Fuzzy Vehicle Control System for Single Intersection
Shashank Sahu1, Rashi Agarwal2, Rajesh Kumar Tyagi3
1Shashank Sahu, Research Scholar, Associate Professor, Department of Computer Science & Engineering, Sharda University, Greater Noida (U.P), India.
2Rashi Agarwal, Department of Computer Applications, Galgotias College of Engineering & Technology, Greater Noida (U.P), India.
3Rajesh Kumar Tyagi, Department of Computer Science & Engineering, Amity University, Gurugram (Haryana), India.
Manuscript received on 05 August 2019 | Revised Manuscript received on 28 August 2019 | Manuscript Published on 05 September 2019 | PP: 457-462 | Volume-8 Issue-2S7 July 2019 | Retrieval Number: B10850782S719/2019©BEIESP | DOI: 10.35940/ijrte.B1085.0782S719
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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 light at the intersection is an important part of the daily life of the urban cities. Traffic light needs to be managed properly so that a large number of vehicles able to cross the intersection. Current traffic light system is not able to allot efficient traffic light cycle length to vehicles. It is because of the traffic system is based on the fixed cycle length. Today traffic is highly fluctuating. Number of vehicles in the traffic varies with respect to time and day. To handle this situation, the paper proposes a vehicle control system using fuzzy logic: Fuzzy Vehicle Control System (FVCS). FVCS allots dynamic cycle length signal duration to vehicles based on the present traffic available at the intersection. Experiments have been performed on the proposed FVCS architecture using MATLAB. Experiments show that a reduction of 28.92% can be achieved in the number of vehicles that are waiting at the intersection to cross it.
Keywords: Cycle Length, Green Light Time, Intersection Fuzzy Logic, Vehicle Control System.
Scope of the Article: Fuzzy Logics