Synergies between repositioning and charging strategies for shared autonomous electric vehicle fleets

被引:20
|
作者
Dean, Matthew D. [1 ]
Gurumurthy, Krishna Murthy [2 ]
de Souza, Felipe [2 ]
Auld, Joshua [2 ]
Kockelman, Kara M. [1 ]
机构
[1] Univ Texas Austin, Dept Civil, Architectural & Environm Engn, 301 E Dean Keeton St, Stop C1761, Austin, TX 78712 USA
[2] Transportat & Power Syst Div, Argonne Natl Lab, 9700 S Cass Ave, Lemont, IL 60439 USA
基金
美国国家科学基金会;
关键词
Shared autonomous electric vehicles; Fleet repositioning; Fleet charging; Charging infrastructure; Agent-based simulation; POLARIS; AUTOMATED MOBILITY; TRAVEL DEMAND; OPERATIONS; SIMULATION; IMPACT; IMPLEMENTATION; AUSTIN; OPTIMIZATION; PERFORMANCE; FRAMEWORK;
D O I
10.1016/j.trd.2022.103314
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The emergence of on-demand shared autonomous electric vehicle (SAEV) service requires careful charging station planning and a joint charging and repositioning strategy to mitigate empty travel. This study couples charging and repositioning events as a means of improving service quality (rider wait times), reducing empty travel due to repositioning or charging, and improving fleet utilization (average daily trips per vehicle and charging queues). This synergy is explored for the Austin, Texas region using POLARIS, an agent-based model. On average, wait times were 39% lower, and average daily trips served per SAEV increased up to 6.4 (or 28%) compared to SAEV repositioning with heuristic charging. Coupling repositioning with charging decreased the fleet's percent empty travel on average by 1.6%, relative to the scenario treating them as independent events (which varies by charging station design). Sparser charging stations reduce investment costs, and operators can leverage this framework to keep traveler wait times low.
引用
收藏
页数:25
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