Signal plan stabilization to enable eco-driving

Eco-driving applications have high potential to significantly reduce pollution in urban environment. Speed advice for vehicles approaching traffic lights, allowing them to pass through an intersection during the green interval, is one of such applications. This paper compares several control methods with respect to traffic efficiency, plan stability and the resulting speed advice performance. A novel control method is introduced, which is specifically designed for maintaining efficient traffic control while adding stability to the control plan. The method is an extension to the current adaptive algorithm. The results show a large improvement between static and actuated control with 19% reduction of negative impact, and a further 11% reduction is achieved with adaptive control. While semi-fixed time control is currently the default solution for speed advisory systems, the stabilized adaptive controller outperforms this solution in both stability and traffic efficiency. The chance for stopping at the traffic light was reduced from 73% to 47% with a 14% better traffic efficiency.