DEEPTRAVEL: A neural network based travel time estimation model with auxiliary supervision

• Main Authors: ZHANG, Hanyuan, WU, Hao, SUN, Weiwei, ZHENG, Baihua
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Complex factors; Real data sets; Road segments; Supervision models; Trajectory data; Trajectory points; Travel time estimation; Urban mobility; Travel time; Databases and Information Systems; Numerical Analysis and Scientific Computing; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/4107; https://ink.library.smu.edu.sg/context/sis_research/article/5110/viewcontent/DeepTravel.pdf
• Institution: Singapore Management University

Estimating the travel time of a path is of great importance to smart urban mobility. Existing approaches are either based on estimating the time cost of each road segment or designed heuristically in a non-learning-based way. The former is not able to capture many cross-segment complex factors while...