An optimization model for microscopic centralized traffic management of intelligent vehicles in a segment of a single lane

This paper presents a mathematical solution to optimize the microscopic centralized traffic management of intelligent vehicles in a single lane highway. Therefore an optimization model that uses the travel time as criteria is proposed. The model considers important elements of a highway system such as capacity of acceleration of each vehicle, traffic rules and topography of the lane. It deals with traffic situations such as overtaking, slopes, obstacles, and speed reducers. As the model takes time to run, a simulation algorithm is also proposed. The results of the algorithm provide also references to solve the problem of overtaking priority. Moreover, new indexes for microscopic traffic assessment are proposed. Test results are presented to evaluate both the model and the algorithm.