An Approach for Prioritizing Emergency Vehicle and Efficient Traffic Flow
Keywords:
Raspberry pi-3, Piezoelectric, IR Sensor, RF Signal Transmitter ReceiverAbstract
The aim of this paper is to prioritize emergency vehicles and to ensure the smooth motion and efficient flow of vehicles by reducing the traffic volume, overall waiting time and travelling time of the people. As population increases, the use of automobiles increases day by day which lead to serious dilemma. A proposed system uses the Raspberry pi-3 that evaluates the traffic density using the piezoelectric material and IR sensor which accomplishes dynamic timing slot according to the traffic density and the RF transmitter receiver is used to prioritize the emergency vehicle which stuck in the overcrowded roads and allow the smooth motion of vehicles. Therefore this system provides the fast, efficient traffic control for our nation development.
References
- Junchen Jin and Xiaoliang Ma, "A Decentralised Traffic Light Control System based on Adaptive Learning", International Federation of Automatic Control, 2017.
- Dihau Sun, Cheng Zhang, Min Zhao, LinjiangZheng, "Traffic Congestion Pattern Detection Using an Improved Mc Master Algorithm", IEEE conference 2017.
- T. Sridevi, kuruvaHarinath and P. Swapna, "Automatic Generation of Traffic Signal based on Traffic Volume", 2017 IEEE 7th International Advance computing conference,423.
- AntrikshSaini,ShivamChandok and PankajDeshwal, "Advancement of Traffic Management system using RFID", 2017 IEEE International conference, 1254.
- Jin, J. Max and Konsonen, I.(2016), "An Intelligent control system for traffic lights with simulation based evaluation. Control Engineering Practice.
- Puneet Kumar Aggarwal, Prashant Nigam and VineetShrivastava,"Self Controlled Traffic Management Using Autonomic system", 2016 IEEE International conference.
- Bilal Ghazal, Khaled ELkhatib, Khaled Chahine and Mohammad Kherfan,"Smart Traffic Light Control System", 2016 IEEE International Conference 140.
- Jin, J.Ma,X and Kosonen, I. (2015),"Stochastic Optimization of Group-based Signal Control and Coordination using Traffic Simulation". In Transportation Research Board Annual Meeting, 94th, 2015, Washington, Dc, USA, 389-403.
- G.Kavya and B.Saranya, "Density based Intelligent Traffic Signal System using PIC Microcontroller", International journal of research in applied science & Engineering Technology, Vol.3, ISSUE I, pp. 205-209, Jan 2015.
- Le, T., Kov’acs, P.,Walton, Andrew, L.L, and Hoogendoorn, S.S (2015). Decentralized Signal control for Urban road networks. Transportation Research Part C: Emerging Technologies,58, 431-450.
- Mohammad Shahab Uddin Ayon Kumar Das, Md. Abu Taleb, Real time Area based Traffic Density Estimation by Image Processing for Traffic signal Control System: Bangladesh Perspective|| IEEE 21-23 May 2015.
- Ryotaro Yamazaki, Tatsuchi Nishi, "An Optimization Approach for Congestion Management Traffic Signal control systems via First Order Hybrid Petri Nets", 2015 IEEE International Conference 1252.
- N. Kham and C. Nwe, "Implementation of modern traffic light control system", International journal of scientific and research publications, Vol. 4, Issue 6, Jun-2014.
- Isa, N. Shaari, A. Fayeez, and N. Azlin,"Portable wireless traffic light system", International journal of engineering and technology, Vol.3, Issue2, pp. 242-247,Feb-2014.
- E. Geetha, V. Viswanadha, and G. Kavitha, "Design of intelligent auto traffic signal controller with emergency override", International journal of engineering and innovative technology, Vol. 3, Issue 4,pp. 670-675, July-2014.
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