Density based Traffic Control System Embedded with Patient Weightage Method
Shyamala S1, R.Ranjith2
1Shyamala S, Department of Electrical and Electronics Engineering Amrita School of Engineering, ,Amrita Vishwa Vidyapeetham, Coimbatore ,India.
2R. Ranjith, Department of Electrical and Electronics Engineering Amrita School of Engineering, ,Amrita Vishwa Vidyapeetham, Coimbatore ,India.
Manuscript received on 05 September 2019 | Revised Manuscript received on 29 September 2019 | Manuscript Published on 29 June 2020 | PP: 377-381 | Volume-8 Issue-10S2 August 2019 | Retrieval Number: J106708810S19/2019©BEIESP | DOI: 10.35940/ijitee.J1067.08810S19
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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: Every now and then traffic congestion has always been a hindrance in everyone’s normal life routine. This traffic congestion hindrance is very much problematic in case of high priority emergency vehicles namely ambulances, VIP vehicles, fire engines etc. So, traffic control has to be made proficient to provide smooth flow of vehicles. However, efficient synchronization of traffic at multiple junctions is complex. Conventional control systems do not handle the dynamic flow of traffic which results in chaos. In this project, implementation of an emergency vehicle detection system is done. The main objective is to provide a traffic-free route to the vehicles in order to save life. In this paper two cases are considered, in the initial case, the lane density at the junction will be calculated using ultrasonic sensors by Raspberry pi (Rpi) and the lane with minimal density route will be directed to the emergency vehicle NodeMcu in this case. Considering the assumption that hospital is present near to every lane. And in the second case, the conflict arises when two emergency vehicles are encountered at the same time at a junction, so this conflict is resolved in thispaper
Keywords: Intelligent Traffic management System, NodeMcu, Raspberry pi, Ultrasonic sensors, Ambulance, Priority.
Scope of the Article: Signal Control System & Processing