Thesis (M.S.)--California State University, Fullerton, 2020
Includes bibliographical references
Congestion in traffic has become one of the significant issues over the past decades. In addition to human errors, severe weather conditions, and weak transportation system, traffic lights are one of the reasons that lead to traffic jam, especially in megacities. In the autonomous vehicles, the Dedicated Short-Range Communication system (DSRC) enables the vehicles to communicate with the surrounding vehicles and the Smart Intersections (SI). By DSRC, vehicles can exploit and share vital information such as position, acceleration/deceleration, direction, etc., with other vehicles around and with intersections when they are within the range. In this thesis, the Intersection Control System (ICS) and Local Control System (LCS) are presented for the autonomous vehicles on the roadways and at the intersections. The proposed algorithm eliminates the necessity of the traffic lights at the intersections. As a result, it decreases the number of stops on the road, fuel consumption, and ensures the vehicles' safety to cross the intersections. An appropriate simulation environment is designed and implemented to evaluate the effectiveness of the algorithm. The evaluation is done through comparison with the result of the regular traffic lights at the intersections. The simulation results have shown a significant improvement in traffic flow and arrival time at the intersection and its approaches
Electronic reproduction. Ann Arbor, Mich. : ProQuest, 2020
