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A Survey of Route Recommendations: Methods, Applications, and Opportunities
March 4, 2024, 5:42 a.m. | Shiming Zhang, Zhipeng Luo, Li Yang, Fei Teng, Tianrui Li
cs.LG updates on arXiv.org arxiv.org
Abstract: Nowadays, with advanced information technologies deployed citywide, large data volumes and powerful computational resources are intelligentizing modern city development. As an important part of intelligent transportation, route recommendation and its applications are widely used, directly influencing citizens` travel habits. Developing smart and efficient travel routes based on big data (possibly multi-modal) has become a central challenge in route recommendation research. Our survey offers a comprehensive review of route recommendation work based on urban computing. It …
abstract advanced applications arxiv city computational cs.ai cs.lg data development habits information information technologies intelligent intelligent transportation modern opportunities part recommendation recommendations resources route smart survey technologies transportation travel type
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