This paper presents a computationally-efficient fuel-economic control strategy for a group of connected vehicles in urban roads. We assume the availability of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. Apart from fuel economy, the proposed higher-level controller also focuses on reducing red light idling, which improves traffic mobility and in turn improves vehicle emissions. The red light idling avoidance problem is formulated as a two-point boundary value problem and sampling-based approach is employed to evaluate a feasible solution in real-time. This leads to control solutions that can ensure avoidance of red light idling despite the number of vehicles in front of it. We have shown that sampling from a Gaussian distribution whose mean depends on the target velocity can improve fuel economy to a good extent. This higher-level control solution provides a good initial solution for any deterministic lower-level controller. Simulation results show the efficacy of the proposed method in terms of fuel economy and computational efficiency.
- Dynamic Systems and Control Division
Computationally-Efficient Fuel-Economic High-Level Controller Design for a Group of Connected Vehicles in Urban Roads
- Views Icon Views
- Share Icon Share
- Search Site
Canosa, AF, & HomChaudhuri, B. "Computationally-Efficient Fuel-Economic High-Level Controller Design for a Group of Connected Vehicles in Urban Roads." Proceedings of the ASME 2018 Dynamic Systems and Control Conference. Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems. Atlanta, Georgia, USA. September 30–October 3, 2018. V002T15A002. ASME. https://doi.org/10.1115/DSCC2018-9124
Download citation file: