Survey of charging scheduling, fleet management, and location planning of charging stations for electrified demand-responsive transport systems: methodologies and recent developments
Tai-Yu Ma, Yumeng Fang

TL;DR
This paper systematically reviews recent methodologies and developments in charging scheduling, fleet management, and infrastructure planning for electrified demand-responsive transport systems, highlighting current approaches and future research directions.
Contribution
It provides a comprehensive overview of recent mathematical models, datasets, and software tools for EV-DRT planning, and identifies open research challenges.
Findings
Summarized recent mathematical modeling approaches.
Compiled open-access datasets and software tools.
Identified future research directions.
Abstract
The accelerated electrification of transport systems with EVs has brought new challenges for charging scheduling, fleet management, and charging infrastructure location and configuration planning. In this review, we have provided a systematic review of the recent development in strategic, tactical, and operational decisions for demand responsive transport system planning using electric vehicles (EV-DRT). We have summarized recent developments in mathematical modeling approaches and identified future research directions. A list of existing open-access datasets, numerical test instances, and software are provided for future research in EV-DRT and related problems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectric Vehicles and Infrastructure · Transportation and Mobility Innovations · Advanced Battery Technologies Research
