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    25 April 2017, Volume 17 Issue 2 Previous Issue    Next Issue

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    Traffic Development and Synthesizing Management of Megalopolis Transportation
    PENG Hong-qin,ZHANG Guo-wu
    2017, 17(2): 1-6. 
    Abstract ( )   PDF (1168KB) ( )  

    It is a hot and difficult problem in urban traffic research that traffic congestion, parking disorder and traffic emission pollution. Urban traffic running state analysis system based on big data provides powerful support for screening of congestion point, analyzing of causes for congestion, forecasting and management of traffic congestion, and analyzing of policy effect. The perfect parking law cansolve the parking problem, such as strict enforcement of parking law, standard parking management, improving the efficiency of parking facilities, comprehensive management of parking violations. On the base of OBD energy measuring instruments and traffic big data platform, it deeply analyzes the formation mechanism of vehicle emission pollution, researches core technology such as energy- aware, quality control of energy measurement data, modeling energy consumption, etc., establishes statistical platform for traffic energysaving and emission- reduction, and proves the accuracy of traffic energy consumption data. Those can provide decision support for government departments.

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    Travelers' Choice Behavior of Car Sharing Based on Hybrid Choice Model
    JU Peng, ZHOU Jing, XU Hong-li, ZHANG Jun-ting
    2017, 17(2): 7-13. 
    Abstract ( )   PDF (1230KB) ( )  

    In order to analyze travelers' choice behavior of car sharing, this paper constructs a hybrid choice model for the choice behavior of car sharing, according to the expanded theory of planned behavior and technology acceptance model with variety of psychological factors which respect to the choice behavior of car sharing. Based on the empirical survey data of Nanjing in China, the integrated hybrid choice model is utilized to estimate these relationships. The results show that the psychological latent variables have significant positive impact on the choice behavior of car sharing, such as perceived usefulness, perceived ease of use, attitude and perception behavioral control. The outcome of estimation of HCM has a higher degree of fitting than the traditional MNL without latent variables.

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    Travel Mode Choice Behavior of Private Car Owners in Commuters’Closed Trip-chain Based on the Game Theory
    ZHANG Si-jia,JIA Shun-ping,MACun-rui,LI Jun
    2017, 17(2): 14-20. 
    Abstract ( )   PDF (1402KB) ( )  

    Analyzing the mechanism of travel mode choice of commuters, a new model to study the travel mode choice behavior based on the demand of closed trip chain is carried out. In this model, the influence factors of commuters’perceptions of go and return trips are considered. Meanwhile, three different situations of the return trips are simulated and the effects of activities in the return trips on travel mode choice behavior of private car owners in commuters’closed trip-chain are researched, and then the results of the decisions considering the return trips are compared with the results of single trip. The probabilities of the travel mode choice are gotten through the evolutionary game theory. Finally, it made an empirical analysis based on the typical OD of commuters in Beijing. The results show that if only half of the closed trip chain is considered, the car becomes the best choice and it has great advantage, and if the whole closed trip chain is considered, the results are different under different situations and the car may not be the best choice, and the advantages of the customized shuttle buses cannot be overlooked.

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    Evaluation on Integrated Transportation Capacity and Coordination in the Urban Agglomeration
    FU Cheng-hong
    2017, 17(2): 21-27. 
    Abstract ( )   PDF (1793KB) ( )  

    Urban agglomeration (UA) is a global trend of the regional economic developing, and the integrated transportation (IT) system is a vital supporting fundament for UA. Two structure models of capacity and coordination in the IT system are composed firstly, and the data envelopment analysis (DEA) is selected as an evaluating method. The solving path of DEA model with non- Archimedes infinitesimal parameter is discussed. Then, the DEA method is used to define the capacity of infrastructure, or economic development and potential demand, as well as the validity of coordination, validity of development, and comprehensive validity in IT system. Considering the similarities and differences among various inputoutput mechanisms, and using the advantage of nondimensionalized-data processing in DEA, some indexes, great distinct with those of general, are selected. Finally, the calculated results from the IT system of Haixi UA show that reflected changes from the example are consistent with the real situation. It proves the models and indexes are powerful.

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    Passenger Market Segmentation of High-speed Railway Based on Latent Class Model
    QIAO Ke, ZHAO Peng, WEN Jia-xing
    2017, 17(2): 28-34. 
    Abstract ( )   PDF (1513KB) ( )  

    Passenger market segmentation is an important part of the application of the revenue management theory for high-speed railway. Based on the ticket data of Beijing-Shanghai high-speed railway, the latent class model is used for passenger market segmentation taking age, sex, travel date, travel distance, mean to get ticket and pre- purchase time as classification indicators. Firstly, the model is set up after manifest variables probability becoming parameters and solved by Mplus software, the model fitting indicators such as AIC and BIC show that three potential categories are better. Then all data are clustered according to the parameter estimation results, the classification accuracy can reach about 93%, showing that segmentation result is suitable, three categories of passengers have significant differences in terms of prepurchase time, travel distance and so on. The latent class model can provide a reference for theoretical research and practical application of high-speed railway revenue management in China.

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    Impact of Transfer Efficiency on the Market Share of Urban Rail Transit
    ZHU Yu-ting, RONG Ya-ping, ZHAO Xin-miao
    2017, 17(2): 35-40. 
    Abstract ( )   PDF (1747KB) ( )  

    To evaluate the impact of transfer efficiency on the market share of urban rail transit, perceived transfer time is proposed and obtained from objective transfer time by introducing parameters of crowding, environment, and transfer times. Based on the perceived transfer time, a market share model of urban rail transit is established. After estimating the model with the survey data in The Fourth Beijing Traffic Survey Report, changes of the market share of urban rail transit in different riding distance are discussed with the improving of transfer efficiency. Results show that factors, including transfer times, transfer walking time, transfer waiting time, and transfer environment, have a positive effect on improving the market share of urban rail transit, especially in the short-haul passenger market. While factors, which can reflect crowding, are mainly considered by passengers with middle- and- long distance travel. When the capacity of transfer channel or platform is very small, the perceived cost of crowding will increase quickly, and the market share of urban rail transit will reduce sharply.

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    Car-following Model Based on the Modified Optimal Velocity Function
    YANG Long-hai,ZHAO Shun,XU Hong
    2017, 17(2): 41-46. 
    Abstract ( )   PDF (1620KB) ( )  

    To research the numerical relationship between headway and speed, field data of car-following is gathered by vehicles equipped with high precision GPS, and a Modified Optimal Velocity model (M-OVM for short) is built based on the field data. The original OVM and the M-OVM are calibrated and extended to the macroscopic parameters, the result shows that the M- OVM can describe the relationship of traffic parameters with a higher accuracy. Furthermore, simulations are conducted to analyze the characteristics of the car-following model with the M-OVM, the result shows that the M-OVM can improve the stability of the car-following model.

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    Freeway Network Optimal Control during Emergency Evacuation with Buffering of Ground Bypass
    HE Sheng-xue
    2017, 17(2): 47-53. 
    Abstract ( )   PDF (1788KB) ( )  

    In view of the sharply increased demand during emergency evacuation, we propose using the ground bypass to buffer partial evacuating vehicles so as to lower the whole temporal and spatial risk of freeway evacuation system. Evacuating traffic evolution equations are constructed based on the macroscopic traffic flow model. In the equations, the impact of speeds of vehicles at on-ramps on the mainline traffic is clarified. This realizes the consistency of network state evolution in the macroscopic traffic flow model. In view of the dichotomy of travel time of the ground bypass consisted of an off-ramp, the parallel street road and an on- ramp, the discrete traffic flow evolution equations are constructed for the ground bypass. The above system equations can not only describe the main features of the traffic flow on the ground bypass, but also be seamlessly incorporated in the freeway state evolution system. The numerical analysis demonstrates that using the ramp metering and flow splitting to ground bypass, we can realize the minimization of the evacuation risk of the whole system.

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    A Transit Signal Priority Optimizing Model Based on Reliability
    QIAOWen-xin,WANG Ding
    2017, 17(2): 54-59. 
    Abstract ( )   PDF (1332KB) ( )  

    Transit signal priority (TSP) is widely used to improve the traffic capacity and service level. However, TSP strategy often destroys the reliability of road network, thus unreliability at signalized intersection is an important problem need to be addressed in TSP strategy. This paper proposes a TSP optimization model at signalized intersection. The objective function is minimizing average person delay and phase clearance reliability is taken as an important constraint in the model. This optimization model can reduce average person delay while ensuring the reliability at signalized intersection. The sensitivity analysis in case study shows that increasing the reliability requirement will cause the delay time to increase nonlinearly, meanwhile, reducing only the person delay may cause lower reliability level. Thus, it is necessary to consider both of delay and reliability in the signal optimizing model. By comparing the experimental results obtained by the conventional approach and optimizing model based on reliability, this paper proves the efficient performance of the proposed model.

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    Signal Timing Estimation Using Mobile Navigation Data
    TAN Ji-yuan, YIN Kai-li, LI Meng,GUOWei-wei,WANG Li,HUANG Yi-bin
    2017, 17(2): 60-67. 
    Abstract ( )   PDF (1633KB) ( )  

    When manage and value the traffic network, signal parameters is important to monitor and evaluation the operating state and the junction intersection traffic capacity. However, a wide range of realtime signal timing scheme for a lack of clear and effective way. In this paper, we propose two methods based mobile navigation data to calculate the signal parameters. The first method is to establish the relationship between red and delay without considering the differences of the drivers’behavior, then calculate the red parameters. The another method is based the time when vehicle passing the stop line, then combined with the rising gradient method we proposed in this paper, obtain the min red of a stage. Through the actual case to calculate the red parameters, then compared to the known signal parameters. The result demonstrates the method we proposed in this paper has high accuracy, and provides the data support for the research of the traffic management.

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    A Coordinated Optimization Strategy of Variable Speed Limit and Ramp Metering for Expressway
    ZHOU Hao,HU Jian-ming,ZHANG Yi,SUN Rui
    2017, 17(2): 68-75. 
    Abstract ( )   PDF (1870KB) ( )  

    Variable speed limit and ramp metering are the main methods of expressway traffic control. This paper investigates a coordinated optimization strategy of the two approaches. Taking advantage of Intelligent Vehicle Infrastructure Cooperative Systems in information acquisition, the traditional METANET model is reformed by introducing microcosmic traffic flow data. A microcosmic METANET model influenced by variable speed limit is established, based on which a new variable speed limit strategy is proposed. Meanwhile, the ALINEA algorithm is introduced for on- ramp traffic control. Thus, a coordinated optimization strategy of variable speed limit and ramp metering for expressway is realized. To verify the validity of microcosmic METANET model and the coordinated optimization strategy, a simulation platform is established based on actual expressway and traffic flow data. The results show that the microcosmic METANET model works well in traffic flow data prediction and the strategy performs well in improving traffic flow status.

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    General Algebraic Algorithm for Arterial Coordination Control Based on Maximum Bidirectional Progression Bandwidth
    JING Bin-bin, YAN Xiao-wen, WU Huan, XU Jian-min
    2017, 17(2): 76-82. 
    Abstract ( )   PDF (1443KB) ( )  

    To address the limitation of current algebraic algorithm with assumed fixed values of designed speed for green wave, a general algebraic algorithm for maximizing bidirectional progression bandwidths is proposed. First of all, the value range of adjacent ideal interval is determined. Secondly, formulas for calculating the outbound offset green ratio and inbound one are deduced. Further, formulas for calculating the green ratio above and below the ideal central line of the green time are proposed. Finally, the optimized model of maximum progression bandwidth is established with the maximum sum of the bidirectional progression bandwidths being the optimization objective and the outbound and inbound designed speed and signal cycle being the optimization variables. The general algebraic algorithm proposed in this paper is verified with examples. Analysis result shows that the general algebraic algorithm could break through the limitation of fixed values of designed speed for green wave and obtain ideal effect of green wave coordination in an easier manner, displaying decent generality and practicality.

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    Optimal Control of Multiple AGV Path Conflict in Automated Terminals
    ZHANG Su-yun, YANG Yong-sheng, LIANG Cheng-ji, XU Bo-wei, LI Jun-jun
    2017, 17(2): 83-89. 
    Abstract ( )   PDF (1556KB) ( )  

    To solve the path conflicts for an Automatic Guided Vehicle (AGV) that may occur in the horizontal transportation of automated container terminal, a control strategy is proposed with multiparameter include path capacity, safety distance, travel time and vehicle speed. Dijkstra algorithm is used to plan path. A bit vector intersection algorithm is used to detect collisions. The improved speed control strategy is proposed to solve the path conflicts by controlling the traveling speed of the AGV at the conflict nodes. By simulating and analyzing the AGV network of Yangshan fourth automated container terminal, compare the traditional stop waiting strategy, the speed control strategy and the improved speed control strategy. The results verify the feasibility and effectiveness of the improved speed control strategy in conflict solving.

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    A Cellular Automaton Model of Urban Road Network Considering Bidirectional Traffic
    SHI Jun-qing,LI Zhi-qiang,LI Su-lan,MAO Cheng-yuan,ZHANG Xin-huan
    2017, 17(2): 90-96. 
    Abstract ( )   PDF (1679KB) ( )  

    The bidirectional traffic road that allows the vehicle to overtake through the reverse lane is an important part of urban road networks. In this paper,a cellular automaton model of urban road network considering driving rules of bidirectional traffic road and the dispatching rule of priority in the four-way stop control intersection is proposed to simulate traffic dynamics in urban road networks. Simulation results show that the critical density decreases as network scale increases,and the increase of network traffic density will accelerate the formation of the local deadlock. We also found that the increase of lane changing probability will lead to the decrease of the network speed and time of the local deadlock formation. There is a close relationship between the lane changing number of vehicles per unit time and the lane changing probability and network traffic density.

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    Platoon Dispersion Model Based on Mixed Gaussian Distribution of Travel Time
    YAO Zhi-hong, JIANG Yang-sheng, ZHAO Bin, ZHU Juan-xiu, LUO Xiao-ling
    2017, 17(2): 97-104. 
    Abstract ( )   PDF (1839KB) ( )  

    To describe the law of platoon dispersion under the condition of heterogeneous traffic flow adequately, and provide theoretical support for signal timing optimization and bus priority control. The characteristic of vehicle’s travel time distribution in heterogeneous traffic flow is considered. The mixed Gaussian distribution is used to fit vehicle’s travel time distribution. Based on this, the platoon dispersion model in heterogeneous traffic flow is proposed from the perspective of 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 27%, compared with Robertson model.

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    Capacity Analysis and Model Development of the Multilane Freeway
    WEI Xue-yan,XU Cheng-cheng,WANGWei,LI Ye,XIANG Yun
    2017, 17(2): 105-111. 
    Abstract ( )   PDF (1953KB) ( )  

    The demand of passenger and freight traffic has greatly increased in line with the rapid development of the economy and urban construction. Accordingly, a trend of broadening freeways from four or six lanes to multilane ones with eight, ten or even more lanes is increasingly obvious to balance the traffic supply with the traffic demand. However, studies are insufficient on capacity of multilane freeways in China at present. Therefore, computational models are proposed for capacity of multilane freeway in three cross section layout and organizational modes, which are integral, passenger-freight separated and‘long-distance artery & collecting and distributing road’mode, respectively, according to particularly studied on the influence factors of capacity of multilane freeways. Calibration of related parameters in those models took place subsequently on the basis of different speed-flow curves which are obtained from simulations of traffic operation conducted by VISSIM simulation platform. When it comes to the modes selection of new building or reconstruction and extension of multilane freeways, the methods and results of this paper are suitable for being regarded as the references in capacity view.

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    Day-to-day Traffic Evolution Model under Incident
    CHEN Ling-juan,WANG Dian-hai
    2017, 17(2): 112-118. 
    Abstract ( )   PDF (2149KB) ( )  

    In order to study the temporal and spatial evolution law of day-to-day network flow under shorttime disturbance, network perspective travel time is computed according to past travel experience. With the pursuit goal of maximizing the punctual probability and path prospect, a model is established to adjust schemed departure time and route. On departure day, network travel time is updated again according to the real-time information of each period before departure, and actual departure time and route are readjusted to obtain the actual travel choice. So a model of considering real-time information on departure day is established to describe daily evolution of road network traffic. Finally, a numerical example to verify the model and algorithm, the results show that: in case of no accident, considering adjustment on departure day, flow distribution has smaller amplitude but longer time for stability; in case of accident occurring before stability, the stable flow distribution will be affected, but occurring after stability, the result is opposed; accident will increase flow shock when consider re-adjustment.

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    Real-time and Online Traffic Flow Prediction Based on Optima Method
    LI Ying-hong, PAN Jia-qi
    2017, 17(2): 119-125. 
    Abstract ( )   PDF (1609KB) ( )  

    Urban road traffic flow forecast is mainly based on physical modeling, statistics features and fusion part of intelligent prediction algorithm to achieve. Important factors that influence results such as the FIFO principle, traffic signal control are always neglected due to inability to introduce and describe. This paper proposes a real- time and online traffic flow forecast method based on Optima. Through the establishment of network models, demand models and initial OD matrix gets real-time road network conditions. And by building a database model of real-time network information, traffic signal control match the information effectively. According to TRE algorithm predicting road accumulated flow, completing the real-time and online traffic flow forecast combined with the model assignment value and historical data. Taking Wangjing district in Beijing as a simulating example. Through error analysis, we obtain ideal results, and verify the effectiveness of the proposed method.

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    Inferring the Travel States of Bus Rapid Transit between Neighboring Stations within a Bayesian Framework
    HU Ji-hua, LIANG Jia-xian
    2017, 17(2): 126-135. 
    Abstract ( )   PDF (1823KB) ( )  

    Travel speed is a fundamental measure of operation service and passenger experience for bus rapid transit (BRT). The distributions of travel speed of BRT show multimodal shapes, because of the influence of the traffic lights, the pedestrian, etc. Traditional mathematical models with simple distribution lack the ability to explain these factors that lead to different speed distribution curves. A Gaussian mixture model based on the multimodal travel speed data is constructed under a Bayesian framework in this paper. A reversible-jump Markov chain Monte Carlo approach (RJMCMC) is used to infer the detailed travel states information of BRT, including the number of travel states and the weight, speed and variation for each travel state. A case study was presented in Guangzhou, China. The results show the distributions of the multimodal travel speed are well fit with the model and the travel states are divided properly. New travel state is easily derived during morning or evening peak, and the corridor with the speed lower than 25 km/h had higher number of travel states and the states are easier to change in time of day. The study shows that the model could be used to analyze the distributed features and evolution rules of travel states and proves the availability of the proposed model

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    Pedestrian Simulation Model Considering Groups Dynamic Pattern with Communication
    HE Min, HAN Zhi-quan, YU Hai-ning, FAN Dong
    2017, 17(2): 136-141. 
    Abstract ( )   PDF (1551KB) ( )  

    Walking together groups, such as family, friends, etc., often occupy a high proportion in pedestrian crowd. Group members tend to walk side by side or form a shallow V-shape pattern in order to communicate each other. Among previous studies, social force based group pedestrian simulation model described it best. However, our observation notices that when density of crowd or number of group members increases, the structure turns into a dynamic sub-group based multi-row pattern. This self-organized pattern emerges from the movements’combination of individual group members, who seek for a proper position to satisfy their communication need as well as to reduce the marching resistance from other pedestrian or surroundings. We introduce a dynamic sub-group forming model to reflect the decision making process of group members. Furthermore, simulation experiments are conducted to analyses how group behavior affect the crowd dynamics. The experimental results show that: this model can replicate the dynamic sub- group based multi-row pattern when the density of pedestrian is high or the group members is large; the existence of groups in crowd decreases the speed of pedestrian flow but the effect weakens with the increase of flow density; our model can improve the efficient of simulated pedestrian flow and make it closer to the actual crowd dynamics.

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    Pedestrian Choice Behavior Analysis of Standing Position in Subway Carriage
    SHI Rui-jia,MAO Bao-hua,DING Yong,LIU Lu
    2017, 17(2): 142-147. 
    Abstract ( )   PDF (1573KB) ( )  

    A questionnaire of pedestrian standing position choice behavior in subway carriage is designed and investigated, and the reliability and validity of the questionnaire is verified. Passengers’preference of standing position and the desire for seat are analyzed. The carriage is divided into six parts based on the two layouts in the carriage. A Baseline-Category Logit model is established by considering the trip distance of passengers and the standing density in the carriage. The estimates of the parameters are calculated by the survey data. The result shows that the proposed model can effectively reflect pedestrian choice behavior in subway carriage. In addition, the probability of choosing the front area near the door increases with the standing density in the carriage, but the seating area and the side area are opposite. The probability of choosing the seat area is more sensitive with the standing density in the carriage when passenger’s trip distance is longer.

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    Adaptability of the Removal Coefficient Method in Calculation Method of High-speed Railway’s Passing Capability
    ZHANG Shou-shuai, TIAN Chang-hai, YAN Hai-feng
    2017, 17(2): 148-153. 
    Abstract ( )   PDF (1174KB) ( )  

    Based on the problem of removal coefficient method in calculation method of high- speed railway’s passing capability, the adaptability is analyze. We study the differences between high- speed railway and existing lines, and identify the concept of high-speed railway’s passing capability. We research the thought essence and research on the adaptability based on the three basic assumptions. The development trends of the method are summarized and the essence of technology is refined as overlap relation of time occupied. An example shows the feasibility and effectiveness of the proposed method. We summarize three problems of technology essence with the characteristics of high-speed railway. The results indicate that the removal coefficient method cannot adapt with the calculation of high-speed railway’s passing capability, and a possible direction for future research is put forward.

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    Calculation Method of Train Path Efficiency Based on DEA-CCR Model
    JIANG Feng, ZHANG Zhi-hao, NI Shao-quan, LV Hong-xia
    2017, 17(2): 154-159. 
    Abstract ( )   PDF (1146KB) ( )  

    As the basic unit of train diagram, the train path efficiency is the key to evaluate the train diagram drawing quality. Define the train path efficiency as the weighted ratio of feedback technical indexes and transport resource indexes, and give the calculation method of train path efficiency elements, considering the relative feature, based on DEA-CCR model built a train path efficiency calculation model and solved. Chengsui railway Shibantan to Xinqiao sector block train diagram is used as a study case. The results show that the proposed method can get an objective value of train path efficiency, in the case, the EMU train paths have an average efficiency value of 0.961 1, higher than normal train with 0.909 5; the overall up direction train paths have an average efficiency value of 0.944 2, higher than down direction trains with 0.933 7, these indicate that the train path efficiency is affected by the drawing priority of train paths and adjustable degree from the departure station, the ways to improve the train path efficiency are given.

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    A Model and Algorithm for Optimization of the Utilization of Residential Shared Parking Slots
    YAO En-jian, ZHANG Zheng-chao, ZHANG Jia-lin, XUE Fei, LUO Ye-kun
    2017, 17(2): 160-167. 
    Abstract ( )   PDF (2272KB) ( )  

    In order to solve the parking problems in major cities, an innovative method based on shared parking theory is proposed which aims at making the fullest use of the private-owned and non-public parking slots to satisfy the increasing parking demand. Since the time available for parking is often consists of discrete fragments, exerting rigid time restraints for parking, efficient utilization of those parking slots resources is hard to achieve in practice. An optimization method, focused on higher parking slots occupancy rate, is designed to match the available time intervals parking slots supply and the parking demand from drivers, thus realizing the efficient utilization of the shared parking slots. First, a model and formulation based on weighted vertex coloring problem with restrictions on colors is given which aims at making the fullest use of the parking slots; then a modified ACO (Ant Colony Optimization) algorithm is provided so as to solve the NP-C problem by specifying the strategies for route choosing and pheromone updating; finally experiments are conducted based on the features of the parking slots supply which make a comparison between the modified ACO algorithm and the FCFS (First Come First Serve) algorithm. The results of the experiments show the performance, characterized by the total amount of time allocated to the drivers, of modified ACO is 11.82% higher than the FCFS algorithm.

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    Model and Algorithm on the Layout Problem of Functional Areas in Irregular Logistics Parks
    SUN Liu-cheng, SUN Yan, ZHENGWen-jia
    2017, 17(2): 168-175. 
    Abstract ( )   PDF (1570KB) ( )  

    The reasonable layout of functional areas in logistics park is important to reduce logistics cost and improve the production efficiency. Traditional researches generally assumed that logistics parks were rectangular. Based on the raster data structure, a set partitioning model on the layout problem of functional areas in irregular logistics parks with minimum transportation cost as the objective function is established in the paper. Vectorization technology is introduced to extract the topological relationship from the raster layout diagrams so that road network information can be got. Then, a variable neighborhood search algorithm on the basis of the slicing tree structure is designed to solve the problem. Finally, taking a logistics park as an example, the layout diagrams are obtained and it verifies the feasibility of the model and algorithm by Matlab programming.

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    Day-to-day Road Network Vulnerability Identification Based on Network Efficiency
    ZHANG Xi
    2017, 17(2): 176-182. 
    Abstract ( )   PDF (1546KB) ( )  

    The unit vulnerability of road network system may not be fully distinguished by the classic static vulnerability identification in a day- to-day road network, and the conducting of incidents management planning and emergency material allocating is hindered. With the day-to-day road network as research object, a dynamic vulnerability index, which is a discrepancy ratio between the degraded road network efficiency and the origin road network efficiency, is defined based on network efficiency measure under single- linkclosed scenario. A single-link-closed day-to-day dynamic assignment model is proposed to depict the disequilibrium flow evolution of day-to-day road network, and a corresponding algorithm is given. The proposed index and model is applied on an example network to confirm the feasibility of day-to-day road network vulnerability identification. By comparing results of the dynamic network efficiency based vulnerability identification and the static one, it shows that the road network vulnerability identification rate based on dynamic network efficiency is higher than that based on static network efficiency.

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    A Vessel Schedule Recovery Model Considering Container Flow Recovery in Liner Shipping
    XING Jiang-bo, ZHONG Ming,WANG Tian-min
    2017, 17(2): 183-188. 
    Abstract ( )   PDF (1271KB) ( )  

    To reduce the adverse effect of disruption event brings to liner shipping service, this paper investigates the Vessel Schedule Recovery Problem (VSRP) in liner shipping. Four vessel schedule recover strategies are involved in this paper: speed adjustment, shorten port time, swap order of calls and omitting a port call. Consider the container flow recovery problem when the strategy omitting a port call is taken. A mixed integer nonlinear programming mathematical model is presented for the VSRP. The proposed model is solved by the software LINGO and genetic algorithm, respectively. The model and the solution approach are verified by investigating a real-life case from COSCO Container Lines. The result shows that the model and the solution approach are valid and effective which can supply scientific decision support of disruption management for liner companies.

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    Port Co-opetition Research in Bulk and Container Businesses
    GUO Li-bin, LI Jian, XINGWei
    2017, 17(2): 189-196. 
    Abstract ( )   PDF (1496KB) ( )  

    To study port competition and cooperation in bulk and container business, we discuss the port competition, the port cooperation of cost allocation and cost sharing business cooperation. Under Cournot game scheme, we discuss the congestion cost and receive quantities and profits. Our study shows that the port enterprise achieve higher throughput only competition without cooperation. Under the stable market demand the throughput increases and the price will decrease in accordance with a certain condition. Port quantity is higher in cost sharing than the cost allocation.

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    Collaborative Arrival and Departure Sequencing for Multi-airport Terminal Area
    ZHANG Jun-feng, GE Teng-teng, ZHENG Zhi-xiang
    2017, 17(2): 197-204. 
    Abstract ( )   PDF (1919KB) ( )  

    This paper investigates the collaborative arrival and departure sequencing problem for multiairport terminal area to alleviate the ever- increasing serious airspace congestion and flight delay. To begin with, the multi-airport terminal area is viewed as an entire system through in-depth analysis of the airspace structure and the characteristics of arrivals and departures. Then all kinds of constraints are taken into account, such as wake votex separation, transfer separation, release separation, and operational separation in different modes of multiple runway. Furthermore, "outside traffic flow" concept is proposed, based on which the collaborative arrival and departure sequencing model is constructed for multi- airport terminal area by minimizing the total delay. In addition, the improved simulated annealing algorithm is presented to find the optimum solution. Finally, Shanghai multi- airport terminal area is chosen to conduct the simulation. The simulation results indicate that the proposed method in this paper is able to reduce the total delay by 37.85 % in comparison to first-come-first-served (FCFS) strategy. The conclusion could be drawn that the proposed method is able to effectively improve the operation efficiency of arrivals and departures in multi- airport terminal area.

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    Free Flight Conflict Risk Based on Expanded Moore Neighborhood
    WANG Tao-bo,WANG Chao,TIAN Meng
    2017, 17(2): 205-211. 
    Abstract ( )   PDF (1506KB) ( )  

    In order to judging the free flight conflict risk in three dimensional, an expanded Moore neighborhood method is introduced. First, the features of discrete Moore neighborhood in two dimensions are analyzed and it is expanded to three dimensions. Tables of probability of horizontal and vertical conflict risk are established, which could calculate the three- dimension risk. At last, the same simulation data is calculated by two methods, which include horizontal and vertical conflict risk separately and simultaneously. The simulation results illustrate the expanded Moore neighborhood method could judge the free flight conflict risk rapidly, especially conflict risk is calculated horizontal and vertical simultaneously. Meanwhile, the size of basis units impacts operation efficiency.

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    Quantitative Evaluation and Empirical Study on Urban Collector Road Functional Reliability
    YAN Ya-dan, TONG Pei, LI Hui,WANG Dong-wei
    2017, 17(2): 212-218. 
    Abstract ( )   PDF (1366KB) ( )  

    According to function description of collector road in“Code for Design of Urban Road Engineering”(CJJ37—2012),“traffic flow of branch road is collected into arterial road through the collector road”and“traffic flow from arterial road is dispersed into branch road through the collector road”are taken as study objects. Definition of collecting and distributing functional reliability of urban collector roads is put forward. As the quantitative evaluation index of collector road function realization, its corresponding mathematical model is established. Then, two collector roads in Zhengzhou city are taken as numerical examples. Based on traffic delay data, signal timing and traffic volume, irrelevance of“two different intersections’left- turn delays”is testified. Furthermore, reliability values of“collecting function”and “distributing function”are respectively calculated. Through comparing with the actual traffic operating status, feasibility and applicability of the proposed method are proved.

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    Curve Alignment Design Research Based on Pedestrian Self-adaptation Behavior
    SUN Li-shan, CUI Li, GONG Qing-sheng, CHEN Yan-yan
    2017, 17(2): 219-226. 
    Abstract ( )   PDF (2141KB) ( )  

    To address the issues about the detailed and humanization alignment design of curve in rail transit, this paper quantitatively analyzes the indexes of pedestrian self- adaptation characteristics and the computation theory, collects empirical data through controlled pedestrian experiment, and validates the empirical data with fundamental diagram theory. Based on this, the pedestrian self-adaptation characteristics research in curve is performed, and the impacts of curve design on pedestrian self-adaptation characteristics are analyzed. The results reveal that: the stability and safety of pedestrian self- adaptation characteristics would be improved with the increasing of curve angle; the critical point of curve radius is 7 m, i.e., the stability of pedestrian self-adaptation characteristics will be improved until the curve radius increase to 7 m, while declined since the radius continuously ascended; the performance and efficiency of pedestrian selfadaptation characteristics is the best with angle in [120° ,160° ] or radius in [4, 10]m, worse with angle in [100°,110°] and equal to 170° or radius in [11,15]m, while the worst stability and safety with 90°-angle or 1 m-radius. Thus, the angle of curve in the [120°, 160°] and radius in [4, 10]m are recommended when the passenger flows are large.

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    The Evaluation and Optimization of Post-earthquake Emergency Rescue Road Network in Shanghai Historic Area
    LI Jian,ZHOU Yi,LIUWei
    2017, 17(2): 227-233. 
    Abstract ( )   PDF (1853KB) ( )  

    With the rapid development of urbanization in China, natural disasters cause severe problems and challenge the public safety, especially the earthquake.The transportation system is one of the urban lifelines, and the research for its connectivity reliability of post-earthquake emergency resue road network is necessary. In the urban historic district, due to the poor seismic performance of old buildings, mostly bungalows, and limited road spaces, the connectivity reliability of post- earthquake road network is an significant issue. This study investigates the post- earthquake road network connectivity reliability in Shanghai historic area around Yu Garden. The predictive model of debris obstruction of collapsed buildings is used to calculate the link connectivity probability; the Monte Carlo simulation method is employed to calculate the node and link connectivity reliability in the road network. Finally, we try to identify critical links and optimize emergency medical resue path.

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    International Comparative Analysis on Network Structure of Road LTL Industry
    YU Xing-yuan, RONG Chao-he, HANG Gai-ping
    2017, 17(2): 234-239. 
    Abstract ( )   PDF (1458KB) ( )  

    Road Less than Truck Load (LTL) industry is a typical network industry, networked transport organization is the key to enhance the transport efficiency, and a variety of internal and external factors are closely related to the network structure of road LTL industry. This paper uses the Product- Resources- Network (PRN) transport economics analytic framework, comparative analyzes the road LTL industry network structure of China, the United States, the European, and discusses the differences of industrial structure, government regulation, business practices between the three countries, obtained the relevant conclusions. Through the research, we find that the network structure of the road LTL industry, be governed by the law of network economy, while be affected by many factors such as economic and industrial structure, government regulatory policies, business practices, so as to make variation of network and product pattern, resources structure. This research has theoretical and practical significance for the networked development of road LTL industry.

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    The Influence of Housing Mobility on the Daily Activity-travel Behavior of Urban Household
    HE Bao-hong, HE Yan, LIU Yang, LI Zhen-hui
    2017, 17(2): 240-246. 
    Abstract ( )   PDF (1462KB) ( )  

    Residence is the main starting point of family member taking daily activities, but housing mobility can lead family space to reconstruct in daily life, thus becoming the key factor to influence members’activities and travel modes. But now at research based on the perspective of family is still rare. Based on relocated families as the research object, this paper respectively analyses adjustment change from two aspects: individual and family’s daily travel behavior before and after moving, so as to reveal the interactive mode and its internal mechanism between family members based on the SEM. The result shows that effects of housing mobility to individual activity-travel behavior reflect on the adjustment of commuting patterns at first. Secondly, on the housework sharing, specifically, when parents are affected by the jobs housing mismatch, the interaction degree between parents is the strongest and it usually presents a replacement or mutual cooperation behaviors to finish housework. When only one party is conditioned by jobs-housing mismatch, there are significant differences between housework arrangements of man and that of woman. The man is easier to stop participating in housework with the influence of commuting. When parents are in a state of jobs- housing balance, the degree interaction between each other decreases significantly, taking interaction mode of company or joint to share the housework.

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