DeepTrip: A Deep Learning Model for the Individual Next Trip Prediction With Arbitrary Prediction Times

• Published in: IEEE transactions on intelligent transportation systems Vol. 24; no. 6; pp. 5842 - 5855
• Main Authors: Zhang, Pengfei, Koutsopoulos, Haris N., Ma, Zhenliang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Data models; Deep learning; Global Positioning System; Impact analysis; individual mobility; metro systems; Mobility management; Next trip prediction; Numerical models; Prediction algorithms; Predictive models; Random sampling; Trajectory; Transportation systems; Travel

The increasing availability of travel trajectory data allows for a better understanding of travel behavior. In the individual mobility analysis, the problem of next trip prediction assumes a central role and is beneficial for applications such as personalized services and mobility management. This p...