Abstract
Autonomous and intelligent system show a remarkable step in urban traffic management. Autonomous Intersection Management (AIM) is an outstanding example of using an autonomous vehicle and wireless communication technology. The traffic performance of a single AIM system has been proved in many works however, traffic in the network of multiple AIMs is waiting for an implementation. Coordination of traffic between intersections in the network is an important step of managing the overall networked traffic throughput. The authors modeled the traffic network with the multi-agents concept and used the discrete consensus algorithm to coordinate between autonomous agents and implemented the rerouting algorithm in order to distribute the excessive traffics to neighbored intersections with the optimal condition. Our target is to have a balance traffic in each intersection and reaches the equilibrium where the stability has been not compromised. The results show that reaching consensus condition will bring the networked traffic to an equilibrium state where a peak traffic will not be happened. In addition, this method shows that when traffic in a network reached consensus, it will also converge to the Nash equilibrium in the finite time.
Highlights
Traffic safety is always the top objective for developing road transportation since it must certainly guarantee the safety of every road user, drivers and passengers and any road participant like cyclist and pedestrians must be protected
The author improved the Autonomous Intersection Management (AIM) system to handle the heterogeneous traffic by adding the route assignment process to help the consensus-based AIM to distribute the excessive vehicles to other routes with the local optimal choice based on using greedy algorithm
The first experiment showed that with using route assignment and have sufficient candidate routes, traffic in the network can be balanced in the finite time
Summary
Traffic safety is always the top objective for developing road transportation since it must certainly guarantee the safety of every road user, drivers and passengers and any road participant like cyclist and pedestrians must be protected. To maintain the traffic at equilibrium, the coordination method of using feedback consensus is proposed to distribute number of vehicles on each road in the network under the free flow condition. The amount of vehicles drives on each road represents as the flow on the edge, each single intersection in AIM can measure the local traffic density by counting the requested messages that are transmitted from the incoming vehicles over the V2I communication. The route assignment process is implemented for the further improvement to assist the consensus coordination when the traffic condition is become congested It supports an intersection manager distribute an excessive vehicles to the neighborhoods, where have a lower density. It can normally evaluate traffic situation whether congested or uncongested It uses to activate the route assignment in this AIM closed loop control.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
