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An Efficient Electric Vehicle Path-Planner That Considers the Waiting Time

Published: 05 November 2019 Publication History

Abstract

In the last few years, several studies have considered different variants of the Electric Vehicle Journey Planning (EVJP) problem that consists in finding the shortest path (according to time) between two given points, passing by several charging stations and respecting the range of the vehicle. The total time taken by the vehicle is the sum of the driving time, the charging time and the waiting time. Unfortunately, the consideration of the waiting time has been neglected by previous studies. This study aims to fill this gap by introducing: (1) a graph relabeling technique using a probabilistic model of charging station occupancy generated using real EV stations data; (2) an alternative paths generation technique which accounts for worse than expected waiting time at various charging stations. Our empirical results indicate that the a priori consideration of charging station occupancy by graph relabeling can reduce the waiting time by more than 75%, while having a negligible impact on the driving time, and that the generation of alternative paths helps reduce the waiting (and total) time even more. For our public station network dataset and the current station occupancy (for now quite low), the mean total journey time (computed over 1000 requests) decreased by 17.3 minutes when our new technique was used.

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  • (2024)Cooperative Electric Vehicles PlanningProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3662877(290-298)Online publication date: 6-May-2024
  • (2024)Modeling of the Acceptable Waiting Time for EV Charging in JapanSustainability10.3390/su1606253616:6(2536)Online publication date: 20-Mar-2024
  • (2024)An Analysis of Electric Vehicle Charging Intentions in JapanSustainability10.3390/su1603117716:3(1177)Online publication date: 30-Jan-2024
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cover image ACM Conferences
SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
November 2019
648 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 05 November 2019

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Author Tags

  1. Alternative Path
  2. Charging Stations
  3. Contingency
  4. Electric Vehicles
  5. Minimization
  6. Occupation
  7. Planning
  8. Waiting Time

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  • Research-article
  • Research
  • Refereed limited

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  • Fonds de Recherche du Québec - Nature et Technologies

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SIGSPATIAL '19
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SIGSPATIAL '19 Paper Acceptance Rate 34 of 161 submissions, 21%;
Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

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  • (2024)Cooperative Electric Vehicles PlanningProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3662877(290-298)Online publication date: 6-May-2024
  • (2024)Modeling of the Acceptable Waiting Time for EV Charging in JapanSustainability10.3390/su1606253616:6(2536)Online publication date: 20-Mar-2024
  • (2024)An Analysis of Electric Vehicle Charging Intentions in JapanSustainability10.3390/su1603117716:3(1177)Online publication date: 30-Jan-2024
  • (2024)Real-time Traffic and Traffic Flow Prediction using Machine Learning Algorithm for Optimal Route Planning in Electric Vehicles2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES)10.1109/IC3TES62412.2024.10877654(1-7)Online publication date: 15-Nov-2024
  • (2024)An intelligent partial charging navigation strategy for electric vehiclesGeo-spatial Information Science10.1080/10095020.2024.2336596(1-14)Online publication date: 24-Apr-2024
  • (2024)Dynamic routing for the Electric Vehicle Shortest Path Problem with charging station occupancy informationTransportation Research Part C: Emerging Technologies10.1016/j.trc.2023.104411158(104411)Online publication date: Jan-2024
  • (2024)A survey of route recommendations: Methods, applications, and opportunitiesInformation Fusion10.1016/j.inffus.2024.102413(102413)Online publication date: Apr-2024
  • (2023)Optimizing Cross-Line Dispatching for Minimum Electric Bus FleetIEEE Transactions on Mobile Computing10.1109/TMC.2021.311942122:4(2307-2322)Online publication date: 1-Apr-2023
  • (2023)Double Graph Attention Actor-Critic Framework for Urban Bus-Pooling SystemIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.323805524:5(5313-5325)Online publication date: May-2023
  • (2021)Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning ProblemIntelligent Data Engineering and Automated Learning – IDEAL 202110.1007/978-3-030-91608-4_9(87-96)Online publication date: 25-Nov-2021
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