• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 58 Issue 3
Jun.  2023
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Article Contents
HU Lu, LIANG Zhimei, JIANG Yangsheng. Simulation Analysis on Influence of Congestion Propagation on Operation of Carsharing Systems[J]. Journal of Southwest Jiaotong University, 2023, 58(3): 499-510. doi: 10.3969/j.issn.0258-2724.20220231
Citation: HU Lu, LIANG Zhimei, JIANG Yangsheng. Simulation Analysis on Influence of Congestion Propagation on Operation of Carsharing Systems[J]. Journal of Southwest Jiaotong University, 2023, 58(3): 499-510. doi: 10.3969/j.issn.0258-2724.20220231

Simulation Analysis on Influence of Congestion Propagation on Operation of Carsharing Systems

doi: 10.3969/j.issn.0258-2724.20220231
  • Received Date: 31 Mar 2022
  • Rev Recd Date: 31 Aug 2022
  • Available Online: 28 Apr 2023
  • Publish Date: 22 Sep 2022
  • With the increasing penetration of carsharing, vehicle overflow and congestion propagation at the level of station and path tend to be serious. In order to describe the influence mechanism of congestion propagation on the operation of carsharing systems, firstly, a queuing network of the carsharing system is built with time-varying and state-dependence properties. Secondly, based on C# language and O2DES framework of discrete event simulation, a simulation model of the carsharing system under dynamic stochastic environment is proposed, which allows for the influence of vehicle–road interaction and congestion propagation. The influence of congestion propagation on the operation of the carsharing system is analyzed in terms of the station and path levels. Finally, a small-scale carsharing system, i.e., three stations in Chengdu, is exemplified. The proposed model and the infinite queuing model in virtual space are compared and analyzed under different transfer ratios, demands and road congestion scenarios. The results show that congestion propagation at the stations and paths will decline the system service rate by 9.3%–16.9%. Compared with the infinite queuing model, the proposed model can better reflect the actual operation of the carsharing system because of considering congestion propagation. When the occupancy rate of the road network reaches 70% (the road network is in moderate congestion), the proposed carsharing system can achieve maximum benefits. The introduction of the carsharing system will bring new changes to the dynamic allocation of road resources. When the proportion of users from public transportation to the carsharing system exceeds 70%, it will intensify the congestion of the road network, which is not conducive to the effective operation and sustainable development of the carsharing system.

     

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