Travel mode choice prediction based on personalized recommendation model

Abstract The accurate prediction of individual travel mode in the city is necessary for the development of urban traffic intelligence. Through deep analysis on distribution of travel modes, policy makers can make proper policies to improve traffic conditions. With the development of sensing techniqu...

Full description

Bibliographic Details
Main Authors: Zhilin Lai, Jing Wang, Junjie Zheng, Yuxing Ding, Cheng Wang, Huizhen Zhang
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:IET Intelligent Transport Systems
Online Access:https://doi.org/10.1049/itr2.12290