Authors: Saeed Nasehi, Farhana Choudhury, Egemen Tanin

Published on: May 03, 2024

Impact Score: 8.0

Arxiv code: Arxiv:2405.00691

Summary

• What is new: Introduction of a novel Electric Vehicle Route Planning problem and a two-phase algorithm to address it, along with an `influence factor` for optimizing EV travel times.
• Why this is important: The challenge of finding an optimal charging route for electric vehicles due to limited driving range and charging infrastructure.
• What the research proposes: A new graph problem model and a two-phase algorithm to find the best charging route for EVs, reducing total travel time.
• Results: Achieved a 50% reduction in total travel time for EVs compared to current best methods, especially as the number of EVs increases.

Technical Details

Technological frameworks used: nan

Models used: Graph problem model, two-phase algorithm, influence factor heuristic

Data used: Real dataset

Potential Impact

Automotive industry, electric vehicle manufacturers, urban planning and infrastructure development sectors.

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