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    Decision-making Forum
    Practice and Innovation of Logistics and Supply Chain Management
    ZHANG Guo-wu
    2010, 10(5): 1-11 . 
    Abstract ( )   PDF (2237KB) ( )  
    The development of logistics in China is closely associated with its reform and opening policy and modernization construction. With the economics globalization and grouped, the logistics has experienced an evolution from traditional into modern one. It plays increasingly important roles in national economy and peoples’ daily lives, and receivesconsiderable attentions of the society. The 20th conference of “Traffic andTransportation Forum 7+1” sets its theme as “practice and innovation of logistics and supply chain management”, and addresses that the key point of the modern logistics and supply chain management is innovation. The conference introduces the definition and function of logistics finance as well as its development and application in China. It also illustrates several basic theories on logistics subject, the role and position of government for logistics development, and the applications and prospects of advanced technologies involving the internet of things.
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    Forum about Comprehensive Transportation System
    Reviewing Traffic Reliability Research
    WANG Dan-hai, QI Hong-sheng, XU Cheng
    2010, 10(5): 12-21 . 
    Abstract ( )   PDF (1465KB) ( )  
    Multi-dimension, stochastic, and dynamic are essential nature of urban traffic operation. Traffic reliability introduces the idea of reliability into traffic research and is an important field of cause analysis of traffic problems. Considerable researches have been conducted on traffic reliability, covering from theory to practice, and from model to algorithm. There already exists a framework for reliability analysis. However, few comprehensive review literatures can be obtained. The goal of this paper is to fill this blank from describing of development of traffic reliability research. Basic definitions, theory, and methods are depicted accompanied with the application to traffic optimization. In the last section, the future development of traffic reliability research is concerned.
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    Energy Consumption of Locomotives in China Railways during 1975-2007
    HE Ji-cheng,WU Wen-hua, XU Yu-qing
    2010, 10(5): 22-27 . 
    Abstract ( )   PDF (1114KB) ( )  
    Based on annual statistical data collected by the Chinese Railway Statistic Center, the energy consumptions of locomotives during 1975 to 2007 were calculated, and the energy consumption intensity and its dynamic characteristics were analyzed. The results show that the energy consumption of steam locomotives decreased while that of diesel and electric locomotives increased with time. The total energy consumption of locomotives in China decreased at a rate of 0.115 Mt standard coal equivalent per year. The energy consumption intensity of locomotives decreased from 26.79 g standard coal equivalent (converted t•km)-1 in 1975 to 3.56 g standard coal equivalent (converted t•km)-1 in 2007 at an average rate of 0.73 g standard coal equivalent (converted t•km)-1 per year. This study provides some valuable data on the status quo of energy consumption in the railway sector of China. Furthermore, the estimation presented in this paper can also give some suggestions for making energy saving strategy in China railways.
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    Value Chain Integration of Railway Enterprise Based on Customer Value
    XIN Chun-hua, ZHANG Xing-chen, YANG Yi-jian
    2010, 10(5): 28-34 . 
    Abstract ( )   PDF (1120KB) ( )  
    In the increasingly competitive transport market, it is necessary for railway companies to integrate its value chain systems to obtain and maintain the competitive advantage. This paper systematically explores the value chain integration programs of railway companies based on customer value enhancement with theoretical analysis on the enterprise value chain integration. The results indicate that railway companies should establish the new mode of dynamic value chain management based on enhancing customer value, namely, dealing with dynamically the integration process of value chain, combining network technology with operations management to optimize the internal value chain of the railway enterprise, making use of the theory of strategic partnership to integrate longitudinal value chain between railway companies and important customers, achieving transverse integration through cooperating with other transportation modes.
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    Intelligent Transportation System and Information Technology
    Vehicle Class Composition Identification Based Mean SpeedEstimation Algorithm Using Single Magnetic Sensor
    DENG Xiao-yong, HU Zhong-wei, ZHANG Peng, GUO Ji-fu
    2010, 10(5): 35-39 . 
    Abstract ( )   PDF (737KB) ( )  
    Magnetic vehicle detector is a rising traffic flow data collection technology in recent years. In the related research field, vehicle speed estimation based on single sensor is one of the hot spots. This paper introduced the magnetic vehicle detection technology. The distribution statistics of vehicle length on urban road network was analyzed. Under certain reasonable assumptions, the vehicle class composition identification based mean speed estimation algorithm was then put forward. In the algorithm, the OTSU method was used to classify vehicles into small and large vehicles. On urban road network, small vehicles appeared mostly and the vehicle lengths distribution was centralized. According to the statistical characteristics, mean vehicle speed was calculated based on only small vehicles data in the algorithm. Finally, field experiment was conducted on road section in Beijing and the algorithm was verified on the Matlab platform. It was concluded that, the algorithm was with high accuracy and stability. The accuracy of calculated mean vehicle speed exceeded 85%.
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    Database Building Method of Floating Car Speed with Relativity Analysis
    LIN Sen, LIU Jing, GUAN Ji-Zhen, HOU Xiao-Yu, SUN Jian-Ping, LIU Xue-Jie
    2010, 10(5): 40-44 . 
    Abstract ( )   PDF (673KB) ( )  
    As a new collection technology, the floating car traffic information collection has a broad application. Because of the continuity, the collected traffic information increases rapidly as time going. As a result, it cumulates great of data. It is necessary to build a historical database, which can provide reference for traffic status prediction, and can simultaneously reduce the redundancy data. This paper presents the method for building the standard database using the historical floating car data based on the relativity and comparability of traffic information. It includes how to fix on the data storage time interval and two algorithms for computing the basic data sequence, which named direct sum estimation method and integrative estimation method. Finally, an example is presented by the field floating car data from Beijing expressway. The results indicate the validity of the method. The direct sum estimation method is recommended in the application because of its advantage of simpleness and great efficiency.
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    Design and Implement of Real-Time Aerial Target Tracking System Based on FPGA
    NING Cheng-jun, SHI Zhong-ke
    2010, 10(5): 45-52 . 
    Abstract ( )   PDF (3563KB) ( )  
    Aimed at the requirements of airport and its peripheral airspace safety management of civil aviation and the shortcoming of the existence of blind spots vulnerable to interference of radar tracking, the paper designs a FPGA-based real-time aerial target tracking system. According to the characteristics of the aerial targets, the image with gray frame difference method for target detection, adaptive dual-threshold for target segmentation, centroid tracking method for target tracking, the system achieves up to 25 frames/s real-time processing speed. The impacts of interference are excluded and the tracking capabilities are improved by setting the track area and targeting algorithm. Then, the miss distance in the centroid coordinates is served as the tilt control parameters. According to the value of pixels of the divided target, automatic zoom control is employed during the tracking process. With IDE interface hard disk as storage medium, the FAT32 file system acts as image storage format to record the real-time image. Field experiments show that the system is stable, the tracking algorithm is simple and practical. It is used to assist radar tracking system in tracking and monitoring while airplane is taking off and landing and while there exists airport peripheral moving target.
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    Systems Engineering Theory and Methods
    Optimizing Pricing Policies in Park-and-Ride Facilities: A Model and Decision Support System with Application
    KEPAPTSOGLOU Konstantinos, KARLAFTIS Matthew G, LI Zong-zhi
    2010, 10(5): 53-65 . 
    Abstract ( )   PDF (1984KB) ( )  
    Park-and-ride facilities are of major importance to the attractiveness and operation of modern transit systems because travelers tend to prefer public transportation when they are able to combine the use of these facilities with their private vehicles. Among those elements examined when developing/operating a park-and-ride facility is the pricing policy to be established for its users. Indeed, the pricing policy is among those tools that can aid transportation agencies in managing park-and-ride facilities, by providing incentives or disincentives of parking for various categories of users. This paper contributes to the literature by offering a new approach for obtaining optimal pricing schemes for a parking facility, with respect to its financial viability. In particular, a financial analysis model is combined with a genetic algorithm for determining the optimal pricing parameters for park-and-ride facilities. The model is applied for a shared-use, park-and-ride facility of the Athens metro network in Greece. Results of the computational study indicate that the model can offer near optimal pricing schemes in a short amount of time. A decision support system is also developed for incorporating the model in a user friendly computerized framework.
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    Interaction Analysis between Night Train Operation and Maintenance Time on Passenger Dedicated Railway Line
    NIE Lei, HU Bi-song, FU Hui-ling, TONG Lu
    2010, 10(5): 66-72 . 
    Abstract ( )   PDF (1008KB) ( )  
    Maintenance Time on Passenger Dedicated Line (PDL) affects the night train operation, considering the high-speed train can travel across adjacent conventional and inter-city railway lines with harmoniously utilizing the capacity of transport corridor to meet the demands of night service, the paper analyzes the interaction between setting up full range of vertical rectangular maintenance time window on PDL and night train operation, then the mathematical model for obtaining the best location of time window is established with minimizing the number of train ODs affected by time window as object, and meeting the reasonable departure and arrival time zone of sunset-departure and sunrise-arrival train as constraints, algorithm is also designed. Taking Beijing-Shanghai High-speed Railway as example, a conclusion that there is little difference of the number of train ODs affected by different locations of time window is obtained by computer programming, then the relatively best location of 4-hour vertical rectangular time window are given when the train-sets’ speed is 350km/h and 250km/h, and velocity coefficient is 0.9 and 0.8 respectively, the operation adjusting methods for those trains affected by the time window are also given, on these basis, the appropriate train-sets’ speed of night train is suggested preliminarily.
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    Parameter Estimation of the Mixed Logit Model and Its Application
    LI Hua-min, HUANG Hai-jun, LIU Jian-feng
    2010, 10(5): 73-78 . 
    Abstract ( )   PDF (832KB) ( )  
    The mixed Logit model is flexible for application becous the coefficients associated with the attributes of the utility variables could be distributed in normal, lognormal, SB, and other types. On the basis of Beijing’s resident daily travel survey, a mixed Logit model is presented and calibrated in this paper. The method of maximum simulated likelihood, in which quasi-random number sequences of shuffled Halton and the MLHS (Modified Latin Hypercube Sampling) are used for simulation, is developed to estimate the coefficients, and hence to determine suitable distributions for them. The estimated values give clear explanations to the factors influencing the resident’s mode choice behavior.
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    Modeling the Distribution Setting of Parking Tracks for Disabled Trains in Urban Rail Transit System of China
    ZHANG Zeng-yong, MAO Bao-hua, DU Peng, DING Yong, XIE Mei-quan
    2010, 10(5): 79-84 . 
    Abstract ( )   PDF (854KB) ( )  
    During the process of urban rail transit system design, the settings of disabled train parking tracks’ distribution are both related to the cost and the operation. It is of great significance for urban rail transit system construction and operation to set disabled train parking tracks economically and reasonably. This paper intends to study parking track’s distribution setting for urban rail transit system with an integration of construction anoperation .First, the paper introduces the situation of the studying for disabled train parking track’s setting in urban rail transit system, and then describes the rescue process. Based on these, a 0-1 integer programming model for multi-objective optimization is established, and the main consideration is the rescue’s effect after the train is disabled and the parking tracks’ cost. Contrary to the model’s characteristics, a method of implicit enumeration is used during solving process. Finally, the model and its algorithm are tested with a practical case, which is the design data of a domestic metropolitan area rapid transit line. The results show that this model and its algorithm can afford reasonable setting program quickly.
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    Expressway Entrance Control Based on Task Balancing Model
    ZHU Hong-ge, LIU Xiao-ming, SHI Qi-xin
    2010, 10(5): 85-90 . 
    Abstract ( )   PDF (873KB) ( )  
    Based on the analysis of the actual use of urban expressway entrance control model, the method of entrance control based on the task balancing control (TBC) is introduced in this paper. The measure of effectiveness (MOE) is set as the indicator of TBC model, and the control model on the systems with multiple parallel plants (MPP system) is integrated with the ALINEA model. This model focuses on the balance of expressway and auxiliary traffic demand. To improve the practicability of the model, this paper proposes two improvements: asymmetry parameters and local reduction coefficient in the weak interacting conditions, and also applies the improved queue induction model of NEMA to control overflowing. This TBC model is validated on the viaduct of Jinzhai Street in Hefei province, and the travel time of expressway is reduced by 9.09%-9.44%. Finally, the adaptability of the TBC model under different conditions is introduced. This model has significant effect of improving local congestion, especially during the rush hour under different crowded degree between expressway and auxiliary road.
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    Pricing of Multimodal Transportation Networks under DifferentMarket Regimes
    SHI Ruo-ran,LI Zhi-chun
    2010, 10(5): 91-97 . 
    Abstract ( )   PDF (892KB) ( )  
    Parking charge and transit fare, as effective travel demand management methods, can balance modal split in transportation networks. This paper first establishes a network equilibrium model with private car and transit modes based on the analysis of travelers’ choice behaviors. Then, pricing models for the multimodal transportation networks under different market regimes are proposed. The market regimes concerned include monopoly, oligopoly, and social optimum. The proposed model considers the responses of travelers to the pricing strategies of parking charge and transit fare and demand elasticity. Finally, a numerical example is given to illustrate the application of the proposed model. The economic implications of the optimum solutions for the different market regimes are also discussed.
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    Stochastic Chance Constrained Objective Programming Model of Railway Passengers Selecting Trains
    QIAO Rui-jun,ZHU Xiao-ning, CAO Xiao-hui, ZHENG Ke-fei
    2010, 10(5): 98-103 . 
    Abstract ( )   PDF (783KB) ( )  
    Passengers’ selection of the train number when they travel by railway is associated with both the trains’ conditions and passengers’ actual demand. Analyzing uncertain factors referring to selecting trains and multiple objects passengers seeking, introducing stochastic decision making optimization theory, a stochastic chance constrained objective programming model of railway passengers selecting trains is developed, which is subject to passengers demand for actual arriving time, traveling cost, probability of buying tickets successfully, and traveling comfort level. Train delay time arriving at the terminal station and remaining tickets amount when buying tickets are two important factors influencing passengers’ train selection, which are also stochastic variables. According to their distribution functions and passengers correlative demand, the stochastic chance constrained objective programming model is transformed into a certain model, and implicit enumeration is applied in a calculation example. The calculating result shows that the model can give passengers reasonable suggestions on train selection.
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    Road Traffic Accidents Forecasting Based on Quantum Neural Network
    SUN Di-hua,TANG Liang, FU Qing-song, LI Yong-fu, XIE Jia
    2010, 10(5): 104-109 . 
    Abstract ( )   PDF (772KB) ( )  
    Road traffic accidents forecasting is one of the key issues of the road traffic safety. A forecasting model based on the quantum neural network (QNN) is introduced to solve the problems of precision inadequacy and low convergence rate of the BP neural network. The numbers of the training samples are enlarged by phase-space reconstruction of the road traffic accidents time series. The activation function of model superposition is used in the hidden-layer neurons to partition the feature space of road traffic accidents data into multi-layer rundles. Both the matching speed of the input data and feature space and the convergence rate of model are improved. The quantum interval is adjusted dynamically in the training process to adapt the strong randomness. The results show that the QNN model fits the characteristics of road traffic accidents data well, and its prediction accuracy and convergence rate are superior to that of improved BP neural network.
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    Model and Solution Algorithm for Multi-User and Multi-Mode Mixed Traffic Equilibrium Variational Inequality
    LUO Duan-gao,SHI Feng
    2010, 10(5): 110-116 . 
    Abstract ( )   PDF (1005KB) ( )  
    In urban road network with mixed traffic modes, travelers frequently choose their mode and path according to their traveling preferences. Considering the mutual influences among different traffic modes in a general road network, travelers can be grouped into different user classes according to their time values. Each class of travelers can travel by car, taxi’ or bus. To solve this mixed traffic equilibrium assignment problem with the mutual influences of different traffic modes, from the perspective of traffic demand, a link travel time function is developed using the BPR formula which is suitable for mixed urban traffic network. A model of multi-user and multi-mode mixed traffic equilibrium variational inequality is proposed and a hybrid solution algorithm is designed based on the diagonalization technique and the MSA method. The numerical analysis of a test network shows that the travelers with high time value tend to travel by car or taxi while the travelers with low time value tend to travel by bus.
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    Feasibility Analysis of Building High-Speed Exit on Existing Runway
    ZHONG Xiao-lei,XU Jin-liang,CAI Liang-cai,WANG Guan-hu
    2010, 10(5): 117-122 . 
    Abstract ( )   PDF (709KB) ( )  
    To improve runway utilization, the problem of building runway high-speed exit on old airfield which flight area shape like “目”has been studied systematically. Through analysis the process that airplane taxing in the runway high-speed exit,influencing factors which are distance between the runway and taxi way and between two mid-taxing way are founded. Based on this,the math model which for the distance that runway high-speed exit need is built and limiting condition that is distance along runway is demonstrated,then the curves between airplane taxing speed and distance from the runway to taxi way and runway high-speed exit need are obtained for representative airplane, when degree of runway high-speed exit angle is 30°,45°, and 60°. At last, using the paper’s result, the feasibility of building runway high-speed exit on a certain airfield is analysed, and the rebuilding scheme for runway high-speed exit is put forward.
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    Multi-Level Analysis of Fuel Consumption and Emissions of Heavy-Duty Diesel Vehicles in Road Network
    HAO Yan-zhao, SHAO Chun-fu, YU Lei,SONG Guo-hua,XU Yao-fang
    2010, 10(5): 123-129 . 
    Abstract ( )   PDF (1233KB) ( )  
    Real-world fuel consumption, emission, and driving activity data from heavy-duty diesel vehicles (HDDVs) were collected using the portable emission measurement system (PEMS) in the road network of Beijing. Then, the fuel consumption and emission characteristics were analyzed at microscopic, mesoscopic as well as macroscopic levels. The analysis results on driving behaviors showed that the driving time was mainly distributed in low and middle-speed bins, 〖JP2〗the driving mileage was mainly located in middle-speed bins, and the driving time and mileage under cruise mode accounted for the highest proportion. The analysis results on fuel consumption and emission characteristics showed that the average level of fuel consumption was 18.6 L/100 km, the average emission factors of NOx and PM were 4.63 g/km and 0.087 g/km for HDDVs that met the Euro III standard. At the microscopic level, driving at high-speed and acceleration is associated with the instantaneous high fuel consumption and emission rates. At the mesoscopic level, idling or driving at low-speed was the main reason of high fuel consumption and emission factors. At the macroscopic level, driving mileage was a significant influencing factor for total fuel consumption and emissions.
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    Identifying Safety Factors on Expressway Work Zone Based on DEMATEL and ISM
    WU Biao,XU Hong-guo,DAI Tong-yan
    2010, 10(5): 130-136 . 
    Abstract ( )   PDF (792KB) ( )  
    To improve traffic safety levels in expressway work zone, a method is proposed to identify and analyze the influencing factors based on the integration of DEMATEL and ISM. The factors indices system of expressway work zone safety is established according to the system theory of driver-vehicle-road and environment. The interrelations among each pair of indices are determined with the Delphi method. A multilevel step-up structural model on the factors influencing expressway work zone safety is developed by integrating the DEMATEL and the ISM. In terms of the result of this hierarchical modeling, the key factors on expressway work zone safety are presented including driver dynamic decision-making, speeding, speed limit, work zone traffic volume, and safety devices layout. It is shown that the method based on integrating the DEMATEL and the ISM is practical and feasible to quantitatively analyze the safety factors on expressway work zone.
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    Empty Container Reposition and Inventory Optimization of Container Liner Shipping
    WANG Chuan-xu,JIANG Liang-kui
    2010, 10(5): 137-143 . 
    Abstract ( )   PDF (798KB) ( )  
    The paper focuses on the optimizing problem of different types of empty container reposition and inventory in the container liner shipping network with multiple origin ports, multiple intermediate ports, and multiple destination ports. It proposes a mixed integer linear programming model to determine the optimal allocation of different types of container among different shipping schedules and optimal inventory level at different ports. The simplified form of the proposed model is presented by deriving the formulations for the total average empty container inventory over time at the origin ports and destination ports. Finally, a numerical example is given to demonstrate the effectiveness of the model.
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    Complexity Analysis of Rail Freight Traffic
    JIANG Yang,SUN Hui-jun, WU Jian-jun
    2010, 10(5): 144-148 . 
    Abstract ( )   PDF (688KB) ( )  
    Based on the freight volume in 281 cities of China, the paper investigates the statistical law of freight distribution and the relationships of the city’s annual freight volume and the GDP growth. It is found that the distribution of freight volume follows the power-law form. Additionally, the paper proposes a method to map the freight volume with a complex network topology, establishes directed complex networks including information of freight terminals and rail freight traffic and calculates the static statistical characteristics. In this process, the threshold method is used to produce different network. The results show that different thresholds generate the scale-free and small-world network, which provides a new way to analyze the complexity of the rail freight traffic and the importance of the freight terminal in the network.
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    Freight Volume Forecasting of Railway Container Based on Model Combination
    ZHU Chang-feng
    2010, 10(5): 149-153 . 
    Abstract ( )   PDF (637KB) ( )  
    With the characteristic of multiple factor and nolinear on freight volume forecasting of railway container, primary influencing factor of container freight volume are selected with gray association analysis in this paper. Freight volume forecasting of railway container model is put forward based on nolinear gray model and neural net model. The results of nolinear gray model are used as inputs and the actual freight volume is used as outputs. Then, a neural network was built and corresponding algorithm is designed. Finally, a case study is carried out to prove the validity, objectivity, and applicability of this model through calculated and analyzed practical data. From the test results, it is shown that maximum error of nolinear gray model is 10.52%, and maximum error of combination forecasting model is 8.72%. The nolinear gray forecasting model provides good input data sequences, and the relationships of indices are involved in the neural network.
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    Reasonable Scale Foresting of Regional Highway Network Based on BPNN-MOP
    SHI Liang-qing,ZHOU Wei, LIU Yi,YIN Xi-hui
    2010, 10(5): 154-160 . 
    Abstract ( )   PDF (871KB) ( )  
    The scale of the regional highway network is the basis of traffic supply determination, and whether it is reasonable or not has strong relaptionships with the balance between traffic supply and demand. Considering the length, density, and hierarchical structure of highway network, the paper first develops the predicted model based on the BP neural networks and Markov chains. Then, a multi-objective programming model is used to define the optimum structural of highway. The method can fully describe the macro and micro fluctuation laws of highway network scale evolution, and improve the prediction accuracy and reliability as well. Finally, this paper estimates the highway scale and reasonable hierarchical structure in case of one province for the year of 2010, 2015, and 2020. The results prove that the model has high accuracy and reasonableness and have some theoretical and practical significance.
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    Queuing with the Affection of Buses Based on Traffic Wave Theory
    GUAN Zhen,WEI Li-ying
    2010, 10(5): 161-166 . 
    Abstract ( )   PDF (888KB) ( )  
    The process of queuing on a single carriageway under the affection of the buses is mainly studied with the traffic wave theory as the guidance and the signalized intersection as the analysis object. By introducing and statistically analyzing the use of saturated-headways between vehicles of different types with the characteristics of the mixed traffic, the transmissions of the traffic wave during the signal cycles is described to explore the variation laws of the average saturated-headway and density of dissipation and improve the traditional models. Based on the survey and computation in MATLAB, the calibration and validation of the model are conducted as well as relevant evaluation indexes and variations are obtained, with consideration of the actual traffic conditions at the Sidaokou signalized intersection of Beijing city. The study finds that the traffic wave theory has strong applicability in the queuing analysis of the bus-car mixed traffic flows and the research on variations of the saturated-headways is conducive to portray the process of the transmission behaviors of the traffic waves while queuing more accurately.
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    Air Passenger Flow Structure Analysis with Network View
    DANG Ya-ru, LI Wen-jing
    2010, 10(5): 167-174 . 
    Abstract ( )   PDF (1245KB) ( )  
    The structure diagrams of air passenger flow network of China are plotted with NetDraw. From the perspective of structural characteristics, statistic characteristics, degree distribution, and network centrality, the paper analyzes the structure of air passenger flow in China from the year 2002 to 2008 using theory and methods of network. It provides quantitative reference and theoretical support for the development of air passenger transport of China. Results show that a city averagely has direct air links with other 12 cities and any city can be reached by transferring for 1.3 times in the network. A short average path length (about 2.3) and a high degree of clustering (above 0.7) shows that the network has the characteristic of small-world. The cumulative degree distribution obeys the two-regime power law which demonstrates the property of scale-free. The density of the network is extremely small and centrality is low. The development of air passenger network of China is un-balanced, showing a weight east and light west pattern.
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    Design of Uncapacitated Hub-and-Spoke Logistics Networks with Single Allocation
    CUI Xiao-yan, LI Xu-hong, MAO Hai-jun, ZHANG Yong, YANG Ping-le
    2010, 10(5): 175-181 . 
    Abstract ( )   PDF (974KB) ( )  
    In this paper, an uncapacitated single allocation p-hub median model is developed considering the characters of the uncapacitated hub-and-spoke logistics networks. A heuristic algorithm based on ant colony system is presented to solve the mathematic formulation. The ant colony system is applied to locate the hub nodes, and then a heuristics algorithm is used to assign the non-hub nodes to the hub nodes. Meanwhile, a variable neighborhood search algorithm with six neighborhood structures is implemented as the local search procedure for the ant colony system to improve the overall search ability of this algorithm and speed up the convergence process. Finally, a computational experiment is performed with the AP data set, and a test is carried out for the reasonable selection of the parameters in ant colony system. The experimental results indicate the algorithm is feasible to the problem and has good efficiency in finding the optimization solution.
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    Influence of Bus Route on Two-Lane Traffic Flow
    LI Xiao-xue, JIA Bin, LI Xin-gang
    2010, 10(5): 182-187 . 
    Abstract ( )   PDF (940KB) ( )  
    In this paper, a two-lane system with bus route is studied by a cellular automata model. The evolution characteristics and the operational efficiency are analyzed by plotting the fundamental diagram and the vehicle occupancy on the right lane (nearside lane). The two types of bus stops, namely, non-harbor shaped and harbor shaped, are considered, and the merits of the two types of bus stop are compared. The simulation results show that there are four density regions with different evolution dynamics of traffic flow; The maximum flow is decreased with the number of buses increasing. The bus route with harbor-shaped stop exerts less affects to the traffic flow and its maximum flow is higher than the bus route with non-harbor-shaped stop.
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    Cases Analysis
    Park and Ride Behaviors for Non-Local Private Car Travelers in Big Events
    XIONG Ping
    2010, 10(5): 188-193 . 
    Abstract ( )   PDF (824KB) ( )  
    During big events, non-local private car travelers can be divided into two types which were returning in one day and in a few days. Focusing on the travelers returning in a few days, the paper analyzed the traveling attributes and requirements for P & R. A P & R choice behavior disaggregated model was established and calibrated based on random utility theory. The model concludes three variables, which were in-vehicle time of P & R transit, diversity of parking fee, and comprehensive attractiveness index for suburban satellite towns comparing to inner city. The results revealed that the planning and policy of P & R for travelers returning in a few days should take more consideration on the requirements of the whole traveling chain. The key point is increasing the attractiveness of suburban satellite towns. The suggestion of establishing P & R system combining hotels at suburb has been put forward.
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    Reliability Analysis of Guangzhou Rail Transit with Complex Network Theory
    LIU Zhi-qian, SONG Rui
    2010, 10(5): 194-200 . 
    Abstract ( )   PDF (932KB) ( )  
    Urban rail transit network can be regarded as a complex network consisting of stations and lines. Exploring connectivity of rail transit network by complex network theory has certain significance on its accessibility and operation efficiency improvement. Topology of Guangzhou rail transit network was made by space L method, and the value and distribution of the network’s degree, clustering coefficient, and average shortest way length are then computed and analyzed. The influencing degree and reliability of the network are discussed under the situation that the transfer station with malfunction. The results indicate that a random-network characteristic is shown by the current rail transit of Guangzhou, and the malfunction of transfer stations significantly influences the long distance trip, which decreases the passenger attraction of the rail transit. With the malfunction of a transfer station, the overall efficiency of Guangzhou rail transit network is reduced, the local efficiency stays the same, while most of the stations have weaker connectivity.
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    Airlines Customer Satisfaction Testing Model and Case Study
    MAO Man, ZHU Jin-fu
    2010, 10(5): 201-207 . 
    Abstract ( )   PDF (936KB) ( )  
    Customers have become the most important resources to the airlines with the increasingly intense competition in air transportation market. Thus, how to improve customer satisfaction and loyalty is the key to success for airlines. Based on the customer satisfaction model ACSI and ECSI, the paper develops the airline customer satisfaction model and designs the customer satisfaction questionnaire, and then analyzes them with the structure equation model; In the context of air transportation, two variables are replaced by a new one: perceived service quality, which makes the testing model more practical and targeted. Through analysis of the collected data, a conclusion is drawn that the perceived service quality has the greatest impact on customer satisfaction, followed by the corporate identity, which points a direction of strategy adjustment to the airlines.
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