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.

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People:

  • Saerona Choi (sc2gs@virginia.edu)
  • Ho-jin Jung (hojinwkd@dgist.ac.kr)
  • Byungkyu Brian Park (bpark@virginia.edu)
  • Haengju Lee (haengjulee@dgist.ac.kr)
  • Sang Hyuk Son (son@dgist.ac.kr)

Reference:

We submitted the paper to the 3rd International Conference on Internet of Vehicles(IOV 2016).