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    25 October 2017, Volume 17 Issue 5 Previous Issue    Next Issue

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    Theory, Method and Practice of External Economy Benefit of Traffic and the Belt and Road
    PENG Hong-qin,ZHANG Guo-wu
    2017, 17(5): 1-8. 
    Abstract ( )   PDF (1216KB) ( )  

    Mass construction of traffic infrastructure can rebuild the economic geography of China and the world, and realize harmonious development among regions, and also is the necessary choice through the transition from a traffic big country to a traffic powerful country in the world. A perfect transportation system in domestic and international can enhance China's international strategic status, and form the capability of international resources agglomeration. The planning and construction of integrated transportation system urgently need the higher- level law that can embody the basic frame of traffic policy, and to promote the realization of equalization of basic public service. It plays an important guiding role in the planning and construction of transportation system that systematic and perfect theory and method of external economic benefit of traffic.

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    Suburban Railway Combination Pricing Method under Maximizing Revenue
    HUANGWen-cheng, SHUAI Bin,ZHANG Qin-yu, LI Ting, HE Xiao-feng
    2017, 17(5): 9-15. 
    Abstract ( )   PDF (1433KB) ( )  

    To obtain the best suburban railway combination pricing method, we use SPSS to fit the function between the passenger fares and passenger number. We control the tickets discount to get the corresponding passenger number, and establish a suburban railway combination pricing comparison model based on maximizing revenue. The historical data of Chengdu-Dujiangyan suburban railway line is applied to test the established model. The pricing combination conditions including: during working days and holidays, under different time period and passengers' age. The results show: appropriate fare discounts during low peak hours, no discount or a higher tickets charging during peak hours is the best combination pricing method for working days; appropriate fare discounts or no discounts during low peak hours, no discount or a higher tickets charging during peak hours is the best combination pricing method for working days; and discounts for the passengers who are under the age of 18 and 56 years of age or older, increasing passenger fares for [18,56) years old passengers, is the best combination pricing when considering the passengers’age.

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    Relationship between Governance Development Models and Operational Efficiency of Urban Rail Transit
    ZHANG Jian-han
    2017, 17(5): 16-21. 
    Abstract ( )   PDF (1438KB) ( )  

    Influenced by the rapid development of a new type urbanization path which is intensive, smart, green and low-carbon, many cities in China are striving to develop urban rail transit systems (URTS). It is critical that URTS are concerned with their operational efficiency and the governance development models within which they are developed have a profound impact upon their process of operation. This paper outlines the corporatization model and the Public- Private Partnership (PPP) within which URTS in many cities in China are developed. In the analysis of operational efficiency, the social benefits of URTS are involved, the calculation models of URTS social benefits are presented. The relationship between governance development models and operational efficiency of several urban rail transit lines is analyzed through the application of data envelopment analysis (DEA). By the comparative analysis of operational efficiency of several urban rail transit lines in Beijing, it indicates that, the social benefit is an important indicator to evaluate the operational efficiency of URTS; comparing with the corporatization model which has been predominant in China, PPP has a positive impact upon the improvement of operational efficiency.

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    Impacts of Social Network Media on Departure Time Choice Behavior
    ZHANG Zhao-ze,HUANG Hai-jun
    2017, 17(5): 22-28. 
    Abstract ( )   PDF (1826KB) ( )  

    As social media and location- aware mobile devices are widespread,travelers not only consult travel experience and information from other people,but also share their information by the platform. This media tool provides a new way for reference. The accuracy of information has influence on individual behavior and system performance. This paper employs the Bayesian learning mechanism to simulate the individual dynamic learning of departure timing within one day and day-by-day. The Agent-based method is used. Different schemes,namely no information,inaccuracy information and accuracy information are investigated and compared. Results show that the proposed model could depict travelers’timing behavior and evaluate the system performance caused by different schemes.

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    The Combinatorial Optimization Model Research of Congestion Pricing and Signal Control
    CHEN Zhao-meng, WUWen-xiang, LIU Xiao-ming, TANG Shao-hu
    2017, 17(5): 29-35. 
    Abstract ( )   PDF (1768KB) ( )  

    Based on the urban road with bus lane, in order to improve road capacity under the traffic supersaturation state, allowing private cars to enter the bus lane in charge mode to ease traffic jams. The model of traffic signal control is established based on congestion charging. The model calculates the travel time of the bus lanes and normal lanes as well as the associated overall queuing delay of intersection, and sets up a critical density of bus lanes. The model makes all lanes of travel time and intersection queue time shortest in guarantee under the premise of bus lanes of traffic service level. Finally, genetic algorithm and VISSIM simulation are used to solve the model. The results show the effectiveness of lane congestion pricing and signal control combinatorial optimization model, and it reduces vehicle queuing delays.

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    Traffic Flow on Entrance Lanes under the Influence of Signal Countdown
    MAXin-Lu, LI Bei, XU Chen-Lei
    2017, 17(5): 36-44. 
    Abstract ( )   PDF (2629KB) ( )  

    In order to reveal effects of a signal counting- down on driving decision making, the paper analyzes characteristics of vehicle speed distribution on different cross sections of entrance lanes with signal control based on measured data. Research results show that characteristics of vehicle running at different cross sections near the stop line are different due to effects of with or without signal countdown and residual green time. The paper proposes a cellular automation model of driving mentality with consideration of signal counting- down and analyzes the action mechanism of microscopic driving mentality and behavioral responses on mesoscopic traffic flow under different time- space conditions (position, vehicle speed and residual time). Results show that characteristics of vehicle running on urban entrance roads under signal lamp control could be described by the model effectively.

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    Improved Road Detection Algorithm Based on Illuminant Invariant
    DU Kai, SONG Yong-chao, JU Yong-feng, YAO Jie-ru, FANG Jian-wu, BAO Xu
    2017, 17(5): 45-52. 
    Abstract ( )   PDF (2952KB) ( )  

    Aiming at the problems that most road detection methods are sensitive to variation of illumination and shadow, which lead to false detection or leak detection, improved road detection algorithm based on illumination invariant is proposed. First, the thesis transformed RGB space of road images into logchromaticity space by geometric mean. And then, according to Shannon entropy, camera angle θ of axis calibration is determined. Using Chebyshev’s theory, it removed singular value of θ and got illumination invariant images Iθ . Besides, some sampling points of road are extracted by a random sampling, which include standard sample points and referenced sample points. Finally, a confidence interval classifier of road is established, which could detect road area. The experimental results show that the proposed algorithm not only can effectively eliminate the influence of illuminant variance and shadows on road detection, but also can guarantee high detection precision and real-time requirements.

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    An Urban Traffic Image Enhancement Method Based on Modified Retinex
    WANG Feng-ping,WANG Wei-xing, YANG Nan, SUI Li-chun
    2017, 17(5): 53-59. 
    Abstract ( )   PDF (2986KB) ( )  

    In order to improve the contrast and clarity of the urban traffic image obtained under haze weather condition, a modified Retinex image enhancement method based on guided filtering constraint and fraction integral is proposed in this paper. According to the Retinex theory, an image can be regarded as the product of the illumination component and the reflection component. Firstly, the guided filtering is applied as the smoothness constraint of the objective function of the Retinex algorithm, and the illumination component is obtained by minimizing the objective function; then, the fractional integral mask is used to remove noise and preserve detailed information of the reflection component, which is acquired using the ratio between original image and illumination component; At last, the final enhanced image is the product of the illumination component and the processed reflection component. The experimental results show that the proposed method could keep a good balance in image smoothing and detailed information preserving, improve the contrast and clarity of the highway traffic image, and make the enhanced image more natural.

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    Forecasting of Effective Parking Space Based on Grey-distributed Wavelet Neural Network Model
    HAN Yin, ZHENG Zhe, ZHAO Jing, LIU Cai-yun
    2017, 17(5): 60-67. 
    Abstract ( )   PDF (1332KB) ( )  

    Aiming the variation characteristics of the effective parking space, a combination model based on the grey single factor forecast model and the wavelet neural network model is proposed to forecast the effective parking space. Firstly, the effective parking space time series are revised through the grey single factor forecast model in order to reduce the random fluctuation. Then the data is input in the distributed wavelet neural network model and corrected though the Markov Chain forecast model to get the finial forecast results. The prediction accuracy, stability, fitting degree, and training time of the proposed model are evaluated by a case study. Results show that the proposed model can reduce the variation interference of the initial data. Comparing with the traditional neural network, the proposed model could reduce the error fluctuation 10%~19%, increase the stability 27%~33%, improve the fitting degree 10%~15% improved, and has higher accuracy.

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    Short-term Traffic Flow Prediction Based on CNN-SVR Hybrid Deep Learning Model
    LUOWen-hui, DONG Bao-tian,WANG Ze-sheng
    2017, 17(5): 68-74. 
    Abstract ( )   PDF (2015KB) ( )  

    It is very important for intelligent transportation development to realize accurate and fast traffic forecast. However, dominant models for short- term traffic flow forecasting can't extract spatial- temporal characteristics of traffic flow data amply. Moreover, these models are susceptible to outside factors. To resolve these problems, an innovative model based on deep learning is proposed in this paper. Convolutional Neural Network(CNN) and Support Vector Regression(SVR) classifier are combined in this model: feature learning of traffic flow is carried out by using CNN in underlying network, then the extracted results are transmitted to SVR model as input to predict traffic flow. To verify the validity of the proposed model, experiments are conducted on actual traffic flow data of China national highway 103(G103). Experimental results show that the proposed model has higher prediction accuracy than the traditional prediction model, and the prediction performance is improved by 11%, which is an effective traffic flow forecasting model.

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    Vehicle Energy Consumption at Oversaturated Intersection Using Fixed Number Theory
    ZHAO Hong-xing, HE Rui-chun, JIA Fu-qiang
    2017, 17(5): 75-81. 
    Abstract ( )   PDF (1295KB) ( )  

    Aiming at the problem of high energy consumption of vehicles at oversaturated signalized intersection, taking oversaturated traffic state of signalized intersection as the research period, the queue length, the number of stops and the time of pass through are analyzed by using the fixed number theory. It is determined that the vehicle travel time of deceleration, idle speed, acceleration and constant speed at signalized intersections. According to the vehicle energy consumption rate under different working conditions, the average energy consumption model for all vehicles at oversaturated intersection of the first stop to the stop line is established. In order to verify the accuracy of the model, taking a two phase oversaturated signalized intersection as an example, and the proposed model is used to calculate the vehicle energy consumption under different traffic flow. Then the calculation results of the proposed model are compared with the results of VISSIM simulation. The result shows that the model is reasonable for research vehicle energy consumption at the oversaturated signalized intersection. At the same time, this paper analyzes the signal timing influence on vehicle energy consumption at oversaturated intersection based on the model. It is shown that optimal timing parameters are of great significance for the vehicle energy saving at oversaturated signalized intersections.

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    Modeling and Simulation for Trains Control in Urban Rail Transit
    XU Yi
    2017, 17(5): 82-88. 
    Abstract ( )   PDF (1501KB) ( )  

    The application of train control system effectively improves the operational efficiency of urban rail transit. While traditional calculation methods for train traction is quite difficult to meet the simulation precision in the implementation of train control due to lacking of related technical parameters and without consideration of the effect from train control system. A train control simulation model based on energy conservation is then proposed in this paper mainly considering the constraints from signaling systems and focusing on the accelerating and decelerating features of trains and velocity control strategy. The function and flowchart for the proposed simulation model are given before it is implemented. The case studies for a real urban rail transit line are carried out to verify the simulation precision and practicality of the proposed model by comparing with the results from an existing general-purpose simulation system.

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    Traffic Congestion Induced by Vehicle Energy Recharging with Cellular Automata Model
    LV Qi-guang, XU Mao-zeng, XU Guang-can, LIU Yong, ZHOU Xiang
    2017, 17(5): 89-96. 
    Abstract ( )   PDF (2577KB) ( )  

    The emerging of vehicle energy demand, which is stochastic both in space and time, may cluster at recharging station and influence the traffic flow. Therefore, this paper analyzes the characters of vehicle on driving or recharging, and presents a recharging station cellular automata model with open boundary conditions in which the recharging station is regarded as a multi-server queuing system. The results of model experiment show that: (1) the model can simulate the vehicle energy recharging process in a station; (2) Vehicle energy recharging would induce traffic congestion, and which became serious with increased demands; (3) The boundary conditions of traffic congestion induced by demand cluster can be found by results analysis, and the necessity of the demand guidance is verified by comparative analyses of boundary conditions in deferent cluster degree.

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    Dynamic Reliability of Day-to-day Network under Incident
    CHEN Ling-juan,WANG Dian-hai, LIU Ling-li
    2017, 17(5): 98-103. 
    Abstract ( )   PDF (1956KB) ( )  

    In order to describe road network performance during long-term traffic incident, a route choice model and a reliability calculation model are built for day- to- day network. First, with the principle of maximizing the probability of on-time arrival, the distribution of total flow on all paths is adjusted day by day, and with the goal of maximizing the path cumulative prospect, the distribution of flow on single path at every departure time is calculated. The travel choice model on day-to-day network is established based on considering departure time choice. Second, on-time arrival reliability of departure time and travel time reliability of chosen path is defined and calculated. Finally, an example is adopted to verify the model and algorithm. And a comparison for flow distribution and network reliability is made between considering and non-considering reliability for travel choice.

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    Boundary Control Model of Decision Making for Traffic State Transition Risk of MFD Sub-region
    DING Heng, ZHU Liang-yuan, JIANG Cheng-bin, YUAN Han-yu
    2017, 17(5): 104-111. 
    Abstract ( )   PDF (1806KB) ( )  

    According to the distribution of road network traffic status, the decision of traffic state transition risk is an important basis for sub-region traffic guidance and control. The macroscopic fundamental diagram (MFD) can effectively describes the macroscopic characteristics of the road network without needs the complex OD data, which provides an opportunity to solve the decision problem. Therefore, regard the characteristics of MFD as the basis and consider the influence of the driver's route decision on the traffic state of the sub- regions under the guidance and control conditions, a risk decision model is established to control the traffic state risk and cost of the MFD sub- regions. The decision model takes the maximum completion rate and minimum total travel time as constrains according to the fuzzy risk management model, and is solved by the ALRS algorithm. Simulation results show that the model can effectively improve the efficiency of control and guidance, and maintain the real-time and effectiveness of traffic control in the case of a sudden incident.

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    Improved Macroscopic Traffic Flow Model Considering Intersection Blocking and Vehicle Lane Changing
    YAN Xiao-wen, XU Jian-min, JING Bin-bin,WANG Yu-jun
    2017, 17(5): 112-121. 
    Abstract ( )   PDF (2280KB) ( )  

    An improved macroscopic traffic flow model is proposed considering the influence of vehicle lane changing and vehicle blocking. Firstly, a lane changing model is established considering different speed and density in different lanes. Then, through dividing vehicle accumulation path of queuing, the impact of different queue spill locations on the other flows is described. And an improved model is established based on the lane changing phenomenon and vehicle blocking effect. Finally, a simulation experiment is carried out to verify the effectiveness of the model. The results show that the value of output flow from simulation is basically consistent with the calculated results under three different flow demands. And the model can precisely simulate the impact of downstream queuing overflow on other traffic flows under high traffic demand, thus confirming the accuracy of the improved model.

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    Path Choosing Algorithm Based on Travel Time under Stochastic Time-varying Characteristics
    YANG Ling-min, SHE Ri-hui, WANG Hong, ZHU Shun-ying
    2017, 17(5): 122-128. 
    Abstract ( )   PDF (1694KB) ( )  

    Based on the road traffic flow data of Nanjing City, this paper analyzed and summarized the actual stochastic time-varying characteristics of travel time of road segment, and draw a conclusion that the stochastic time- varying characteristics adopted by most current researches are inconsistent with the actual characteristics of the real traffic flow. This paper then demonstrated with counterexamples that the current adaptive routing policies is invalid in solving the shortest travel time problem under the actual characteristics of the real traffic flow. According to the stochastic and time independent characteristics of traffic flow during a certain traffic mode and the fact that the exact probability distribution of the current travel time of each road segment is difficult to know, this paper proposes a path selection algorithm which based on the k- th shortest expected travel time paths derived from historic probability distribution, incorporating risk measurement and the influences of current traffic status.

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    A Method of Discrete Traffic State Identification Based on Deep Learning
    WU Zhi-yong, DING Xiang-qian, JU Chuan-xiang
    2017, 17(5): 129-136. 
    Abstract ( )   PDF (2045KB) ( )  

    In the intelligent transportation signal control and traffic flow guidance system, effective identification of the traffic state of the environment is a prerequisite for traffic control. Facing large scale of traffic data sets, this paper proposes a identification method of discrete traffic state based on deep learning. The system architecture include four parts of traffic state data acquisition, data description, deep learning and identification. A discrete traffic state encoding method is proposed which provide the base for deep learning of traffic state. In the phase of model training, two deep belief networks including TEDBN and TVDBN are constructed and trained for features learning with the traffic state data of binary value and continuous value. In the phase of model fine- tuning, a softmax classifier is added on the top of all high- level abstraction features, and the back- propagation algorithm is used to fine tune the parameters. At last, the method is validated on the VISSIM simulation software. The experimental results show that the method of discrete traffic state encoding can effectively express the traffic state, and the identification method based on deep learning has higher accuracy than the traditional method on the traffic state.

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    Modeling and Analyzing the Integrated Transit System across the Jurisdictional Borders
    DU Hao-ming,REN Hua-ling,ZHU Zhi-hong
    2017, 17(5): 137-143. 
    Abstract ( )   PDF (1518KB) ( )  

    With the development of regional economic integration, the cooperation and integration between the regional public transport systems have been paid more and more attention. This paper proposes a bi-level programming model to describe a kind of integrated transit system across the jurisdictional borders in China. In the upper level problem, the local transit authorities in adjacent regions cooperatively plan and manage the inter-region transit lines, with an objective of maximizing the social welfare. In the lower level problem, the local transit operators in these regions open their local transit markets to each other and jointly operate the inter- region transit lines. They compete with each other to maximize their own profits. In order to obtain more accurate analysis results, the proposed model explicitly consider the stop congestion cost and in-vehicle crowding discomfort cost of the passengers. Numerical studies show that the transit authorities can guide the competitive behaviors of the operators, and then improve the benefits of all participants in the cross-border transit system.

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    Optimization of Parking Sharing Scheme Considering User Conflict
    LI Tao, GUAN Hong-zhi
    2017, 17(5): 144-150. 
    Abstract ( )   PDF (1439KB) ( )  

    With the rapid increase of vehicle population and land shortage of urban center, parking problem becomes an integral part of transportation planning and management. Due to out of work, many residential areas of private parking spaces are in idle state during day time. These vacant parking spaces can be effectively used by parking sharing to meet the parking demand of nearby work, shopping or other activities of drivers. However, the implementation of parking sharing must solve a problem, that is, the conflict between the provider and the user. This paper focuses on how to implement the parking sharing, so that in the case of conflict avoidance parking managers gain the most.

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    Traffic Influence Degree of Urban Traffic Emergency Based on Water Wave Principle
    HE Ya-qin, RONG Yu-lun, LIU Zu-peng, DU Sheng-pin
    2017, 17(5): 151-156. 
    Abstract ( )   PDF (1709KB) ( )  

    Analysis of traffic influence degree of urban emergency has important theoretic significance and realistic value for adopting corresponding traffic emergency countermeasures. In this paper, based on water wave principle, traffic influence of urban emergency is considered as the effect of throwing a stone into water. Traffic impact coefficient is proposed and can be defined to represent the traffic influence degree of emergency. Concept of accumulative traffic impact coefficient is introduced and the theory model is established using double integral, which can be used to evaluate the comprehensive influence degree on surrounding road network. Taking a traffic accident as an example, time-space distribution diagram of traffic impact coefficient is obtained based on data filtering and sorting. According the characteristics of variation curve of traffic impact coefficient by time and distance, the relationship model among traffic impact coefficient, time and distance is established using MATLAB. Finally, the calculated value of comprehensive influence degree is 0.466 7, which means that this accident brings a great influence on surrounding traffic system.

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    Strategy of Dynamic Slot Allocation for Railway Freight Trains with Demand Diversion
    XU Ling,JIANGWen-hui,LI Yan-lai,DING Xiao-dong
    2017, 17(5): 157-165. 
    Abstract ( )   PDF (1687KB) ( )  

    Based on revenue management, the dynamic slot control model for railway freight trains is established based on discrete time, considering customer demand transfer and multiple slot bookings behavior. And we point out that there is at least one (if it exits) reservation request accept/reject threshold points at each decision stage. In the meantime, we constructe the two sets of interval sequences using the threshold points of each types slot, and then we establish the reservation request accept/reject policy for each set of interval sequences. In addition, we also prove that the properties of expected revenue function and the monotonicity of the threshold points with respect to demand transfer rate. Finally, the feasibility of the optimal slot control strategy and the correctness of the relevant properties are verified by three sets of simulation experiments.

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    Short-term Origin-destination Estimation for Urban Rail Transit Based on Multiple Temporal Scales
    CHEN Zhi-jie,MAO Bao-hua,BAI Yun,XU Qi,ZHANG Tong
    2017, 17(5): 166-172. 
    Abstract ( )   PDF (1646KB) ( )  

    To estimate the destinations of the entrance passenger flows at urban rail transit stations in each 15 minutes at rush hours, based on state-space models, a multi-model composition approach of short-term origin- destination estimation is proposed. Firstly, the split rates of the entrance passenger flows under different temporal scales are used as the state variables for the composition model. Then the split rates of the commuter entrance passenger flows are estimated based on the historical data. Secondly, the results of the estimated split rates under different temporal scales are weightily fused by the interacting multiple model algorithm. The research of the Beijing subway demonstrates that the average and maximum estimation errors of the split rates at morning rush hours are 16.4% and 21.8% respectively. And those of evening rush hours are 22.7% and 24.6% respectively. The result reduces the estimation errors by nearly one half in comparison with those in present literatures. The results of this paper can provide more accurate input data for the realtime prediction of network traffic distribution to assist the management agency in implementing the early warning and emergency response system on mass passenger flows.

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    Timetable Transfer-coordination Optimization Based on Transit Data Mining
    LUO Xiao-ling, JIANG Yang-sheng
    2017, 17(5): 173-178. 
    Abstract ( )   PDF (1550KB) ( )  

    The existing timetable is extract and optimized through exploiting the data of IC card and vehicle GPS to coordinate the transfer and save the transfer time. First, the model of data mining for transit data is proposed to obtain the existing transit operation information. And then, a neighborhood search algorithm is developed to optimize the timetable and get the best solution. The real data for two routes in Chengdu with the label of 56 and 3 are introduced to test the proposed method. The result shows that existing timetable can be optimized to coordinate the transfer without any change for the exiting supply and demand scenario, which indicates that the optimized transit service is more conform to the practical travel demand, which can lift the efficiency of transfer and improve the transit service level.

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    A Temporal and Spatial Model of Congestion Propagation and Dissipation on Expressway Caused by Traffic Incidents
    ZANG Jin-rui, SONG Guo-hua, WAN Tao, GAO Yong, FEIWen-peng, YU Lei
    2017, 17(5): 179-185. 
    Abstract ( )   PDF (1723KB) ( )  

    A model is developed to depict the spatial and temporal characteristics of congestion propagation under a traffic incident. The congestion propagates from the incident sections to upstream at an initial speed and it dissipates when the congestion boundary gets maximal. According to quantitative analysis, a timevariant model of congestion propagation speed is proposed. Then the parameters of the model is fixed based the data. Finally, the spreading and dissipation of the congestion under different conditions are investigated using the model. It is proved that the model can predict the boundary and time of congestion under traffic incident. It is helpful the management of congestion.

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    Model and Index of Chinese Dry Bulk Shipping Prosperity Monitoring and Alerting
    ZHOU De-quan, ZHEN Hong
    2017, 17(5): 186-192. 
    Abstract ( )   PDF (1424KB) ( )  

    Based on the brief analysis of the developing trend and main influencing factors of the dry bulk shipping market, the Delphi, time difference correlation analysis, KL information method and experience are comprehensively applied to establish the monitoring and early warning index system both in the Chinese dry bulk cargo shipping market environment and Chinese dry bulk shipping enterprises. In the meantime, t test, comprehensive evaluation method, the composite index method, diffusion index measure and other analysis methods are also used to respectively set up the monitor warning model and forecast warning model both in the Chinese dry bulk shipping market environment and Chinese dry bulk shipping enterprises. Verifying the model when inputting historical data, the analysis result shows that Chinese dry bulk shipping market has a risk of partial cold, which can hardly be recovered in the short term. While the dry bulk shipping enterprises are facing the great risk of going bankrupt after suffer of a long-time considerable loss.

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    Multi-objective Allocation of Anchorage-berth Resources at Inland River Container Port
    LIU Ming-wu,FENG Xin-ying,WANG Yong
    2017, 17(5): 193-199. 
    Abstract ( )   PDF (1522KB) ( )  

    The anchorage-berth allocation directly affect the operational efficiency of the inland river container port and are constrained by the inland waterway and shoreline facilities resources. This paper considers the safety of the ship navigation safety and adopts random service theory. A multi- objective nonlinear programming model of the inland river container port anchorage-berth allocation is setup. An integer and real code genetic algorithm is introduced for nonlinear integer programming problem. The effectiveness of the model and algorithm are checked by numerical example of one container port in Chongqing. The optimal allocation between the anchorage-berth under different vessel arrival intensity and berth service intensity is also investigated. It provides theoretical basis to establish and expand the inland river container port resources optimization and configuration theory.

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    Allocation of Transport Capacity Resources during the Peak Hour on High-speed Railway
    LIU Pei, HAN Bao-ming,WANG Song-tao, LIUWei-can
    2017, 17(5): 200-206. 
    Abstract ( )   PDF (2439KB) ( )  

    Due to high capacity utilization during the peak hour on confluence sections of high- speed railway, an allocation model of transport capacity resources is proposed based on train paths in time-space graph. In the model, headway in stations changes with movement status and operation speed of adjacent trains and stations. Meanwhile, as an input of model, headway in sections and stations are accurate to 1 s. The objective is maximizing the number of trains operated and trains with less stops are organized preferentially. Branch and bound algorithm is used to solve the model and column generation method is adopted to reduce the scale of the model. A section with 7 stations is taken as an example to verify the effectiveness of the model and algorithm. The results show that the proposed model can improve transport efficiency and meet passenger transportation demand further.

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    Airport Delay Prediction Method Based on Simplified Weather Impacted Traffic Index
    GUO Ye-chen-feng, LI Jie, HU Ming-hua, YUAN Li-gang
    2017, 17(5): 207-213. 
    Abstract ( )   PDF (1770KB) ( )  

    This paper aims at predicting airport delay accurately in the strategic or pre- tactical stage. We introduce the simplified Weather Impacted Traffic Index (WITI), and use grey incidence analysis method to verify the correlation between the WITI and actual airport delay. Then we use WITIs and traditional indexes to develop multiple linear regression model and BP neural network predictive model respectively, and we chose the data of Guangzhou Baiyun International Airport (ZGGG) and Shenzhen Baoan International Airport (ZGSZ) as research samples. According to the result, WITIs are more closely related to airport departure delay than traditional indexes. Furthermore, the predicted accuracy of the multiple linear regression model based on WITIs increases 14.09% (ZGGG) and 9.79% (ZGSZ), compared with the model based on traditional indexes. When the multiple linear regression model was replaced by the BP neural network predictive model, the results increase 8.00% (ZGGG) and 6.41% (ZGSZ) as well. Thus the WITI has a comparatively satisfactory feedback in airport delay forecast.

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    The Optimal Distribution of Air Cargo Transportation Network Based on Accessibility Index
    CHU Yan-ling, YANG Zhong-zhen, FENG Ru-mei
    2017, 17(5): 214-220. 
    Abstract ( )   PDF (1643KB) ( )  

    Civil Aviation Administration controls flights distribution on different segments in China. Based on this fact, this paper tends to optimize distribution of air cargo transportation network by adjusting cargo aircraft flights. The purpose is to effectively allocate air cargo transportation resource and provides decision support for macro-control policy. Aiming to simulate the multi-objective decision process of network design problem, a multi-objective bi-level programming model combined with cargo transportation route selection is proposed to maximize network accessibility and utilization. The model is solved by NSGA-II algorithm and the trade- offs between the objectives are reflected by Pareto optimal solutions. Taking 20 airports in China as an example, air cargo transportation network distribution is analyzed. The results show: (1) A quarter of cargo aircraft flights is distributed to the segments between Beijing, Shanghai, Guangzhou and Shenzhen, which are considered as hub airports in the network. (2) When the decision maker prefers to network accessibility, more cargo aircraft flights should be distributed to segments between hub airports. On the contrary, cargo aircraft flights should be evenly distributed to segments if average network utilization is preferred. (3) If cargo aircraft flights distribution tends to disperse on the segments, the network accessibility will decrease, but the network utilization will increase in the optimized schemas. (4) Reducing the total number of cargo aircraft flights will decrease network accessibility. On the other hand, increasing the total number of cargo aircraft flights will decrease network utilization.

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    Noise Abatement of Cumulative Departure Flights Based on‘Green Flight’
    HU Rong, XU Yue-feng, CHEN Lin, ZHANG Fei-fei, ZHU Hai-bo
    2017, 17(5): 221-227. 
    Abstract ( )   PDF (1936KB) ( )  

    With the quick development of aviation industry, economy grows fast but the noise pollution is increasingly severe. To solve the noise problem around the airport and implement the concept of‘Green Flight’development, the research of departure procedure noise control is carried out in terms of noise reduction procedure and flight adjustment. To calculate noise area and draw the noise counters, Weighted Equivalent Continuous Perceive Noise Level is chosen as evaluation parameter and cumulative event noise evaluation model is applied. Results show that: two kinds of the noise control methods can reduce noise value both, but different noise control methods have their virtues and their faults; we should apply flexibly and avoid weakness in practice.

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    Analysis of Contribution to Urban Economy from Public Transit System Based on the Panel Data
    WEN Xu-li, CHEN Xin
    2017, 17(5): 228-234. 
    Abstract ( )   PDF (1537KB) ( )  

    To quantify the contribution of public transit to urban economy, Three panel data models are set up from three aspects of investment in fixed assets, municipal district population density and population employment, respectively, with public transportation development indicators, Jiangsu province as an example for empirical analysis is investigated. Study shows that public transit can significantly boost urban fixed asset investment, public transit mode at initial development stage should be given priority to enlarge the road network, and at relatively mature stage, the mode should be on the capacity delivery; there is a significant dispersion effect on urban population s for public transit, and only while the urbanization development reaching certain level, the transit passenger volume can have a significant role on urban population spatial distribution; With a more mature public transit development level, the role in promoting employment is higher. Transit capacity does not directly affect the urban employment and the urban population. The subway for the promotion of urban fixed asset investment effect is most obvious, followed by the role of improving employment.

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    Airport Capacity Expansion and Efficiency Change in China Based on Two Stage Analysis of DEA-Tobit/Logit Method
    JING Chong-yi, SONG Hai-jun, SUN Hong
    2017, 17(5): 235-241. 
    Abstract ( )   PDF (1461KB) ( )  

    At the historical period of extensive airport construction, the study on airport capacity expansion and efficiency change has a very important realistic sense. In this paper, the airports operation efficiency is firstly analyzed, and then the driving forces of airport capacity expansion as well as its influence on airport efficiency are analyzed. The result shows that hub airports have higher operation efficiency and lower productivity growth rate than un-hub airports. The driving forces of airport capacity expansion come from two aspects: one is business growth rate, the higher the airport is inclined to expand; another is productivity growth rate (Malmquist index), the lower the airport is inclined to expand. At last, airport capacity expansion could lead to a sharp jump of efficiency, however, it will recover normal level at a short period. These evidences indicate in Chinese airport capacity expansion is reasonable at economical and operational level, and the airport investment strategy of the authorities could be feasible and effective.

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    An Empirical Study on Seven Factors Influencing Waiting Endurance Time of E-bike
    ZHOU Ji-biao,WANG Qun-yan, ZHANG Min-jie, DONG Sheng, ZHANG Shui-chao
    2017, 17(5): 242-249. 
    Abstract ( )   PDF (2337KB) ( )  

    The waiting endurance time (WET) is an important parameter to analyze the electric bicycle (ebike) rider’s unsafe crossing behavior, which is also the important constraint of traffic control at intersection simultaneously. This paper focuses on the e- bikes crossing illegally who arrived at signalized intersection during red-light period. Moreover, the multiple linear regression analysis method and Cox regression method are statistical analyzed for the WET of riders at signalized intersection. The real-time video data of e-bike riders under different influence factors are collected by the Global Eye network video surveillance technology of China Telecom. A total of 57 213 e- bike riders’WET samples were observed in Ningbo, China. The results show that: there is a multiple linear regression relationship between endurance time and 5 influencing factors; seven influences factors are found to have significant impacts on e- bike riders’WET, and the influence degree of weather, crosswalk length and whether have traffic police factors are the maximum, while the travel time and time interval are the minimum; the mean value of e-bike riders’WET is 48.600 s, the standard deviation is 300.341.

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    Reliability Based Optimization of Construction Arrangement for Single Rail Transit Work Zone
    LI Yan,ZHOUWen-hui,NAN Si-rui,CHEN Kuan-min
    2017, 17(5): 250-256. 
    Abstract ( )   PDF (1794KB) ( )  

    A reliability based comprehensive optimization model on work zone form and construction sequence of urban rail transit is established to minimize the influence on road traffic flow. The reliability can then be obtained by calculating the probability when the difference between travel time at the work zone and a specified threshold interval is greater than zero. The reliability models for intersection part and road segment part of the work zone can be established respectively. The efficiency coefficient of the work zone can be defined as the product of reliability and construction duration. The work zone form and construction sequence can be optimized by minimizing the reduction of efficiency coefficient for whole construction cycle using the proposed model. The experimental results on Hanchengnan Rd Station of Xi’an Metro indicate that the reliability of traffic flow at the work zone will change by applying various scenarios of work zone form and construction sequence. The conclusions can provide theoretical basis on formulation of construction arrangement of urban rail transit.

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