Smart Driving of a Vehicle Using Model Predictive Control for Improving Traffic Flow
Open Access
- 2 January 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Intelligent Transportation Systems
- Vol. 15 (2), 878-888
- https://doi.org/10.1109/tits.2013.2292500
Abstract
Traffic management on road networks is an emerging research field in control engineering due to the strong demand to alleviate traffic congestion in urban areas. Interaction among vehicles frequently causes congestion as well as bottlenecks in road capacity. In dense traffic, waves of traffic density propagate backward as drivers try to keep safe distances through frequent acceleration and deceleration. This paper presents a vehicle driving system in a model predictive control framework that effectively improves traffic flow. The vehicle driving system regulates safe intervehicle distance under the bounded driving torque condition by predicting the preceding traffic. It also focuses on alleviating the effect of braking on the vehicles that follow, which helps jamming waves attenuate to in the traffic. The proposed vehicle driving system has been evaluated through numerical simulation in dense traffic.Keywords
Funding Information
- Aihara Innovative Mathematical Modeling Project
- Japan Society for the Promotion of Science through the Funding Program for World-Leading Innovative Research and Development on Science and Technology (FIRST Program)
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