Multi-Agent Based Traffic Signal Optimization under Fully Actuated Control
Pushpi Rani1, Dilip Kumar Shaw2
1Pushpi Rani, Department of Computer Applications, National Institute of Technology Jamshedpur, India; Department of Information Technology, University College of Engineering and Technology, Vinoba Bhave University, Hazribag, Jharkahnd, India
2Dilip Kumar Shaw, Department of Computer Applications, National Institute of Technology Jamshedpur, India
Manuscript received on 23 August 2019. | Revised Manuscript received on 04 September 2019. | Manuscript published on 30 September 2019. | PP: 2255-2262 | Volume-8 Issue-11, September 2019. | Retrieval Number: K20580981119/2019©BEIESP | DOI: 10.35940/ijitee.K2058.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents a multi-agent based distributed traffic control model to optimize the traffic signal for multiple intersections. Previous works in the area of traffic signal control suffer from a number of inadequacies, including the use of fixed cycle length, centralized mode of operations and dependency on historical data. Considering these, the aim of this work is to control the traffic signal timings by adjusting the phase sequence in order to minimize the delay in traffic at the intersections. To model the traffic network, a three-tier multi-agent system has been adopted in distributed mode. In addition, a fully actuated signal control algorithm is designed and it utilizes state-space equations to formulate the queue length at the green light phase and red light phase. The proposed model is simulated with SUMO simulator and a comparative analysis has been made between adaptive control method, multi-agent method based on collective learning and multi-agent based fully actuated control method on a similar platform. The results spectacle the proposed traffic control model outperforms that of other existing control methods in all condition; hence it can be deployed to control the tremendous traffic on the road network and to optimize the traffic signal in more effective manner.
Keywords: Distributed system, Multi-agent, Queue length, Traffic delay, Traffic optimization.
Scope of the Article: