Real-Time Traffic Management to Maximize Throughput of Automated Vehicles

Given an arbitrary number of automated vehicles, the researchers designed an algorithm to maximize the number of possible lane changes on an arbitrary segment of a highway at any given time. The proposed algorithm utilizes information such as vehicles’ positions, speeds, and time slacks to make judicious lane change decisions without requiring prior knowledge of traffic patterns or unnecessary braking. To reduce runtime overhead, we propose a distributed approach to allow for local lanechanging decisions to be made during run time. PROJECT BRIEF | March 2015