Year: 2023
Type: conference-paper
Abstract: Routing long trips of electric vehicles (EVs) is in growing demand and a non-trivial task as charging stops have to be planned along the way. Developing and testing realistic EV routing algorithms is challenging as multiple factors have to be considered such as traffic conditions, charging station availability, and car properties relevant to energy-consumption modeling. Moreover, testing and evaluating such algorithms requires realistic data and tools to simulate energy consumption and charging. This paper demonstrates a web-based testbed system for EV routing algorithms. Users can input start and end points on the map, set the car properties that influence the energy consumption, and adjust the charging station availability to see how the results change. The system visualizes a set of proposed routes as well as a number of alternative routes considered (but discarded) by the routing algorithm. Details of each leg of each route can be interactively explored. The highly configurable system allows the algorithm developers to ask what-if and why-not questions.
Authors: Nojus Makulavičius, Agnė Brilingaitė, Linas Bukauskas, Alminas Čivilis, Virgilijus Krinickij, Simonas Šaltenis
Institution: Vilnius University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4390100437