A Speed Control Strategy for Automated Buses to Cross Intersections while Considering the Motion of Oncoming Vehicles

It is expected that the wide spreading of automated vehicles will make the modern transportation safer, faster and smarter. However, there are still some essential issues to be solved for keeping the driving safety, especially the way to avoid potential collisions with oncoming vehicles at an intersection. This paper proposed a speed control strategy to assist automated buses while crossing intersections, based on the predictions of the motions of oncoming vehicles. The speed of the automated ego vehicle would be optimized to minimize the risk of collision with the oncoming vehicles. Monte Carlo simulations were performed to evaluate the performance of the proposed method. It was demonstrated that the proposed speed control strategy was effective in reducing the risk of collision while passing through intersections.