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Automatic Traffic Light Control for Emergency Vehicle

S. Parameswaran, S. Priyanka, E. Velmani, P. Shenbaga Priya, R. Vasanth

Abstract


The paper describes the design of an intelligent auto traffic signal control system. Traffic congestion is the major issues that would be considered. At the junctions of the road, vehicular traffic intersects and it can be controlled by the traffic signals. One of the main need of the traffic signal is that good coordination and control among the vehicles. The traffic on the road is very high during the peak hours. This leads to the emergency vehicles to stick in the traffic jam. Dynamic control of traffic is needed during peak hours. Hence we propose an automatic traffic light control for emergency vehicles. The traffic light in the path of any emergency vehicles is controlled. It does not depend on the way of monitoring people to be manual which results in time delay. So, Human life is not affected due to the time delay in the arrival emergency vehicles. To control the traffic, the man power is not required in this method. The emergency vehicles find the shortest path to the location of the accident. If the train crosses the junction, the emergency vehicle gets alerted before five km. In front of the   zebra line crossing, a divider can be created for safety crossing of people. The system uses AT mega 8micro controller, IR sensors. This system is used to control the traffic lights. And also save the time in emergency periods.


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References


G. Varaprasad and R. S. D. Wahidabanu, “Flexible routing algorithm for vehicular area networks,” in Proc. IEEE Conf. Intel. Transp. Syst. Telecommun., Osaka, Japan, 2010, pp. 30–38.

B. P. Gokulan and D. Srinivasan, “Distributed geometric fuzzy multiagent urban traffic signal control,” IEEE Trans. Intel. Transp. Syst., vol. 11, no. 3, pp. 714–727, Sep. 2010.

K. Sridharamurthy, A. P. Govinda, J. D. Gopal, and G. Varaprasad, “Violation detection method for vehicular ad hoc networking,” Security Commun. Netw. to be published. [Online]. Available: http://onlinelibrary.wiley.com/doi/10.1002/sec.427/abstract

M. Abdoos, N. Mozayani, and A. L. C. Bazzan, “Traffic light control in non-stationary environments based on multi agent Q-learning,” in Proc. 14th Int. IEEE Conf. Intel. Transp. Syst., Oct. 2011, pp. 580–1585.

ZigBee Specifications, ZigBee Alliance IEEE Standard 802.15.4k2013, 2014. [Online]. Available: http://www.zigbee.org/Specifications.aspx

Traffic Congestion in Bangalore—A Rising Concern. [Online]. Available: http://www.commonfloor.com/guide/traffic-congestion-in-bangalore-arising- Concern-27238.html accessed 2013.

A. K. Metal and D. Bandar, “A novel approach to implement green Wave system and detection of stolen vehicles,” in Proc. IEEE 3rd Int. Adv. Compute., Feb. 2013, pp. 1055–1059.

S. Sharma, A. Pithora, G. Gupta, M. Goel, and M. Sinha, “Traffic light priority control for emergency vehicle using RFID,” Int. J. Innov. Eng. Technol., vol. 2, no. 2, pp. 363–366, 2013.

R. Hegde, R. R. Sali, and M. S. Indira, “RFID and GPS based automatic lane clearance system for ambulance,” Int. J. Adv. Elect. Electron. Eng., vol. 2, no. 3, pp. 102–107, 2013.




DOI: http://dx.doi.org/10.36039/AA052016007.

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