Hierarchical User-Driven Trajectory Planning and Charging Scheduling of Autonomous Electric Vehicles
Author:
Affiliation:
1. Department of Computer and Information Sciences, Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, U.K.
2. Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, U.K.
Funder
PGR Scholarship (RDF Studentship) at Northumbria University
DTE Network+ funded by the Engineering and Physical Sciences Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6687316/10050348/09851476.pdf?arnumber=9851476
Reference49 articles.
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4. Integrated Vehicle-Following Control for Four-Wheel-Independent-Drive Electric Vehicles Against Non-Ideal V2X Communication
5. Decentralized Greedy-Based Algorithm for Smart Energy Management in Plug-in Electric Vehicle Energy Distribution Systems
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