Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining

Author:

Wang Zhan1,Peng Zhaohui1,Wang Senzhang2,Song Qiao1

Affiliation:

1. Shandong University, Qingdao, China

2. Central South University, Changsha, China

Publisher

ACM

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook;Information Fusion;2025-01

2. A survey of route recommendations: Methods, applications, and opportunities;Information Fusion;2024-08

3. Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation;IEEE Transactions on Knowledge and Data Engineering;2023-10-01

4. A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

5. Route planning using divide-and-conquer: A GAT enhanced insertion transformer approach;Transportation Research Part E: Logistics and Transportation Review;2023-08

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