Eco-driving speed optimization model of urban intelligent connected vehicle platoon considering driver's comfort level

In order to solve the problem of low driver's comfort level and high fuel consumption caused by the complex traffic flow characteristics on urban traffic arterial roads, this paper proposes an eco-speed optimization model of intelligent connected platoons considering the driver's comfort level and fuel economy. The model is based on the red light phase, taking into account the safety distance constraints of vehicles, and using genetic algorithms to optimize the solution to obtain the optimal vehicle speed curve, to guide platoons smoothly pass through the urban traffic arterial roads. In order to verify the performance of the proposed model, the simulation test of traffic scenarios with and without eco-driving speed optimization model is carried out in this paper. The test results show that the speed optimization model proposed in this paper can reduce vehicle acceleration by 21.5%, improve the comfort of drivers and passengers to a certain extent, and reduce fuel consumption by 31.6%. Therefore, the model can adjust the speed of vehicles by forming platoons on urban traffic arteries, thereby effectively improving fuel economy and improving the comfort of drivers and passengers.