Development of a multi-vehicle GLOSA

The Green Light Optimal Speed Advisory (GLOSA) is one of the most significant applications in intelligent transportation systems. Existing GLOSA methods compute an advisory speed profile that allows a vehicle to reach one or more intersections during the green phase, thereby reducing travel time and fuel consumption. However, current GLOSA approaches optimize the speed of a single vehicle only, without ensuring that the vehicles following it can also pass the intersection(s) during the green phase, thus limiting potential improvements in overall traffic flow.

This thesis aims to develop an enhanced, multi-vehicle extension of the GLOSA system. By leveraging V2I (Vehicle-to-Infrastructure) and V2V (Vehicle-to-Vehicle) communication, the proposed approach considers multiple vehicles simultaneously and computes individualized speed recommendations to minimize unnecessary stops at intersections and improve traffic efficiency. The work will be conducted through numerical simulations (MATLAB/Simulink, VI-CRT, VI-WorldSim).