PETravel: Personalized e-bike travel recommendation system with unlimited endurance

Publication Type

Conference Proceeding Article

Publication Date

5-2025

Abstract

E-bike tourism has become an increasingly popular and sustainable mode of travel. A significant concern for riders is managing battery range and mitigating range anxiety during extended journeys. Battery swapping has emerged as an innovative solution to these challenges. However, existing e-bike route planning systems fail to account for the need for battery swapping. To bridge this gap, we present PETravel, a personalized e-bike travel recommendation system that integrates battery-swapping strategies directly into route planning. In addition, it enhances the tourism experience by accommodating diverse personalized requirements across various scenarios. Evaluations demonstrate PETravel's effectiveness in providing tailored solutions for personalized and sustainable tourism while supporting a variety of e-bike travel scenarios. A video demonstration of PETravel is available here: https://youtu.be/bu5UO8ArYZg.

Keywords

Route Recommendation, E-bike Tour, Dijkstra’s Algorithm

Discipline

Databases and Information Systems | Theory and Algorithms

Research Areas

Intelligent Systems and Optimization

Publication

WWW '25: Companion Proceedings of the ACM on Web Conference 2025, Sydney, Australia, April 28 - May 2

First Page

2907

Last Page

2910

Identifier

10.1145/3701716.3715191

Publisher

ACM

City or Country

New York

Additional URL

https://doi.org/10.1145/3701716.3715191

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