Design of an Agent-Based Traffic Control System
Adegoke Ojeniyi1, Taye Aro2, Ang Moon Thiak3
1Adegoke Ojeniyi, Head, Artifi Department of Computer Science, Kola Daisi University, Ibadan, Nigeria.
2Taye Aro, Department of Computer Science, Kola Daisi University, Ibadan, Nigeria.
3Ang Moon Thiak, Othman Yeop Abdullah (OYA) Graduate School of Business, Universiti Utara Malaysia.
Manuscript received on 27 September 2019 | Revised Manuscript received on 09 November 2019 | Manuscript Published on 22 November 2019 | PP: 71-76 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F10120986S319/19©BEIESP | DOI: 10.35940/ijeat.F1012.0986S319
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© 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: Traffic control system is an imperative instrument in traffic management and smart urban development. However, most of the current traffic control systems cannot intercommunicate nor interact with each other. Most importantly, none of these systems are proactive and reactive to their immediate traffic environment. Thus, this study explores the design of an agent-based traffic control system where traffic lights can interact and inter-communicate to take prompt traffic control decisions within a traffic area. The study presents an agent-based traffic control system known as ATC. ATC system design was done using Design Science Research Process Model while the system was evaluated using qualitative research methodology. The study argues that there is need for traffic control system to be more reactive and proactive to their immediate traffic environment in order to limit traffic jam in urban areas.
Keywords: Agent-Based System, Agent-Based Traffic System, Interactive System, Traffic Control, Urban Traffic Control.
Scope of the Article: Signal Control System & Processing