Information
Edited & Published: Editorial Office of Journal of Dalian Jiaotong University
Publication Period: Bimonthly
Publisher: Dalian, Liaoning Province, China
Language: Chinese
Superintendent: Liaoning Provincial Department of Education
Sponsored by: Dalian Jiaotong University
Editor in Chief: Chen Bingzhi
Executive Editor in Chief: Guo Ruijun
China National unified serial number: CN 21-1550/U
International Standard Serial Number: ISSN 1673-9590
Periodical website: https://dltd.cbpt.cnki.net
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Research on the Quality Evaluation of Air-Rail Intermodal Transportation Based on SEM-Cloud Model
LI Chenxu;CHEN Xue;As a core practice of the Mobility as a Service(MaaS) concept,air-rail intermodal transport is a key mode for achieving seamless intermodal connectivity for passengers. The scientific nature of the passenger satisfaction evaluation index system for air-rail intermodal transport is verified through a structural equation model,and the weights of each index are determined. The cloud model is used to comprehensively evaluate the service quality of air-rail intermodal transport,and the importance-performance analysis(IPA) method is adopted to quantify the importance of service and passenger satisfaction. The results show that the overall service quality of air-rail intermodal transport under different transfer modes is at a medium to high level. Among them,in the physical connection transfer mode,the influence degree of the four latent variables from high to low is transfer service,personalized service,reliability service,and ticket service. In the indirect connection transfer mode,the influence degree of the four latent variables is transfer service,reliability service,personalized service,and ticket service. In addition,the IPA analysis results further verify that there are significant differences in the key indicators affecting passenger service quality under different transfer modes.
Optimization Model of Stop Schemes for Cross-Border Trains Considering Delay Risk of High-Added-Value Goods
DUAN Liwei;CHEN Ying;In response to the problems of long waiting times and insufficient coverage of small-batch,high-value goods along the cross-border train routes during regular transportation organization,which have led to high detention rates and poor timeliness,a "selective stopping" cross-border train transportation organization model is explored and proposed. This model incorporates the risk cost of goods delay into the optimization system of cross-border train stop schemes,with train capacity,goods demand,and stop time as constraints,and aims to minimize the enterprise operation cost and the risk cost of goods delay,thereby establishing a multi-objective optimization model. The model is solved using the fast non-dominated sorting genetic algorithm(NSGA-Ⅱ) with an elite strategy. A simulation analysis is conducted using a certain cross-border train channel as an example,and the Pareto optimal solution set is ultimately obtained. The results show that the top solution has the lowest total cost,reducing it by 38.43% compared to the bottom solution; while the bottom solution can reduce the risk cost of delay by 26.25% and serve 3.65% more container goods along the route,providing decision-makers with multiple reasonable stop schemes.
Planning of Electric Bus Charging Station Location and Capacity Considering Opportunity Charging and Battery Capacity Degradation
WANG Yu;YU Kuo;ZHANG Ran;GE Feng;With the wide application of electric buses,the location selection and capacity determination of charging stations have significantly affected the charging efficiency of electric buses and the costs of bus companies. The layout of charging stations and the capacity configuration for electric buses are of great significance in improving the operational efficiency of public transportation,reducing charging costs,and alleviating the pressure on the power grid. To address these issues,a charging station location algorithm and a capacity configuration planning model have been developed. Firstly,the dynamic adjustment progressive coverage function was introduced into the affinity propagation clustering algorithm,making the determination of centralized charging stations and their served bus stops more flexible. Secondly,the opportunity charging strategy and the battery capacity attenuation model were innovatively incorporated into the capacity configuration planning model,establishing an optimization model with the objective of minimizing the fixed costs of the bus company,the charging costs including opportunity charging,and the operational battery degradation cost including battery penalty costs. The CBC solver was used to solve the model. Finally,taking a part of the bus network in Shenyang as an example,the layout of charging stations and the number of charging piles at each station were determined. The reliability of the model was verified through sensitivity tests under different charging powers and environmental temperatures. The results show that by using the opportunity charging strategy and the battery capacity attenuation model,the comprehensive cost can be significantly reduced to 113 million yuan,and the battery life can be increased by 4.5%,providing a theoretical basis and practical reference for the construction of urban electric bus charging networks.
Simulation of Dynamic Evacuation in Underground Commercial Street Fires Based on the Coupled FDS+CA Model
SHI Jianyun;WANG Ying;REN Yihua;To study the evacuation patterns of people in fire scenarios,a fire evacuation model based on FDS+CA was established. Firstly,FDS was used to conduct numerical simulations of fires,and the real-time data of fire dynamics were loaded into the CA model to continuously reflect the impact of the fire environment on the evacuation behavior of people. Secondly,a simulation was conducted with an underground commercial street as the research object,and the fire spread and evacuation results under different scenarios were analyzed in combination with Monte Carlo simulation. The research shows that the location of the fire source is a key factor affecting the evacuation efficiency of people. When the fire source is close to the evacuation exit,the risk of local evacuation failure increases significantly,and the number of trapped in the area increases significantly. The heat release and smoke diffusion of the fire source can cause the failure of surrounding evacuation paths,and some exits cannot meet the evacuation conditions,thereby prolonging the overall evacuation time. Due to the influence of spatial layout,the speed of smoke diffusion varies significantly,and the smoke spreads particularly rapidly in areas with low obstacles. In a closed underground space,a mechanical smoke exhaust system can effectively reduce the smoke concentration and improve the evacuation efficiency. The research results can provide references for the evacuation and fire protection design of underground commercial streets in fire scenarios.
A Study on Prediction of High-Risk Points for Mountainous Road Accidents Based on Improved Kernel Density Estimation
CHENG Rui;BI Yunjian;PAN Ye;WANG Tao;Mountainous road conditions are poor and driving environments are complex,leading to frequent traffic accidents with severe casualties. To enhance the safety level of driving on mountainous roads,this study comprehensively assesses high-risk sections of traffic accidents based on the traffic accident data of mountainous roads in Guilin City from 2019 to 2023,using a kernel density estimation method that considers the severity of accidents. Firstly,the accident samples are divided into high-risk and low-risk groups based on the identification results of risk sections. Secondly,chi-square analysis is used to explore the key influencing factors of accident risk,and a Bayesian network is employed to construct a prediction model for high-risk points of traffic accidents on mountainous roads. The results show that road type,intersection and section type,and central isolation facilities have a significant impact on the severity of accidents,among which road type and central isolation facilities directly affect the probability of accident risk. The constructed prediction model can assess the probability of accident risk under different accident forms and severity levels. The research results can provide a decision-making basis for formulating differentiated accident prevention policies for mountainous roads.
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