An online learning collaborative method for traffic forecasting and routing optimization

Guo, Z., Zhang, Y., Lv, J., Liu, Y. and Liu, Y. (2021) An online learning collaborative method for traffic forecasting and routing optimization. IEEE Transactions on Intelligent Transportation Systems, 22(10), pp. 6634-6645. (doi: 10.1109/TITS.2020.2986158)

Abstract

Recent advances in technologies such as the Internet of Things (IoT) and Cyber-Physical Systems (CPS) have provided promising opportunities to solve problems in urban traffic. With the help of IoT technologies, online data from road segments are captured by monitoring devices, while real-time data from vehicles are collected through preinstalled sensors. Based on these data, a CPS model is constructed to depict real-time status and dynamic behavior of road segments and vehicles. An online learning data-driven model is developed to extract prior knowledge and enhance collaboration between road segments and vehicles by combining short-term traffic forecasting and real-time routing optimization. A case study based on Xi’an city is presented to demonstrate the feasibility and efficiency of the proposed method, showing a reduction in the travel time with reasonable computation time, without much compromising the travel distance and fuel consumption. This work potentially strengthens the transparency and intelligence of urban traffic systems.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Liu, Dr Ying
• Authors: Guo, Z., Zhang, Y., Lv, J., Liu, Y., and Liu, Y.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: IEEE Transactions on Intelligent Transportation Systems
• Publisher: IEEE
• ISSN: 1524-9050
• ISSN (Online): 1558-0016
• Published Online: 20 April 2020
• Copyright Holders: Copyright © 2020 IEEE
• First Published: First published in IEEE Transactions on Intelligent Transportation Systems 22(10): 6634-6645
• Publisher Policy: Reproduced in accordance with the publisher copyright policy