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arXiv · 2509.07402

Electric Vehicle Routing Problem with Time Windows and Station-based or Route-based Charging Options

Tran Trung Duc·Vu Duc Minh·Nguyen Ngoc Doanh·Pham Gia Nguyen·Laurent El Ghaoui·Ha Minh Hoang
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Abstract

The Electric Vehicle Routing Problem with Time Windows and Station-based or Route-based Charging Options addresses fleet optimization incorporating both conventional charging stations and continuous wireless charging infrastructure. This paper extends Schneider et al.'s foundational EVRP-TW model with arc-based dynamic wireless charging representation, partial coverage modeling, and hierarchical multi-objective optimization prioritizing fleet minimization. Computational experiments on Schneider benchmark instances demonstrate substantial operational benefits, with distance and time improvements ranging from 0.7% to 35.9% in secondary objective components. Analysis reveals that 20% wireless coverage achieves immediate benefits, while 60% coverage delivers optimal performance across all test instances for infrastructure investment decisions.

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Tran Trung Duc, Vu Duc Minh, Nguyen Ngoc Doanh, Pham Gia Nguyen, Laurent El Ghaoui, Ha Minh Hoang. 2025-09-09. Electric Vehicle Routing Problem with Time Windows and Station-based or Route-based Charging Options. https://arxiv.org/abs/2509.07402

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