Applying intelligent agents in traffic control for traffic intersection groups

Abstract

Improving the efficiency of the transportation systems is essential for our economic and environment. Applying intelligent agents in traffic control for traffic intersection groups has been suggested in the past. The intersection agents use fuzzy control strategy and have coordination ability. By using traffic detectors, agents can get real-time traffic information to calculate optimal signal settings and quickly respond to incidents. In this thesis, we present an application of intelligent agents in traffic control for traffic intersection groups. In our research, an algorithm is proposed to calculate the most impacted route during a traffic incident. A technology called green light bandwidth adjustment is then applied to relieve the traffic jam. We use the software "DynaTAIWAN" to verify the effectiveness of our approach. © 2013 Springer Science+Business Media.