Interpreting trajectories from multiple views: A hierarchical self-attention network for estimating the time of arrival

• Main Authors: CHEN, Zebin, XIAO, Xiaolin, GONG, Yue-Jiao, FANG, Jun, MA, Nan, CHAI, Hua, CAO, Zhiguang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Estimating the time of arrival; Self-attention network; Hierarchical representation learning; Databases and Information Systems; Numerical Analysis and Scientific Computing; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8136; https://ink.library.smu.edu.sg/context/sis_research/article/9139/viewcontent/Interpreting_Trajectories_from_Multiple_Views__A_Hierarchical_Self_Attention_Network_for_Estimating_the_Time_of_Arrival.pdf
• Institution: Singapore Management University

Estimating the time of arrival is a crucial task in intelligent transportation systems. Although considerable efforts have been made to solve this problem, most of them decompose a trajectory into several segments and then compute the travel time by integrating the attributes from all segments. The...