Robust Optimal Eco-driving Control with Uncertain Traffic Signal Timing
For autonomous vehicles navigating signalized intersections, this work provides a robust control method to handle uncertain signal timing, improving safety and efficiency.
This paper develops a robust eco-driving control strategy for multiple signalized intersections with uncertain traffic signal timing, achieving 50-57% fuel savings while maintaining arrival time, and reducing intersection violations with minimal fuel economy sacrifice.
This paper proposes a robust optimal eco-driving control strategy considering multiple signalized intersections with uncertain traffic signal timing. A spatial vehicle velocity profile optimization formulation is developed to minimize the global fuel consumption, with driving time as one state variable. We introduce the concept of effective red-light duration (ERD), formulated as a random variable, to describe the feasible passing time through signalized intersections. A chance constraint is appended to the optimal control problem to incorporate robustness with respect to uncertain signal timing. The optimal eco-driving control problem is solved via dynamic programming (DP). Simulation results demonstrate that the optimal eco-driving can save fuel consumption by 50-57% while maintaining arrival time at the same level, compared with a modified intelligent driver model as the benchmark. The robust formulation significantly reduces traffic intersection violations, in the face of uncertain signal timing, with small sacrifice on fuel economy compared to a non-robust approach.