Eco-Cooperative Adpative Cruise Control at Multiple Signlized Intersections: Network-Wide Evaluation and Sensitivity Analysis

Network-wide fuel consumption along arterial roadways increases as the number of vehicle stops caused by traffic signals increase. Eco-Cooperative Adaptive Cruise Control for Multiple Signals (Eco-CACC-MS) systems are being introduced to increase vehicle fuel consumption savings in the vicinity of signalized intersections. These Eco-CACC-MS systems utilize traffic Signal Phasing and Timing (SPaT) data received from vehicle-to-infrastructure (V2I) communication and vehicle queue predictions to compute and transmit fuel-optimum vehicle trajectories to vehicles traveling through the vicinity of the signalized intersections. This study used INTEGRATION microscopic traffic assignment and simulation software to evaluate the Eco-CACC-MS algorithm to assess its network-wide environmental and energy impacts. A simulation sensitivity analysis showed that the Eco-CACC-MS algorithm reduces fuel consumption up to 13% with a 100% market penetration rate compared with Eco-CACC. The analyses also examined multilane networks, different demand levels, and different signal offsets. The significance analysis section showed the significance difference in the saving of Eco-CACC-MS and Eco-CACC. However, the algorithm may cause an increase in fuel consumption with oversaturated networks; thus, further work is needed to enhance the algorithm for these conditions