A real-time optimal eco-driving approach for autonomous vehicles crossing multiple signalized intersections
This paper develops a methodology for obtaining an optimal acceleration/speed profile for a single autonomous vehicle crossing multiple signalized intersections without stopping in free flow mode. We aim to minimize an objective function that involves a trade-off between travel time and energy consumption of autonomous vehicles. Our design approach differs from most existing approaches based on numerical calculations: it begins with identifying the structure of the optimal acceleration profile and then showing that it is characterized by several parameters, which are used for design optimization. Therefore, the infinite dimensional optimal control problem is transformed into a finite dimensional parametric optimization problem, which enables a real-time online analytical solution. We include simulation results to show quantitatively the advantages of considering multiple intersections jointly rather than dealing with them individually. Based on mild assumptions, the optimal eco-driving algorithm is readily extended to include interferlna traffic.
Publication Source (Journal or Book title)
Proceedings of the American Control Conference
Meng, X., & Cassandras, C. (2019). A real-time optimal eco-driving approach for autonomous vehicles crossing multiple signalized intersections. Proceedings of the American Control Conference, 2019-July, 3593-3598. https://doi.org/10.23919/acc.2019.8814864