Emergency Vehicle Priority Based System
DOI:
https://doi.org/10.32628/CSEIT217461Keywords:
GPS Tracking Ambulance, formatting, distance measure technique, priority vehicle, emergency lights, control traffic monitor for priority based.Abstract
Every country's vehicular traffic is increasing, growing, and there is terrible traffic congestion at intersections. In the current case, most traffic lights have a fixed light sequence, so green light sequence is to determine with-out taking priority vehicles into account. As a result, priority crews such as police cars, ambulances, fire engines are still unable to perform, get stuck in traffic and come in late, which can result in the loss of valuable property and life, which does happen on occasion. The green light sequence is evaluated given the current state of traffic, without taking into account the existence of emergency vehicles. Our aim to this paper is to present a mechanism for scheduling emergency vehicles. It is provided to important such as access control protocol to convey emergency vehicle information to the Traffic Management Center (TMC) with time delay and to all alerts while using GPS techniques for acquiring emergency vehicle information. Only then is the emergency vehicle quickly dispatched, and the destination is reached on time. It would be helpful in the future for the prominence of casual vehicles.
References
- Hegde R., Sail R.R., Indira S.M. RFID and GPS based automatic lane clearance system for ambulance. Int. J. Adv. Elect. Electron. Eng. 2013;2:102–107.
- Abubakr S.E., Halla O.A., Tahani A.A. A GPS based traffic light pre-emption control system for emergency vehicles; Proceedings of the IEEE International conference on Computing, Electrical and Electronics Engineering; Khartoum, Sudan. 26–28 August 2013; pp. 724–729.
- 1. Djahel S., Smith N., Wang S., Murphy J. Reducing emergency services response time in smart cities: An advanced adaptive and fuzzy approach; Proceedings of the IEEE First International Smart Cities Conference (ISC2); Guadalajara, Mexico. 25–28 October 2015; pp. 1–8.
- National Highway Traffic Safety Administration (NHTSA) and the Economic and Social Impact of Motor Vehicle Crashes. [(accessed on 14 December 2015)]
- Statistics on Emergency Vehicle Accidents in the U.S. [(accessed on 5 December 2015)]
- . Adnan M.A., Hancke G.P. An Efficient Distributed Localization Algorithm for Wireless Sensor Networks: Based on Smart References Selection Criteria. Int. J. Sens. Netw. 2013;13:94–111.
- AI-Ostath N., Selityn F., AI-Roudhan Z., EI-Abd M. Implementation of an emergency vehicle to traffic lights communication system; Proceedings of the 7th International Conference on New Technologies, Mobility and Security (NTMS); Paris, France. 27–29 July 2015; pp. 1–5.
- Rajeshwari S., Santhoshs H., Varaprasad G. Implementing intelligent traffic control system for congestion control, ambulance clearance and stolen vehicle detection. IEEE Sens. J. 2015;15:1109–1113. [Google Scholar]
- Sireesha E., Rakesh D. Intelligent traffic light system to prioritized emergency purpose vehicles based on wireless sensor network. Int. J. Res. Stud. Sci. Eng. Technol. 2014;1:24–27. [Google Scholar]
- Shruthi K.R., Vinodha K. Priority based traffic lights controller using wireless sensor networks. Int. J. Electron. Signal Syst. 2012;1:58–61. [Google Scholar]
- Hussian R., Sandhy S., Vinita S., Sandhya S. WSN applications: Automated intelligent traffic control system using sensors. Int. J. Soft Comput. Eng. 2013;3:77–81. [Google Scholar]
- Nabeel M.M., EI-Dien M.F., EI-Kader S.A. Intelligent vehicle recognition based on wireless sensor network. Int. J. Comput. Sci. Issues. 2013;10:164–174. [Google Scholar]
- Nellore K., Melingi S.B. Automatic Traffic Monitoring System Using Lane Centre Edges. IOSR J. Eng. 2012;2:1–8. [Google Scholar]
- Uddin S.M., Das K.A., Taleb A.M. Real-time area based traffic density estimation by image processing for traffic signal control: Bangladesh perspective; Proceedings of the IEEE International Conference on Electrical Engineering and Information Communication Technology (ICEEICT); Dhaka, Bangladesh. 21–23 May 2015; pp. 1–5. [Google Scholar]
- Traffic Signal Preemption for Emergency Vehicles. [(accessed on 5 December 2015)]; Available online: http://ntl.bts.gov/lib/jpodocs/repts_te/14097_files/14097.pdf.
- Farheena S., Chandak B.M. An approach towards traffic management system using density calculation and emergency vehicle alert. IOSR J. Comput. Sci. 2014;4:24–27. [Google Scholar]
- Bharadwaj R., Deepak J., Baranitharam M., Vaidehi V.V. Efficient dynamic traffic control system using wireless sensor networks; Proceedings of the IEEE International Conference on Recent Trends in Information Technology (ICRTIT); Chennai, India. 25–27 July 2013; pp. 668–673. [Google Scholar]
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT

This work is licensed under a Creative Commons Attribution 4.0 International License.