Real-time Inventory Control and Relocation in Electric Car-Sharing System Using a Stochastic Petri Net and Discrete Event Simulation
ID:1392 View Protection:ATTENDEE Updated Time:2021-12-03 10:49:22 Hits:205 Poster Presentation

Start Time:2021-12-17 10:36(Asia/Shanghai)

Duration:1min

Session:P1 Poster2020 » P1T1Track 1 Advanced Transportation Information and Control Engineering

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Abstract
During the last few years, electric car sharing (ECs) systems have continued to develop as an important shared mobility mode, which have been presented in many cities around the world, e.g. Paris, Berlin, and Geneva. Recently, a new system named “one-way” releases the constraint of returning the car to the origin station, and optimally extends the application of the system. However, the freedom of returning vehicles may induce system imbalance while the numbers of request significantly increase. This paper addresses the issue of redistribution of electric cars to accommodate the real-time demand. Models were proposed to analyze and assess the balancing problem by using Petri Nets (PN) and discrete event simulation. The objectives are to determine the number of unserved users and evaluate the performances of the system, so as to optimize the relocation service launch time to respond to the largest number of requests. The numerical results of simulation indicated that from the demand perspective, the strategy with 50% level of electricity power charging significantly reduced the number of users unserved, which decreased the number of interventions of truck as well as the occurrence of the two extreme cases (i.e. empty and full). Findings of this study may assist for better designing an effective operational management of the electric car sharing systems.
Keywords
CICTP
Speaker
Daniel(Jian) Sun
Jian

Submission Author
Daniel(Jian) Sun Jian
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Important Date
  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Chang'an University
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