NDLI: Driving on GWB: energy-efficiency-driven route optimisation for EVs

Content Provider	IET Digital Library
Author	Wang, Hui Cai, Xuelian Zhang, Yao Liu, Anqi Huang, Pengfei Li, Changle
Abstract	The promotion of electric vehicles (EVs) has been regarded as a way to significantly reduce carbon emissions and achieve energy saving. However, the limited cruising mileage of EVs seriously affects the experience of users. Therefore, from the perspective of optimisation, to achieve an optimal route planning for all EVs in a city level based on energy consumption analysis becomes a non-trivial task. In this study, the authors optimise the route planning of EVs driving on green waveband (GWB) with the consideration of energy consumption. Specifically, by analysing the impact of parameters such as phase difference, velocity and green split, a GWB-based energy consumption model is proposed to improve the energy efficiency of EVs in urban traffic scenarios. On the basis of the model, they then develop a multi-objective route optimisation algorithm to implement a reliable route-planning strategy. Using extensive simulations, the performance of their proposal is evaluated. Results show that the proposed energy consumption model can reduce energy consumption of EVs and shorten travel time of drivers. Furthermore, the proposed route-planning strategy achieves a trade-off between energy consumption and time cost, which provides feasible route advice for drivers.
Starting Page	25
Ending Page	35
Page Count	11
ISSN	1751956X
Volume Number	14
e-ISSN	17519578
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/14/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2019.0223
Journal	IET Intelligent Transport Systems
Publisher Date	2019-10-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Communication Network Design, Planning And Routing Electric Vehicle Energy Conservation Energy Consumption Energy Consumption Analysis Energy Efficiency Energy-efficiency-driven Route Optimisation Feasible Route Advice GWB-based Energy Consumption Model Multiobjective Route Optimisation Algorithm Optimal Route Planning Optimisation Optimisation Technique Reliable Route-planning Strategy Road Traffic Telecommunication Network Routing Traffic Engineering Computing Transportation
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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