A human-centric machine learning based personalized route choice prediction in navigation systems-Reference-Cited by-同舟云学术

A human-centric machine learning based personalized route choice prediction in navigation systems

Published:2022-07-17 Issue: Volume: Page:1-13
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Sun Bingrong¹²^ORCID,Gong Lin³,Shim Jisup⁴,Jang Kitae⁵,Park B. Brian¹²^ORCID,Wang Hongning³,Hu Jia⁶⁷

Affiliation:

1. Department of Engineering Systems and Environment, University of Virginia, VA, USA

2. Link Lab, University of Virginia, USA

3. Department of Computer Science, University of Virginia, USA

4. Department of Transport & Planning, Delft University of Technology, Delft, The Netherlands

5. Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

6. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, China

7. Institute for Advanced Study, Tongji University, China

Funder

DGIST R&D Program of the Ministry of Science and ICT

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2022.2069499

Reference37 articles.

1. An advanced traveler navigation system adapted to route choice preferences of the individual users

2. Barra, T. D. L., Pérez, B. & Añez, J. (1993). Multidimensional path search and assignment. In PTRC Summer Annual Meeting, 21st, 1993, University of Manchester, United Kingdom.

3. Ben-Hur, A. & Weston, J. (2010). A user’s guide to support vector machines (pp. 223–239). Humana Press. https://doi.org/10.1007/978-1-60327-241-4_13