Eco-Driving at Signalized Intersections: A Multiple Signal Optimization Approach

Consecutive traffic signalized intersections can increase vehicle stops, producing accelerations on arterial roads and potentially increasing fuel consumption levels. Eco-driving systems are one method to improve energy efficiency with the help of connectivity. In this paper, an eco-driving system is developed that computes a fuel-optimized trajectory while traversing more than intersection. The designed in modular scalable fashion allowing it be implemented large networks without significantly computational complexity. proposed utilizes signal phasing timing (SPaT) data communicated connected vehicles (CVs) together real-time dynamics compute fuel-optimum trajectories. algorithm incorporated INTEGRATION microscopic assignment simulation software conduct comprehensive sensitivity analysis various variables, including: market penetration rates (MPRs), demand levels, phase splits, offsets spacings performance. shows at 100\% MPR, reduced by as high 13.8\%. Moreover, higher MPRs shorter lengths result larger savings. Optimum levels exist maximize effectiveness algorithm. Furthermore, study demonstrates works less effective when offset closer its optimal value. Finally, highlights need for further work enhance deal over-saturated conditions.