavior and explaining its possible causes in a regional or national level, but few have made an elaborate analysis from the personal aspect. Therefore, this paper is empirically made in Nanjing and a Bayesian network is developed to assess the impacts of movers’socio- demographic characteristics, relocation- related attributes and perceived changes in built environment on this modal shift. The inference results indicate that car ownership, personal income, additional car purchase, house type, house payment, relocation type, convenience of subway commuting, and distance to subway station are the most important determinants that lead to the commute modal shift towards private car. The result provides supportive insights for urban planner in countermeasure design on built environment to effectively control this motorizing trend.

    References | Related Articles | Metrics
    Commuter Behavior Mechanism of Travel Mode Choice Based on the Perspective of Social Interaction
    PAN Chi, GUO Zhi-da
    2017, 17(6): 101-106. 
    Abstract ( )   PDF (1362KB) ( )  

    This paper regards "commuter uncontrolled use of private car" as a social dilemma, regards the commuters as the research object, collecting data by means of questionnaire survey built the travel mode choice behavior model considering social interaction effects and analysis multiple equilibria of collective behavior. In this paper, the critical mass theory is used to analyze how the collective behavior can reach the threshold of equilibrium transfer, and then make a quantitative evaluation of the policy intervention to eliminate the inferior equilibrium. The research found that there is a strong social interaction between individuals who made the travel mode choice. Policy intervention makes the individual choice of public transport travel utility increased slightly more than 0.695, the original stalemate in the inferior proportion of transit trips (13.1%) will be transferred to the advantage of the equilibrium state (72.3%). The research results have some reference value for the establishment of traffic management policies and measures.

    References | Related Articles | Metrics
    Two Reference Points’Route Choice Model and Its Empirical Study
    LIU Shi-xu, GUO Li-dan, CHENWen-si, YAN Hao, FANG Jie
    2017, 17(6): 107-113. 
    Abstract ( )   PDF (1208KB) ( )  

    Aiming at the uncertainty in the daily travel decision, this paper investigates the route choice behavior under the condition of two reference points based on the prospect theory. First of all, the route choice model based on the prospect theory is proposed by taking the acceptable earliest arrival time and the working start time as the two reference points. Then, a questionnaire is designed and the results of the route choice in the four scenarios are counted. Using the nonlinear regression method, we estimate the parameters of the value function and the weight function of the two reference points’route choice model. Furthermore, the parameter estimation results are compared with the parameters estimated in the previous literature. The results show that the parameter values obtained in the case of single reference point do not apply to the case of two reference points. At the same time, it is determined that the value function is an asymmetric curve, and the expected arrival time is close to the working start time. The slope of the value function curve is steeper in the late arrival gain interval.

    References | Related Articles | Metrics
    Data-driven Optimization Methods for Dynamic Transit Network Adjustment
    CHENWei-ya, LIU Xiao-fei, WU Liang-jiang
    2017, 17(6): 114-119. 
    Abstract ( )   PDF (1506KB) ( )  

    In order to meet the variable demand of bus transit and improve the efficiency of operation, this paper proposes a data- driven dynamic transit network optimization method- rolling decision, frequency priority, iterating of generating and deleting routes. The method consists of two parts: the first part is the decision making of data-driven optimization timing; the second part is the decision making of optimization adjustment measures, which including the departure frequency optimization and the bus network structure optimization. The specific idea of this method is that through data modeling and analysis on the current transit network, the system determines whether to take optimization adjustment of transit network on time. If the network needs to be optimized, the system optimizes the frequency of transit lines with priority. If not, it should optimize the structure of the transit network by iterating generating and deleting routes. The example analysis shows that this method can make full use of the data collected by the Intelligent Public Transit System, and the operation is convenient. Finally, it can provide decision reference for dynamic transit network optimization.

    References | Related Articles | Metrics
    A Method Considering Non-compensation Principle to Estimate Railway Passenger Choice Behavior Based on the Preference Choice Set
    LAI Qing-ying, LIU Jun, MAMin-shu, LUO Yong-ji
    2017, 17(6): 120-125. 
    Abstract ( )   PDF (1508KB) ( )  

    The refinement of demand forecast is an important basis for the railway to increase revenue. This paper considers the influence of railway product attributes on passenger choice behavior. We use the preference queue of products to describe a particular types of passenger. The maximum likelihood function of passenger selection process in the pre-sale period is formulated based on sale data to calculate the arrival probability of different types of passenger. In this paper, the effectiveness of the model is verified by the simulation example. Furthermore, the arrival probability of the different types of passenger from Beijing South Railway Station to Shanghai Hongqiao Station is estimated by empirical data. Further statistics is utilized to get the buy-up behavior and the sensitivity to attributes in different periods, and the result can be used to optimize the ticket selling strategy.

    References | Related Articles | Metrics
    High-speed Railway Passenger Ticketing Behavior Characteristics Based on PCA and Clustering
    LIU Fan-xiao, PENG Qi-yuan LIANG Hong-bin, FU Zhi-jian, ZHANG Bin
    2017, 17(6): 126-132. 
    Abstract ( )   PDF (1770KB) ( )  

    The ticketing behavior is an important basis for the railway transportation operation planning. It influences the occupation process of the train capacity. Based on the ticketing statistics data from Gui-Guang high- speed railway, principal component analysis (PCA) is used to analyze the behavior characteristics comprehensively to obtain the critical characteristic variables, while the ticketing passengers are considered as the samples. Considering the tickets probability density function for a single purchase, the ticketing passengers are clustered by double clustering based on fuzzy C-means algorithm and the optimal number of cluster K is determined by fuzzy clustering effectiveness index: Xie- beni and Separation Coefficient. The result shows that the number of passengers per trip, the number of ticketing days in advance, GDP per capital of original-destination (OD) cities and pre-sell approach are the significant factors. The ticketing behaviors preformed distinctively in different passenger types.

    References | Related Articles | Metrics
    Multi-objective Optimization Algorithm of Train Operation Process Based on Incorporated Preference Information
    WANG Long-da,WANG Xing-cheng, ZOU Gang-wen, SUN Da-wei, LIU Gang
    2017, 17(6): 133-140. 
    Abstract ( )   PDF (1955KB) ( )  

    The optimization of train operation process is a sophisticated problem which is multiple objectives, large delay and nonlinearity. In order to solve the problem, the multi- objective optimization model of train operation process is established, which regards train kinetic equation as constraint, and energy consumption, comfort, precise parking and punctuality as control targets, the optimization of train operation process based on multi-objective genetic particle swarm optimization using incorporated preference information is proposed. The advantage of the proposed method is summarized as follows: the proposed strategy with incorporated preference information can better maintain the diversity of the population by controlling the distribution of individuals of the population in the solution space. Thus, there is a more obvious role of global convergence in the evolution process. The proposed algorithm has better performance and better search results in the same situation of train and line.

    References | Related Articles | Metrics
    Multi-sector Traffic Congestion Identification Method Based on FCM-rough Sets
    LI Gui-yi, HU Ming-hua, ZHENG Zhe
    2017, 17(6): 141-146. 
    Abstract ( )   PDF (1637KB) ( )  

    Based on the temporal and spatial characteristics of traffic congestion in ATM sector, a multisector traffic congestion identification model is established with the radar trajectory data. We establish four multi- sector congestion indicators which are the equivalent traffic volume, the degree of proximity, the saturation degree and the traffic density. The sector congestion level is classified and identified with fuzzy clustering algorithm (FCM) and rough set theory, and verified with the observed data from area control sectors of Central South Air Traffic Control Bureau. The result shows that the sector congestion level is affected by the macro and micro characteristics of the sector, and congestion identification model is feasible and efficient. The method of multi-sector traffic congestion identification model has certain application value in airspace planning, ATC assistant decision and air traffic flow management.

    References | Related Articles | Metrics
    Ship Abnormal Behavior Detection Based on Naive Bayes
    WEI Zhao-kun, XIE Xin-lian, PANWei, ZHAO Rui-jia
    2017, 17(6): 147-154. 
    Abstract ( )   PDF (2190KB) ( )  

    With maritime accidents and violating law increasing, intelligent surveillance as a kind of significant measure can be applied to decrease or avoid maritime accidents and violations. Meanwhile, Automatic Identification System (AIS) is widely used and Vessel Traffic Service (VTS) is being improved, which is beneficial to supply effective data for intelligent surveillance. On the bases of that, AIS data is used to analyze ship information on the sea area. According to probability distribution of ship information, Naive Bayes (NB) algorithm is applied to build abnormal detection model to monitor dynamic information such as speed, course and the distance between vessel position and limit of fairway. At last, data from Chengshan Jiao sea area is used to validate the validity of the algorithm. It is indicated from experimental results that the proposed method can effectively recognize ship abnormal behavior, which is conductive to decreasing workload. Moreover, the traffic characteristics in Chenshan Jiao sea area are analyzed and reasonable suggestions are proposed.

    References | Related Articles | Metrics
    A Review on Operational Technologies of Urban Rail Transit Networks
    MAO Bao-hua, ZHANG Zheng, CHEN Zhi-jie, JIAWen-zheng, HO Tin-kin
    2017, 17(6): 155-163. 
    Abstract ( )   PDF (2077KB) ( )  

    This paper gives the definition of urban rail network operation, and analyzes its physical environment and also characteristics of passenger flows. Three symbols have been marked as the common welfare of urban rail transit. By reviewing the theory and practice of network operations around the world, it advances the targets of train operations under rail network environment. With the environment, three problems such as sectional loadings, station loadings and interchange design are faced by working out train schemes. Based on the existing network operational technologies including multiple turn- backs, variable train lengths, skip- top operation and train over- tracking, it analyzes the characteristics of the technologies and their impact on passenger journeys, and advances the applicability of the technologies respect to practical network conditions. Finally, it elaborates the possible impacts of the application of the technologies on passengers and operators while their implementation in practice, points out the suggestions for prompting the application of urban rail network operational technologies in China cities.

    References | Related Articles | Metrics
    Train Operation Adjustment Strategies in Metro Based on Transfer Capacity Coordination
    XU Rui-hua, LIU Feng-bo, FANWei
    2017, 17(6): 164-170. 
    Abstract ( )   PDF (2383KB) ( )  

    In order to cope with the delay effect under the condition of urban rail transit network, the train adjustment strategies based on inter-line transfer capacity coordination is put forward. Through the analysis of the multi-source operation data of the Shanghai metro system, the influence laws of the train delay, on the relationship between trains of adjacent lines and the passenger flow composition of the transfer station, are obtained. And the linkage adjustment strategy and the diversion adjustment strategy are proposed. Based on the connection relation of adjacent lines, considering the passenger demand and the station capacity constraints, the algorithm of solving the transfer capacity coordination scheme is given, and the application of the strategies are analyzed. The numerical results show that the inter- line coordination adjustment strategies can effectively reduce the impact of delay, which is superior to the traditional single-line adjustment methods and can provide a solution for the delay management of networked operation conditions.

    References | Related Articles | Metrics
    Congestion-based Timetable Synchronization Optimization Model in Urban Subway Network
    ZHU Yu-ting, GUO Ji-fu, YU Liu, XU Long, LIU Yu-huan
    2017, 17(6): 171-177. 
    Abstract ( )   PDF (1490KB) ( )  

    Aimed at a typical unconnected urban rail network, calculation methods of passenger cost and operating cost in a cycle period are presented based on the periodicity service characteristics of the network and the deep consideration of congestion and transfer passengers' impulsive arrival characteristic. Then, a timetable design model for urban rail network is proposed to minimize of the system comprehensive cost of both passengers and operators. This model aims to determine the headways of each line and the offset times between different lines under the constraints of safety headway, train and platform capacities, and operating subsidy. To solve the problem, a simulation-based genetic algorithm is introduced based on the characteristics of the proposed model. Results show that the proposed model can describe passengers’ transfer process more accurately and reduce system comprehensive cost more effectively than the existing optimal methods. And the service indicators obtained by the proposed model are all kept in the range of security.

    References | Related Articles | Metrics
    Train Planning for Through Operation between Subway and Suburban Railway
    LI Ming-gao, LIU Jian-feng, LIU Xin-hua,WANG Jing, LI Jin-hai
    2017, 17(6): 178-184. 
    Abstract ( )   PDF (1469KB) ( )  

    Based on the operation features of the through operation between subway and suburban railway, a train planning model is built under through operation, which is a multi-objective programming model with maximizing the passenger's total saving time and minimizing the operator's total operating cost. A fuzzy mathematical programming approach is presented to solve the model. Then, a case study is conducted to demonstrate the effectiveness of the model. Furthermore, sensitivity analysis is made to show the influence of the related factors such as the passenger demand, transfer time. The results show that it is timesaver and payoff under through operation. What is more, it is more significant to adopt through operation when the through passengers are larger, the transfer time is longer, the through cost is lower, the train planning of through trains are more reasonable.

    References | Related Articles | Metrics
    Optimization for Train Plan of Full-length and Short-turn Routing Considering the Equilibrium of Load Factor
    XU De-jie 1, ZENG Jun-wei 1, MACun-rui 2, CHEN Shao-kuan 2
    2017, 17(6): 185-192. 
    Abstract ( )   PDF (1651KB) ( )  

    Working out the multi-routing train plans for operational theories of urban rail transit networks is an important subject. According to characteristics of full- length and short- turn routing, a bi- level programming model for train plan is presented. The upper- level model, in which the passengers’choice preference are fully considered, is aimed to minimize the passengers’waiting time, running kilometers and operation time of trains, and the decision variables are positions of turn- back stations, frequencies and schedule mode; the lower- level model, whose decision variables are train formation plans (full- length and short- turn train) and departure interval, is aimed to maximize the equilibrium of load factor between fulllength and short- turn trains. The numerical example results indicate that the formation plan, i.e.,“the fulllength train takes more carriages, while the short-turn train takes fewer”, can improve the equilibrium of load factor between full- length and short- turn trains; when considering the equilibrium of load factor, the decreases of difference in average load factor are 21.5% in a.m. peak and 17.9% in p.m. peak; through adjusting the departure interval and reducing the number of short-turn train’s carriages can also advance the equilibrium effectively.

    References | Related Articles | Metrics
    Vehicle Purchase Strategy Considering Multi-group Train Operation for Urban Rail Transit
    RONG Ya-ping, QI Xiang-chun, LI Bo, LIU Min
    2017, 17(6): 193-199. 
    Abstract ( )   PDF (1564KB) ( )  

    Multi- group train operation is one important part of the urban rail transit network operation technologies. In order to strengthen the transport capacity under the condition of certain line capacity. An optimization modal for vehicle purchase strategy of urban rail transit based on multi- group train is established, which is aimed to minimize the generalized cost. The constraints are maximum purchase frequency, minimum purchase interval, and the maximum purchase number of vehicles. And a two- phase mathematical programming algorithm is also proposed. The results indicate that under the certain passenger demand and single train formation in the future, the scheme of multi-group train is adopted in the near future and single train formation is adopted in initial stage and in the future can reduce the travel cost of passengers and the cost of operation by 16.48% and 25.99%, although it increases the driver cost by 18.6%. This is better than single train formation adopted in initial stage, the near future and future.

    References | Related Articles | Metrics
    Carrying Capacity of Stations under Express/Local Operation of Urban Rail Transit
    ZHAO Xin-miao, XIANG Ai-bing, LIU Lu
    2017, 17(6): 200-206. 
    Abstract ( )   PDF (1455KB) ( )  

    Express/local operation is an important method for regional rail transit, so research on the effects of different modes of express/local operation on stations can provide instructions for operational enterprises. This paper studies the technical conditions for express/local operation of equilibrium departure without overtaking, non- equilibrium departure without overtaking, and non- equilibrium departure with overtaking, and analyzes the effects of different types of express/local operation on stations and the corresponding deduction coefficients. The results show that when the operation mode changes from equilibrium departure without overtaking to non- equilibrium departure without overtaking and non- equilibrium departure with overtaking, the maximum number of stations skipped by express trains decreases; when the three modes have the same number of stations skipped by express trains, the frequency of trains increases in order, and the deduction coefficient decreases in order, which means the effect of the mode on carrying capacity of stations decreases in order.

    References | Related Articles | Metrics
    Dispatching Model for Single-journey Ticket Cards in Urban Rail Transit Network
    YAO Xiang-ming, ZHAO Peng,WANG Qi
    2017, 17(6): 207-213. 
    Abstract ( )   PDF (1428KB) ( )  

    The dispatching of single-journey ticket cards is an important part of ticket organization in urban rail transit system. To address the ticket cards dispatching issue between network ticket center and line ticket center, a vehicle routing method under capacity constraint is used, which aims to minimize the delivery cost. The paths of each vehicle is applied as decision variables in the model, and a genetic algorithm is used to solve the model. The Beijing rail transit is taken to carry on the case study. Results show that: compared to the independent single-way delivery process, the cost reduced by about 49.6%; compared to the traditional vehicle routing method under the condition of delivery and pickup simultaneously, the cost reduced by about 18.7%, which verifies the accuracy and validity of the proposed model. The method can effectively solve the ticket dispatching problem in rail transit network and provide theoretical and method support for ticketing organizations.

    References | Related Articles | Metrics
    Optimization of Train Plan by Considering Conveying Capacity Utilization in Urban Rail Transit
    SHI Rui-jia, ZHENG Meng, YAO Zhi-sheng, LAN Ya-jing
    2017, 17(6): 214-220. 
    Abstract ( )   PDF (1469KB) ( )  

    By considering the disparity of line conveying capacity utilization in space, the optimization model of train plan is established. The optimizing goals are the line conveying capacity utilization maximization, the used train number and passenger travel cost minimization. The decision variables are the routing plan, the formation plan and service frequency. The algorithm combined with linear weighting method and genetic algorithm is designed. The applicability of the single routing, nested routing and joint routing is analyzed under different demand situations. The result indicates that taking line conveying capacity utilization maximization as one optimizing goal can effectively improve the line conveying capacity utilization and spatial equilibrium. Multi-routing mode is suitable for one line of unimodal section passenger flow. Maintain the maximum passenger flow section position and value unchanged, and if the passenger demand in the unimodal sections is more than 30%, multi- routing modes are more suitable than single routing mode.

    References | Related Articles | Metrics
    Plan of Cross-line Train in Urban Rail Transit Based on the Capacity Influence
    YANG An-an,WANG Bo, CHEN Yan-yan, HUANG Jian-lin, XIONG Jie
    2017, 17(6): 221-227. 
    Abstract ( )   PDF (1514KB) ( )  

    Cross- line operation for an urban rail transit system can reduce passenger transfer time and increase the utilization of resources. In this paper, a capacity allocation model is formulated with the objective of minimizing the costs of use of rolling stock, train operating costs and passenger travel costs. The model takes into account the impact of cross-line trains on carrying capacity of rail lines and is constrained by departure interval, full-load rate and number of available rolling stock. Combining with a case study, we further put forward the necessary conditions to successfully deploy cross-line operations. The research results indicate that to deploy the cross- line operation requires redundant capacity and the successful outcome largely depends on a number of factors such as the passenger flow intensity for transfer, the transfer condition and the train schedule, etc. Although it is easy to achieve cross- line operation for one- platform interchange stations, its effect does not improve significantly in rush hour due to limitation of carrying capacity and corresponding transfer time. Compared with the plan of single-line independent operation, crossline operation can reduce the operating costs and passenger travel costs. Furthermore, the advantages becomes more obvious with the increase of the cross-line passenger flow intensity.

    References | Related Articles | Metrics
    Last Train Timetable Synchronization Optimization on Urban Rail Networks with Dwell Time Extension
    CHEN Yao, BAI Yun, FENG Xu-jie, LI Zhu-jun
    2017, 17(6): 228-234. 
    Abstract ( )   PDF (1439KB) ( )  

    On urban rail transit networks, smooth transfer connections between last trains contribute to successful trip of passengers. This paper constructs a last-train timetable synchronization model by reducing the inter- station running times and the dwell times at ordinary stations and extending the dwell times at transfer stations. The model objective is to maximize the number of passengers who transfer successfully from last trains. The model is characterized by a mixed integer linear model, and it is solved by branch and cut algorithm of CPLEX after model simplification. Lastly, Wuhan metro network is applied to evaluate the proposed model. The results indicate that the exact solution of the model can be obtained by CPLEX efficiently. The proposed model can improve successful transfer connections significantly by increase the dwell times at transfer stations. Besides, the later closure time of last service contributes to more successful transfer connections.

    References | Related Articles | Metrics
    Choice Behavior of Passenger Transfer Route for Urban Rail Transit Network
    CHEN Jian,WANG Man, LI He-ping,DUAN Li-wei
    2017, 17(6): 235-241. 
    Abstract ( )   PDF (1419KB) ( )  

    In order to quantitatively analyze the transfer route selection behavior of passengers in the rail transit system, based of combing the direct and indirect factors of passenger transfer route selection, the overhead coefficient is quoted to describe the additional value added to the passenger's psychological experience due to overcrowding of trains. This paper presents a passenger transfer time function with penalty coefficient, and constructs a route selection behavior model with the solving algorithm, which taking the travel time and transfer time as the generalized cost based on the psychological perception of passengers. Finally, the model is applied to the case analysis of Chongqing rail transit network. The results show that the passengers tended to choose the route 3 with fewer transfers, which is 1.44% higher than the traditional model selection probability, and the effect of transfer penalty coefficient on the route selection result is higher than run-time overhead coefficient.

    References | Related Articles | Metrics
    Complex Network Study on Urban Rail Transit Systems
    FENG Jia, XU Qi, LI Xia-miao, YANG Yuan-zhou
    2017, 17(6): 242-247. 
    Abstract ( )   PDF (1529KB) ( )  

    The rail transit systems have been paid much attention. The studies of rail transit systems based on complex network theory are extending from single static topology structure to multilayer network dynamic distribution characteristics. Based on the presentation and performance indicators, we conclude the important characteristics of topological structure and traffic flows. The important topological patterns present as small world, hierarchy and the power- law distribution of distance between stations. The traffic flow emerge power- law behavior quantity distribution and spatial- temporal cluster. The multilayer network models show that the load fit a power-law distribution.

    References | Related Articles | Metrics