A Quantum Optimization Algorithm for Optimal Electric Vehicle Charging Station Placement for Intercity Trips

Electric vehicles (EVs) play a significant role in enhancing the sustainability of transportation systems. However, their widespread adoption is hindered by inadequate public charging infrastructure, particularly to support long-distance travel. Identifying optimal charging station locations in larg...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2024-10
Main Authors: Radvand, Tina, Talebpour, Alireza
Format: Article
Language:English
Subjects:
Algorithms
Combinatorial analysis
Complexity
Electric vehicle charging
Optimization
Transportation networks
Transportation systems
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Electric vehicles (EVs) play a significant role in enhancing the sustainability of transportation systems. However, their widespread adoption is hindered by inadequate public charging infrastructure, particularly to support long-distance travel. Identifying optimal charging station locations in large transportation networks presents a well-known NP-hard combinatorial optimization problem, as the search space grows exponentially with the number of potential charging station locations. This paper introduces a quantum search-based optimization algorithm designed to enhance the efficiency of solving this NP-hard problem for transportation networks. By leveraging quantum parallelism, amplitude amplification, and quantum phase estimation as a subroutine, the optimal solution is identified with a quadratic improvement in complexity compared to classical exact methods, such as branch and bound. The detailed design and complexity of a resource-efficient quantum circuit are discussed.
ISSN:2331-8422