Urban Origin–Destination Travel Time Estimation Using K-Nearest-Neighbor-Based Methods
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- Dimitris Bertsimas & Arthur Delarue & Patrick Jaillet & Sébastien Martin, 2019. "Travel Time Estimation in the Age of Big Data," Operations Research, INFORMS, vol. 67(2), pages 498-515, March.
- Zheng, Linjiang & Xia, Dong & Zhao, Xin & Tan, Longyou & Li, Hang & Chen, Li & Liu, Weining, 2018. "Spatial–temporal travel pattern mining using massive taxi trajectory data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 24-41.
- Shuming Sun & Juan Chen & Jian Sun, 2019. "Traffic congestion prediction based on GPS trajectory data," International Journal of Distributed Sensor Networks, , vol. 15(5), pages 15501477198, May.
- Xiyang Zhou & Zhaosheng Yang & Wei Zhang & Xiujuan Tian & Qichun Bing, 2016. "Urban Link Travel Time Estimation Based on Low Frequency Probe Vehicle Data," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-13, January.
- Krause, Cory M. & Zhang, Lei, 2019. "Short-term travel behavior prediction with GPS, land use, and point of interest data," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 349-361.
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- Chaoyang Shi & Waner Zou & Yafei Wang & Zhewen Zhu & Tengda Chen & Yunfei Zhang & Ni Wang, 2025. "Enhancing Travel Time Prediction for Intelligent Transportation Systems: A High-Resolution Origin–Destination-Based Approach with Multi-Dimensional Features," Sustainability, MDPI, vol. 17(5), pages 1-17, February.
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Keywords
origin–destination travel time; machine learning; k-nearest neighbor; adaptive algorithm; haversine distance;All these keywords.
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