PETravel: Personalized E-bike Travel Recommendation System with Unlimited Endurance

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.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3715191
Citations
1
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
3.25
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article

PETravel: Personalized E-bike Travel Recommendation System with Unlimited Endurance

Bo Zhou, Zhao Li, Shichang Hu, Haitao Xu et al.
1 citations
Recommender Systems and Techniques
3.25
article

PETravel: Personalized E-bike Travel Recommendation System with Unlimited Endurance

Bo Zhou, Zhao Li, Shichang Hu, Haitao Xu, Xuefeng Pan, Yaoling Chen, Yuchen Li, Wenrui Ma, Y.W. Shi
article en
1 citations

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.

Zhejiang Gongshang University (CN), Zhejiang University (CN), Singapore Management University (SG)
Openalex Percentile: Top 9%
Recommender Systems and Techniques
3.25
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