Bi-Level Optimization for Eco-Traffic Signal System
The objectives of this paper is to develop the Eco-Traffic Signal Sys-tem (Eco-TSS) that can improve fuel consumption and delays at an isolated in-tersection under Connected Vehicle environment. The proposed system consists of an eco-driving algorithm and a traffic signal optimization process to figure out an optimal solution minimizing fuel consumption and delays. We developed a bi-level optimization method for the Eco-TSS and evaluated the impact of the Eco-TSS within traffic simulation to compare it with existing traffic signal controls. As results, the system showed fuel savings of 5-10% and travel-time reduction by 12% over existing control method.
Saerona Choi (firstname.lastname@example.org)
Ho-jin Jung (email@example.com)
Byungkyu Brian Park (firstname.lastname@example.org)
Haengju Lee (email@example.com)
Sang Hyuk Son (firstname.lastname@example.org)
We submitted the paper to the 3rd International Conference on Internet of Vehicles（IOV 2016).