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25 October 2016, Volume 16 Issue 5 Previous Issue    Next Issue

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Multimodal Transport Service System of the Belt and Road ZHANG Guo-wu 2016, 16(5): 1-13.  Abstract ( )   PDF (1223KB) ( )   The 13th Five- Year period is the key period for to accelerate the integrated transportation industry transformation and upgrade, to promote modern logistics cost efficiency, to coordinated development of various transportation modes, to comprehensively improve the level of integrated transportation services. The Belt and Road Initiative to bring new opportunities for the development of multimodal transport, such as speeding up construction of grand logistical channel, continues to deepen railway freight reform and to intensive introduction of various supportive policies. It is become a focus of attention that how to active service and integration into the Belt and Road Initiative, to achieve the intensive transportation organization of integrated transportation channel and hub node, to enhance the level of multimodal transport services. The 44th conference of“Traffic and Transportation 7 + 1”sets its theme as “Multimodal Transport Service System of the Belt and Road”. On the base of the Belt and Road infrastructure connectivity, to carry out effective connection between China- Europe regular train and intermodal transportation system, to promote efficient conversion between different modes and different forms of transportation, to share the latest results and information of multimodal transport in the west mode logistics park, to discuss and solve the key problems in multimodal transport, and to enhance the level of multimodal transport services. Related Articles | Metrics

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Empirical Analysis of the Influencing Mechanism of Container Freight in the Case of Oligopoly ZHANG Yong-feng, ZHAO Gang, CHEN Ji-hong 2016, 16(5): 14-20.  Abstract ( )   PDF (1381KB) ( )   Sorting out the factors that affect freight trend, then building the theoretical framework based on data analysis, this paper selectively analyzes the relationship between certain kinds of core factors and container freight in order to explore the influencing mechanism of main factors on freight index in the case of oligopoly. Results show that no co- integration relationship exists between annual turnover rate of unit capacity and CCFI (China Container Freight Index). Moreover, there is no Granger relation among GDP, crude oil price and CCFI, while idle capacity is the Granger cause of CCFI fluctuation. Meanwhile, CCFI and idle capacity has their own strict self-correlation and overflow effect. References | Related Articles | Metrics

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Game Coordination Study of Jointing Operation and Maintenance for Metro Vehicle Equipment WANG Hong, LIU Zhi-long, DUWei-xin, JIANG Zu-hua 2016, 16(5): 21-26.  Abstract ( )   PDF (1354KB) ( )   The invisible competing interests usually contacts between different departments when decides maintenance plan of metro vehicle. In order to explore the effects of the invisible competition on the preventive maintenance plan, a periodic decline failure rate function model is established through imperfect maintenance strategy. Acting operation department and maintenance department as the players, different Stackelberg game models are established based on dynamic game theory, also backward induction is used to find the Nash equilibrium solution. Experimental results show that the game method is feasible and effective to obtain a reasonable maintenance plan and the preferential player has an advantage. Compared with the optimization method, the game method has the better dynamics flexibility and adaptability, also can solve the interest conflict between the players and provides important decision support for decision makers. References | Related Articles | Metrics

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The Pricing Method of Railway Express Freight in Multi Transportation Modes Environment ZHANG Xiao-qiang, LIU Dan,WANG Bin 2016, 16(5): 27-32.  Abstract ( )   PDF (1511KB) ( )   The main differences among the modes of transport are prices, safety, timeliness and convenience, etc. Those factors determine the generalized cost. And the customers will always choose a transportation mode of which the generalized cost is minimum. In this paper, a kind of dynamic pricing method for the express rail freight transportation is provided. At the same time, a model based on the generalized cost and a bi-level model are proposed. Finally, a comparison analyze of the influence on pricing strategies for railway enterprise is studied based on the data of Huhehaote to Beijing freight. The results show that the bi-level model does better than the another model in increasing profit for railway enterprise. References | Related Articles | Metrics

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Railway Passenger Service Quality Evaluation Based on BP Neural Network YANG Guo-yuan, SHI Tian-yun, ZHANG Qiu-liang 2016, 16(5): 33-38.  Abstract ( )   PDF (1317KB) ( )   In order to objectively and accurately evaluate the railway passenger service quality, an evaluation system is built from the perspective of passenger perception. Railway passenger service quality evaluated algorithm and BP evaluated network model of solving are built based on BP algorithm. Through the network training, the network output reached a desired accuracy and met the requirements of passenger service quality evaluation. Finally, through the railway passenger questionnaire examples, it is analyzed and simulated from the aspects of the mean square error, statistical the recognition rate. Passenger service quality is comprehensive evaluated and compared with fuzzy comprehensive evaluation method. Experimental results show that the evaluation index system built is scientific and reasonable .The convergence is faster and the error is smaller of evaluation algorithm proposed. It can effectively reflect the quality of passenger service and provide reference for advancing and improving passenger service quality References | Related Articles | Metrics

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Analysis of the Impact of Built Environment on Taxi Travel Demand Considering Spatial Spillover Effect LI Qi-lin, LU Ying-rong, DING Chuan, MAXiao-lei 2016, 16(5): 39-44.  Abstract ( )   PDF (1207KB) ( )   Urban built environment has an important impact on travel. In order to explore the influence of built environment on the taxi travel demand in the period of rapid urbanization in China, an econometric model considering spatial spillover effect is proposed. Beijing is taken as the empirical case in this paper. On the base of traffic analysis zone, taxi GPS data is used to obtain the taxi travel demand, and the densities of residential, employment and traffic facilities are measured to represent the built environment. Comparison among traditional OLS model, SAR model and SDM model, it is found that the SDM model obtains the best model fit and explanatory power. The significant spatial spillover effect of built environment on taxi travel demand should not be removed. According to the SDM model results, the direct, spillover and total effects of built environment on taxi travel demand are analyzed. This study hope to better understand the effect of built environment on taxi travel demand, providing helpful basis to reduce the rate of taxi without passengers, achieve the taxi space demand forecasting and distribution equilibrium. References | Related Articles | Metrics

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Logsum Difference and Nested Logit Model in Traveler Benefits Estimation MAShu-hong, TANG Xue-yan, YE Jian-yong 2016, 16(5): 45-50.  Abstract ( )   PDF (1324KB) ( )   Transport policy, project investment and management measures usually impact on travelers’ behavior, and then play a role on the economic benefits in transportation system. It is necessary to scientifically evaluate the influences and estimate the user benefits. From the analysis of the commonly used methods to estimate user benefits in transportation economics, this paper focuses on the methodology based on Logsum difference and consumer surplus. It builds a nested Logit model structure of travel decisionmaking from destination choice, mode choice and route choice through upper level to lower, and gives the mathematical descriptions and expressions of traveler utility and probability, and then proposes the formulas to estimate traveler benefits based on a nested Logit model and Logsum difference; it also establishes a base scenario and 5 alternative scenarios in an example and calculates the traveler benefits(or losts) across scenarios using Logsum method, and compares its results to rule- of- half method. Results show that the monetized differences in Logsums gives a more exact result for traveler benefits than rule-of-half when there is a big change on the variables compared to base scenario. References | Related Articles | Metrics

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Pedestrian Dynamic Simulation Based on Particle Flow Theory and Discrete Element Method YANG Jing, ZHANG Rui, LIU Rong-qiang, FENG Huan-dong 2016, 16(5): 51-57.  Abstract ( )   PDF (1796KB) ( )   Discrete element method is an efficient mechanical tool to analyze and solve complex discrete particle system. It has advantages on improving the solving efficiency of pedestrian dynamic model and depicting mechanical relation among pedestrians. Soft ball contact models are used to model the touching and squeezing behavior of pedestrians, and social force models are used to model subjective motive force as an external input. Based on these, pedestrian movement models are constructed based on the theory of particle flow and implemented on the discrete element simulation platform EDEM. The validity of these models is verified by comparisons between simulation data and field date under different pedestrian densities. The high efficiency of this algorithm is proved by calculation time comparison between different simulation platforms. The study results show that: the simulated pedestrian flow behavior under different densities are in line with field observations, as so as the average speeds of pedestrians, and the simulation model has high calculation efficiency. Therefore, the pedestrian simulation models based on particle flow theory and discrete element method can be realizable and need deeper research. References | Related Articles | Metrics

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An Algebraic and Graphic Combination Approach to Solve Network Sensor Location Problems HE Sheng-xue, SUN Jing-jing 2016, 16(5): 58-63.  Abstract ( )   PDF (1339KB) ( )   To obtain the traffic flows on the uninstalled links, an algebraic and graphic combinational approach to determining the optimal sensor locations is proposed. Firstly, based on the connection between the topological structure of traffic network and the algebraic adjacent matrix, the definitions of the equilibrium matrix and the basic balance matrix are presented. Secondly, based on the property of the basic balance matrix, an invertible matrix whose order is one less than the number of nodes can be found out. The set of links corresponding to the above invertible matrix forms a spanning tree of the traffic network. All the links in the spanning tree need not to install sensors. At last, according to the flow conservation principle, the traffic flows on all the uninstalled links can be deduced quickly and accurately through matrix operations. The new method uncovers the algebraic and graphic connections among the link flows and avoids the complexity due to the independent application of algebraic or graphic method. The feasibility and effectiveness of this new method is verified by numerical analysis References | Related Articles | Metrics

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A Commuting OD Matrix Training Method Based on Mobile Phone Data TANG Xiao-yong,ZHOU Tao, LU Bai-chuan, GAO Zhi-gang 2016, 16(5): 64-70.  Abstract ( )   PDF (1849KB) ( )   A methodology framework for training people’s residence and work place is presented to overcome defects in extracting people's activity pattern from mobile phone data like low precision positioning accuracy, irregular trajectory interval. First, each user’s daily trajectory is restructured to add the label of access time, departure time and delay time for each point. Spurious points are distinguished by given time and spatial threshold and then be clustered to filter out noise resulting from mobile service provider. Then, stable point for each time window is recognized by overlaying multi-days trajectory to get the most frequent location. User’s residence and workplace are determined by comparing stable points in workdays and holidays. Finally, commuting trips are constructed for each user between home and workplace. These trips are multiplied by expansion factors based on the street population. Analysis results of this methodology are in good agreement with the pattern revealed by the 2014 Census population and the 2014 Person Trip Survey in Chongqing, China. References | Related Articles | Metrics

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Real-time Estimating Method of Diver’s Reacting Time under the Condition of Internet of Vehicles CHAI Lin-Guo，CAI Bai-gen，WANG Hua-shen，SHANGGUANWei，WANG Jian 2016, 16(5): 71-78.  Abstract ( )   PDF (1810KB) ( )   A driver reacting time real- time estimating method based on nonlinear piecewise braking features and vehicle status is proposed in this paper. Numerical fitting approach is used to illuminate the relationship of initial velocity and deceleration rising time. And a BP neural network is established to model the main parameters of the a- t curve. Based on the two vehicle dynamic models, it estimates the driver reacting time through comparison of the theoretical displacement and the actual displacement. It sets up a Newell car following model based simulating environment to verify the methodology. The results show that under the condition of different initial velocity, the error of estimated reacting time is less than 0.022 s. And under the condition of different reacting time, the error of estimated reacting time is less than 0.013 s. The method proposed in the paper doesn’t need extra information interaction and measurement devices. And the precision can meet the requirement of vehicle safety. It can be used in traffic engineering. References | Related Articles | Metrics

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Intervention Effect of Driver's Speeding Behavior by Different Voice Information NIU Shi-feng, YUANWei, LI Hai-qin, FU Rui, GUO Ying-shi,WANG Lin 2016, 16(5): 79-84.  Abstract ( )   PDF (1373KB) ( )   In order to obtain the intervention effect of the unsafe driving behavior by voice information, typical unsafe driving behavior overspeed is studied as a research object. Different voice intervention information is designed, and 30 drivers are called to participate in simulation experiments. The intervention effect is evaluated objectively and subjectively and compared analysis of the results. Experiments show that the intervention effect is influenced by the style of the voice, and driver's objective performance and subjective cognition is different. The optimal voice intervention information of different moments are given in this paper. References | Related Articles | Metrics

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A Bayesian Method for Train Number Tracking in Railway Network YUAN Zhi-ming, ZHANG Qi, HUANG Kang, CHEN Feng 2016, 16(5): 85-89.  Abstract ( )   PDF (1185KB) ( )   It is necessary to get the train position in the railway network in real time for the railway traffic control. This paper investigates implementation and optimization method of train number tracking, by which the train position information can be captured. According to the characters of the train number tracking problem, the mathematical description of the problem and the tracking model based on railway signal states and train schedule are proposed. Then a method using Bayesian principle is proposed to make improvement. The data of Tianjin-Qinhuangdao Railway is used to make simulation for the train number tracking model. The simulation result is compared with results which are obtained under some restrictions and some analysis are discussed. The results show that the proposed method can effectively improve the accuracy of train number tracking and with better fault-tolerant robustness. References | Related Articles | Metrics

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Simulation Model for Taxi Service Market Equipped with Taxi-calling Apps DUWei,GAN Hong-cheng, LIU Bing-quan 2016, 16(5): 90-96.  Abstract ( )   PDF (1551KB) ( )   As the application of taxi- calling Apps in urban taxi service system result in huge debate on whether these Apps can enhance the service quantity of taxicab industry. We construct a discrete event system simulation model. The model simulates the dynamic process of customers’calling for taxi by Apps in network and the strategy of vacant taxi in searching for new customers. The result shows that in the fix taxi fleet size the average waiting times of the customers using taxi-calling Apps will increase when the proportion of customers that use taxi-calling Apps rise. Meanwhile with the expanding of taxi fleet size, two types of customer’s waiting times will reduce. Lastly the optimal taxi fleet size is determined by maximizing the integrated service quality index in simulation References | Related Articles | Metrics

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Partnering Behavior of Truck Platoon on Freeway Based on Cellular Automaton FENG Shu-min, NIE Cen, HU Bao-yu 2016, 16(5): 97-103.  Abstract ( )   PDF (1868KB) ( )   To study the partnering behavior of truck platoon on freeway, a new two-lane cellular automaton model for the partnering truck platoon is proposed. It analyzes characteristics of the partnering truck platoon and its impact on traffic flow. The results show that partnering truck platoon is a closely linked entirety, and the distribution curves of headway show the double peak trend when flow is relatively high. Under the same flow, there is little differences of mean speed between different size trucks platoon, the platoons can run steadily at desired speed. The existence of truck platoon enhances the lane changing frequency of usual vehicles, changing the state of traffic, resulting interruptions in fundamental diagram, and limits the emergence of synchronized flow when platoon size is relatively long. The proposed model reproduced the partnering behavior of truck platoon on freeway well, and it can provide reference for study on traffic flow characteristics under special condition. References | Related Articles | Metrics

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Passenger Choice Behavior for Regional Rail Transit under Express/Local Operation with Overtaking ZHAO Xin-miao，SUN Quan-xin，DING Yong，SHI Rui-jia，CHEN Yao 2016, 16(5): 104-109.  Abstract ( )   PDF (1497KB) ( )   Passenger choice behavior for regional rail transit under Express/Local operation is affected if express trains overtake local trains. This paper sorts the passengers by the type of their origin-destination to obtain the optional choice set, and constructs a generalized cost model of passenger travel route considering perception difference of time; after that, Logit model is used to study passengers’selective probability under Express/Local operation; finally, sensitivity analyses of the influential factors show that: when transfer perception coefficient or the headway at origin station increases, selective probabilities of the routes with transfers decrease while those of the routes without transfers increase; when the number of stations covered by passengers’OD or the number that express trains overtake local trains increases, selective probabilities of the routes with transfers increase while those of the routes without transfers decrease, indicating that Express/ Local operation can attract more passengers to catch express trains for saving travel time though they may transfer one or two times. References | Related Articles | Metrics

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Time-dependent Demand Oriented Line Planning Optimization for the High-speed Railway SU Huan-yin, SHI Feng, DENG Lian-bo, SHAN Xing-hua 2016, 16(5): 110-116.  Abstract ( )   PDF (2006KB) ( )   To make the line planning for the high- speed railway fit well with time-dependent demand, a train running scheme is introduced. Then train times (departures and arrivals) are applied in the line planning optimization, which avoids the large-scale computations of integrated optimization with timetabling. A Stackelberg Game model of the line planning for the high-speed railway considering time-dependent demand is proposed with the objective of minimizing the train engine time and the passenger travel time with weights. Constraints include section through capacities, the station capacity of train departing and the train capacity. A schedule-based assignment method is used to evaluate the solution. A simulated annealing algorithm is used in which some strategies are designed to search neighborhoods including reducing train formations, deleting trains, adding trains, splicing trains, increasing train formations and adjusting train departure times. The numerical experiment is conducted on the Beijing-Shanghai high-speed railway line and the results show good evaluation indexes. Especially, the actual boarding times of passengers match better with the expected departure times and the algorithm holds high efficiency and well convergence. References | Related Articles | Metrics

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Optimization for Train Plan of Urban Rail Transit Based on Hybrid Train Formation RONG Ya-ping，ZHANG Xing-chen，BAI Yun，XU De-jie 2016, 16(5): 117-122.  Abstract ( )   PDF (2189KB) ( )   In order to meet the fluctuation of passenger flow, a multi-objective optimization modal for train plan of urban rail transit based on hybrid train formation is established, which is aimed to minimize the passengers’waiting time and operator’s cost. The constraints are transport supply, policy headway and fleet size. And a two-phase mathematical programming algorithm is also proposed. At last, the validation of the proposed model and the algorithm has been tested with an urban rail transit line in China. The results show that compared with the traditional train plan of single train formation, the train plan based on hybrid train formation can reduce the waiting time of passengers and the cost of operation by 17% and 27%, but increase the total train-hours by 20%. When the threshold ratio of peak demand to off-peak demand is more than 1.48, the train plan of hybrid train formation is preferable. References | Related Articles | Metrics

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Optimization of Train Blockings and Shunting Lines in a Railway Marshalling Yard BI Ming-kai, HE Shi-wei, LI Ting-ting, LI Hao-dong 2016, 16(5): 123-128.  Abstract ( )   PDF (1413KB) ( )   Matching the number of blockings and shunting lines is helpful to alleviate the operation pressure of the marshalling station and decrease the transit time. The transport network centered on a marshalling yard is established by analyzing the relationship of blockings and shunting lines. The optimization model of matching blockings and shunting lines is constructed with hierarchical hub location method and solved by ILOG CPLEX. A numerical example is given to prove the validity of the model. The result shows that some cohesion directions could be merged to match blockings and shunting lines according to the traffic flow. In addition, the marshalling yard needs to build new lines to satisfy the demand when the number of fulcrum stations and the freight rate are changed. The optimization results can provide a reference for the marshaling yard to expand the capacity and daily blocking policy management. References | Related Articles | Metrics

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An Emergency Penalty-based Dynamic Highway Traffic Assignment Model GENG Yan-bin 2016, 16(5): 129-135.  Abstract ( )   PDF (1648KB) ( )   After the differences in the dynamic traffic assignment methods between emergency and general traffic are thoroughly analyzed, a feasible dynamic analysis method is provided for the highway emergency traffic evacuation, by combining the temporal and spatial distribution of emergency demands with the dynamic traffic assignment procedure. First, the traffic temporal and spatial distribution forecasting model, which restricted to the evacuation deadline requirements, is established to estimate the time- varying trip matrix of demand distribution. Subsequently, through the bi- level programming model named DYMIN, dynamic traffic assignments are conducted on the time-varying trip matrix to achieve the initial time-varying impedances for each link. Further, in order to reflect the impacts on the link impedances of temporal and spatial changes in the emergency broadcasting area, the emergency penalty functions are introduced to fix the initial impedances, thereby, the trips could be guided to choose the shortest path with lower impacts of emergency in the evacuation process. Finally, multiple traffic simulation runs by TransModeler in feedback mode are executed to compare the highway emergency traffic assignment results before and after utilizing the penalty functions, the effectiveness of the established models is validated. References | Related Articles | Metrics

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Super-node Model Based on Multi-direction Congestion ZHANGWei-hua, QIAN Chen, HUANG Zhi-peng 2016, 16(5): 136-142.  Abstract ( )   PDF (1890KB) ( )   In the urban road network, node resistance influence the result of route choice and traffic assignment greatly. To make up for the deficiency of the research on the impedance of the node, optimize traffic assignment method, this paper analyses the existing node structure model. From which the Supernode model based on multi- direction congestion on the basis of the super- node structure and the model algorithm is established and designed after analyzing the turning congestion effort. The model improves the method to express the turning flow and resistance, introducing the principle of route choice. At last, the paper demonstrates traffic assignment process considering turn resistance and not, after that analyses the route resistance variation trend, flow on link and turn of the example network by the capacity restrictionincremental assighment method. The result of numerical example shows the model is more reasonable and effective in expressing the trend of turn resistance and influence from the multi-direction congestion of node. References | Related Articles | Metrics

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A Model for the Joint Choice of Commute Mode and Trip Chaining Pattern XIANYU Jian-chuan 2016, 16(5): 143-148.  Abstract ( )   PDF (1294KB) ( )   Using single commuter as the base analysis unit, a Cross- Nested Logit model with two dimensions of commute mode and trip chaining pattern is developed in this paper to describe the joint choice based on generalized extreme value model. Duplets of commute mode and trip chaining pattern is used as elementary alternatives in the established model. The model describes how commuters jointly choose commute mode and trip chaining patter under the influences from individual ocioeconomics, residence and work location, and work schedule and the inter-alternative correlation along the two choice dimensions. The model is estimated using travel survey data. Empirical research results show that there are significant interrelation between commute mode and trip chaining. Gender, household income, household structure, household traffic tools, work schedule, residence and work locations are all important influences for the joint choice. Changes in the utility influential variables will result in changes in trip chaining pattern first instead of commute mode choice. References | Related Articles | Metrics

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Probability Distribution of Per Capita Travel Speed in Urban Road HU Pan, YANG Xiao-guang 2016, 16(5): 149-156.  Abstract ( )   PDF (1740KB) ( )   In order to search appropriate fitting models for describing change rule of per capita travel speed in features of interrupted flow, an estimating method of per capita travel speed based on multi- source is provided. Normal distribution and lognormal distribution are chosen as basic forms to build four kinds of bimodal distributions. Based on the fitting result of real data in Zhengzhou, China, the feasibility of bimodal distributions is analyzed quantitatively by the goodness of fitting test and the adaptation to variance of sample data. Considered mixed traffic flow on bus and car, results indicate that N_N bimodal distribution is fitted for the road sections with transit lane better, and N_LogN bimodal distribution is fitted for the road sections without transit lane better. References | Related Articles | Metrics

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Assignment Model of Freeway Off-ramp Flow Based on MFD of Ground Network DING Heng，JIANG Cheng-bin，ZHU Liang-yuan，GUO Fang 2016, 16(5): 157-164.  Abstract ( )   PDF (1919KB) ( )   Over-centralized distribution of flow is easy to lead to the ground road and the off-ramps being over- saturated, and affect the travel efficiency of the mainstream and the ground network. To improve the traffic efficiency of the vehicles arriving at destinations through the freeway, the flow assignment model of off-ramp, based on the macroscopic fundamental diagram (MFD) of the ground network, is established with the shortest total travel time of vehicles in the entire road network as the optimization goal. It is with the traffic capacity of off- ramp and the ground network connected with off- ramp as constraint. Furthermore, according to the equilibrium equations of the traffic flow of the macro network, the model is solved by an improved genetic algorithm. Finally, the validity of model is verified by an actual network. The research results show that the model can effectively improve the traffic efficiency of vehicles through the expressway to the destination and reduce the cost of travel. References | Related Articles | Metrics

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Online Short-term Traffic Flow Prediction Considering the Impact of Temporal-spatial Features LI Lin-chao, HE Shang-lu, ZHANG Jian 2016, 16(5): 165-171.  Abstract ( )   PDF (1951KB) ( )   Considering the impact of temporal- spatial features of traffic flow can improve the prediction accuracy. Therefore, this paper introduces a radial kernel function to convert the complex predictive problem into a regression algorithm in high-dimensional space. Then, based on support vector regression, an online short-term traffic flow prediction model considering temporal-spatial features is built. Grid search method is used to optimize the parameters. Finally, state vector is built to analyze the influence of temporal- spatial features. Based on the dataset of detectors in highway, different models are compared and the validity and feasibility of the prediction model are verified. The results indicate that online model is superior to traditional support vector. If considering the influence of temporal- spatial features the prediction model is more accuracy and steady. References | Related Articles | Metrics

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Model and Algorithm of Guiding Path Planning for Urban POI Guide Signs HUANG Min, ZHENG Jian, LIU Fang 2016, 16(5): 172-177.  Abstract ( )   PDF (1730KB) ( )   In the process of planning guiding path of urban POI guide signs, both the length of path and number of deployed guide signs need to be considered. However, most of the traditional models only consider the path length, which have drawback for path planning. Based on the representation of road network, a linear programming model is constructed in this paper. In this linear programming model, the length of planned path and the number of deployed guide signs are taken as the optimization indicators. Then combining with the artificial bee colony algorithm, the algorithm is designed to solve the guiding path planning problem for guide signs in urban. Finally, Guangzhou Higher Education Mega Center is chosen as the test area. A planned path for guide sign deployment from the exit of Nansha Gang expressway to Sun Yat- Sen University is found out using the proposed model. Comparing with the present station of guide signs, the path planned by the proposed method in this paper can balance the requirement of convenience of guiding path and the cost of guide sign panel manufacture and deployment. And the model proposed in this paper is more feasible and effective. References | Related Articles | Metrics

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Transport Influence Analysis of Bus Lanes Based on Community Structure Detection LUO Yi, QIAN Da-lin, HUANG Jian-hua 2016, 16(5): 178-184.  Abstract ( )   PDF (1624KB) ( )   Designation of bus lanes is an important measure to protect public transport priority. However, it will compress running space of vehicles. So part of the vehicles have to choose other sections in the peak hours, that can affect other vehicles on the other road. In order to research the influencing regions, we transfer it into process of the data sample cluster, this paper proposes here a measure for community structure detection of similarities between vertices based on random walks, which combines topologies of complex network and epidemic dynamic. This algorithm improves the transition probability of random walk that particles transfer between nodes in the network, not only relate to the degree of nodes, but to the distance between nodes. It deduces dissimilarity by transition probabilities and based on it. It uses hierarchical clustering to build a tree for final community structure. A case study on Jingtong Expressway in Beijing shows the urban traffic network proved the feasibility of this method, which can also provide new research ideas and methods to relevant research works. References | Related Articles | Metrics

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Prediction Model of Driving Energy Consumption Based on PCA and BP Network ZHAO Xiao-hua, YAO Ying, WU Yi-ping, CHEN Chen, RONG Jian 2016, 16(5): 185-191.  Abstract ( )   PDF (1518KB) ( )   Nowadays, society pays much attention to the problems of fuel consumption. This paper concerns about prediction of microcosmic energy consumption, and its purpose is to realize fuel consumptions of Beijing basic freeway section. Based on OBD/GPS terminal installation on taxis, we extract driving behavior’s data of taxi drivers, select main relevant indexes, set up the prediction model of fuel consumption, and realize accurate prediction of fuel consumption in Beijing basic freeway section. Results show that average speed, standard deviation of speed, max speed, rate of operating condition, average acceleration and deceleration, distance and energy have greater influence on fuel consumption; PCA and neural network combination model can realize energy consumption prediction effectively, and the accuracy of prediction can reach 92.46%. This research can provide strong supports on monitor and regulation of traffic energy consumption. References | Related Articles | Metrics

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A Modified Social Force Model Considering Random Behavior Fluctuations QU Zhao-wei, CAO Ning-bo, CHEN Yong-heng, BAI Qiao-wen,ZHAO Li-ying, KANG Meng 2016, 16(5): 192-197.  Abstract ( )   PDF (1322KB) ( )   To make pedestrian microscopic simulation model more comprehensive, this paper builds a pedestrian microscopic simulation model to describe pedestrian crossing process considering random behavior based on social force model. In the modified model, the influence of random behavior on pedestrian crossing is studied. Two models are modeled to represent random behavior from speed and force. Based on the simulation results, on condition that the ratio of bidirectional pedestrian is 1:1, the pedestrian simulation trajectories and the relationship between the crossing time and crossing pedestrian number are acquired. Besides, when random behavior anisotropic character λαε takes different values from 0 to 1, the difference between pedestrian simulation crossing time and calculates crossing time based on crossing time empirical model are compared and analyzed. It is found that random behavior leads the crossing time to increase, and the second modified social force model can reproduce the crossing trajectories similar to actual crossing trajectories. when random behavior anisotropic character λαε takes different values from 0.5 to 1, pedestrian simulation crossing time of second modified social force model are closest to calculated crossing time based on crossing time empirical model. References | Related Articles | Metrics

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Battery Electric Transit Bus Scheduling Problem Based on Column Generation Approach YANG Yang, GUANWei,MAJi-hui 2016, 16(5): 198-204.  Abstract ( )   PDF (1284KB) ( )   As the key problem in the process of public transit planning, bus scheduling is the connection of timetabling and driver rostering. Compared with traditional bus, the battery electric (BE) transit bus is environmental and short mileage. From the planning point of view, the new characteristics of BE bus brings challenges to the traditional planning method. In this paper, the depot, recharge station and trips are regarded as points, the deadheading between points are regarded as arcs, we formulate the BE bus schedule as a directed network. A tailed column generation approach is employed to solve the BE scheduling problem. Both random and actual data sets are used to test our approach, the results show that the tailed column generation approach performs well in solving the BE scheduling problem. References | Related Articles | Metrics

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Yard Crane Scheduling under Multi-type Task Combined Operation CHEN Lei-lei, HUANG You-fang, LE Mei-long 2016, 16(5): 205-211.  Abstract ( )   PDF (1588KB) ( )   In container terminal, yard crane is the main equipment that handles containers between yard stacks and trucks. And its operating efficiency is very important to service level of container terminal. In this paper, the multi-type task combined operation of yard crane is studied to enhance the operating efficiency of yard crane. Firstly, a yard crane scheduling model under multi-type task combined operation, which takes the starting time delay minimization as optimization objective, is formulated based on integer programming. Then, an algorithm base on GA is designed for model solving. And finally, the model and the algorithm are tested to be valid and effective, by a numerical case from the actual operating data of a container terminal. References | Related Articles | Metrics

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Safety Characteristics of Mixed Flight Situation in Complex Low-altitude Airspace ZHANG Hong-hai, QIU Qi-lun,WANG Zhong-ye, ZHANG Xiang-yu 2016, 16(5): 212-218.  Abstract ( )   PDF (1679KB) ( )   In order to reveal the safety characteristics contained in mixed flight situation in complex lowaltitude airspace, in this paper, based on the environment characteristics of complex low-altitude airspace and aircraft individual heterogeneous behavior feature, low- altitude flight behavior models are built; and the complex low-altitude airspace mixed flight situation simulation environment is built using Agent technology and NetLogo tool, and then the relationship and influence rules of characteristics parameters such as flight volume, average speed, and flight conflict etc. are revealed. The research result shows that: with the increase of flight volume, flight conflict increases slowly and then increases sharply, meanwhile it has sharp increasing trend with the increase of average speed, the safety and efficiency of low-altitude flight situation will be higher when flight volume reaches 80 and average speed is about 300 km/h; the hybrid ratio of different types of aircraft and the distance of conflict detection are greatly impact on the flight safety, and the flight situation can be improved by setting the hybrid ratio 3:2:4:1, conflict detection distance 4 km. References | Related Articles | Metrics

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Liner Service Network Design with Speed Optimization ZHANG Yan，YANG Hua-long，JI Ming-jun，XING Yu-wei 2016, 16(5): 219-226.  Abstract ( )   PDF (1540KB) ( )   Ship speeds have an effect on the route design, ship deployment and cargo routing of liner service networks. In this paper, we take ship speed as a decision variable and propose an integrated and comprehensive non-linear mixed integer programming model. As the model has a special structure, a model decomposition method based on residual demand is proposed. Numerical experiment is implemented to provide promising solutions. The results of our proposed method are compared with results which are obtained by other methods. The comparison shows the profit of the best network found using the proposed model with speed optimization is much higher. Furthermore, when the market conditions change, the proposed method can be used to adjust the network more effectively. References | Related Articles | Metrics

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Setting Conditions and Key Parameters for Two-way Separated Bicycle Lane Design LIANG Xiao,XIAO Zhong-sheng,YUAN Yao,HUANG Xi 2016, 16(5): 227-232.  Abstract ( )   PDF (1544KB) ( )   Providing one-way separated bicycle lanes on each side of a two-way street may draw a lot of inconveniences and problems, such as making a long distance detour for bicyclists across streets, as well as riding in discordance with the traffic laws (e.g., against the traffic flow, in pedestrian zones, on sidewalks). The conception of two-way separated bicycle lane (TWSBL) is introduced to deal with this phenomenon. The applicable circumstances of TWSBL, focused on the road condition and traffic demand, have been analyzed. The field survey is done to acquire the two way bicycle flow characteristics. And then the lateral clearance and widths of TWSBL are obtained through data fitting. Meanwhile, the paper analyzes the directional characteristic, separation forms and intersection design of TWSBL. Finally, reference values of TWSBL design parameters suitable for China are proposed. The results could be helpful and referential to the planning and design for TWSBLs in new construction and expansion projects in the future. References | Related Articles | Metrics

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Home District Identification for Urban Rail Transit Travelers by Mining Automatic Fare Collection Data YAO Xiang-ming，ZHAO Peng，HAN Bao-ming，ZHOU Qing-ru 2016, 16(5): 233-240.  Abstract ( )   PDF (1855KB) ( )   A methodology to identify home location for urban rail transit travelers is proposed in this paper, based on the spatial- temporal relationship within automatic fare collection (AFC) data. It is assumed that: most of travelers end their last trip at the start of their first trip of the day, and most travelers start their first trip at the end of their last trip of the day before, and travelers always start the first trip or end their last trip near their home location, based on these three assumptions a center point estimation algorithm is constructed. Finally, a practical rail transit network from Beijing in China is used to verify the effectiveness and accuracy of the proposed method, and result shows that 88.7 percent of passengers’home district can be identified from one week’s AFC records. This study improve the value of AFC data and provide a new method for analyzing the travel behavior and traffic demand characteristics. References | Related Articles | Metrics