Eco-Speed Control for Hybrid Electric Buses in the Vicinity of Signalized Intersections

The proposed research effort builds on a TranLIVE and Connected Vehicle Initiative University Transportation Center (UTC) project that developed a dynamic Eco-Speed Control (ESC) system designed to reduce the fuel consumption levels of conventional internal combustion engine (ICE) vehicles in the vicinity of signalized intersections. The proposed effort extends previous research to develop algorithms tailored to hybrid electric buses. Consequently, the objective of the proposed study is to develop and test a dynamic ESC system that computes the optimum vehicle trajectories of ICE vehicles and buses in the vicinity of signalized intersections while considering dynamic traffic conditions, vehicle powertrain type and electric battery state-of-charge. As part of this effort, the team will develop ESC algorithms for buses using predictive energy estimation models to identify the optimum speed profiles using information from surrounding vehicles and upcoming signalized intersections. Field tests of these systems will be conducted on the Smart Road test facility. Furthermore, the Morgan State University (MSU) team members will implement and test the proposed ESC algorithm on a driving simulator under different conditions (e.g., roadway speed limit, time to the next signal phase, and vehicle type). The anticipated outcome will be a comprehensive ESC system that is tailored for different vehicle types and engine technologies.