김경현1, 강창범, 임원식, 차석원#
Abstract : Recently, air pollution and global warming are considered as major social issues. Transportation is one of the contributors to air pollutant emissions by consuming fossil fuel. Energy-efficient driving, which reduces energy consumption by
improving driving control, is needed to reduce emissions. In this paper, optimal speed profile for energy-efficient driving is
generated by using dynamic programming that can achieve a global optimal solution. A conventional vehicle is selected as a target
vehicle and modeled based on longitudinal dynamics. The vehicle travels in the urban road, taking into account different road
conditions and constraints(e.g., traffic signal and speed limit). It is assumed that the vehicle has access to the traffic signal system
data and geographical information by vehicle-to-information(V2I). The selected roads are discretized for optimization, and the road
characteristics and traffic signals are determined according to each location. Meanwhile, the cost function includes the fuel
consumption of the vehicle and trip time adjusted by weight factor. Optimization results showed that the vehicle consumes minimal
fuel with fewer vehicle stops due to the traffic light. We analyzed the optimal speed profile generated in a specific case and the
iterative optimization results set a suitable cost boundary by converging the trip time.