GPS and GSM Based Accident Location Indicator and Rescue System
DOI:
https://doi.org/10.53555/nneee.v2i3.215Keywords:
GSM and GPS, ARM 7 PROCESSOR, SENSOR, LCD, MAX232Abstract
Traffic congestion and tidal flow management were recognized as major problems in modern urban areas, which have caused much crossing for the ambulance. Morethan road accidents in the city have been incessant and to bar the loss of life due to the accidents is even more crucial. To implement this we introduce a scheme called AARS (Automatic ambulance rescuable system). The main theme after this scheme is to provide a smooth flow for the ambulance to reach the hospitals in time and thus minifying the expiration. The idea after this scheme is to implementable an IT’s which would control mechanically the traffic lights in the path of the ambulance. The ambulance is controlled by the central unit which furnishes the most scant route to the ambulance and also controls the traffic light according to the ambulance location and thus reaching the hospital safely. The server also decides the location of the accident spot through the sensor systems in the vehicle which encountered the accident and thus the server walks through the ambulance to the spot. This scheme is fully automated hence it finds the accident spot, controls the traffic lights, serving to reach the hospital in time.
References
Zhang Went, Research on embedded positioning system of vehicle, Manufacturing Automation, Vol 32, pp.152-154, July 2010
Wang Lei, Jiang Bing, Chen Wenjian, Design of onboard navigation system based on ARM platform, Microprocessor, Vol 6, pp.104-106, June 2006
Zhaosheng Yan. Study on the schemes of traffic signal timing of Priority Vehicles Based on Navigation System, 2000.
J-P. Hubaux, S.C Apkun, and J.Lue,”The security and pricacy of smart vehicle,”IEEE Security & Privacy Magazine, Vol. 2, no. 3, pp.49-55, 2004.
Alison Brown, JaconGriesbach and Bruce Bockius, “GPS tracking location based service using wrist watch GeoZigzbee Sensors”, Proceddings of ION NTM, 2007, Som Diego, pp 1-10, December 2007.
Youjing Cui and Shuzhi Sam Ge, “Autonomous vehicle positioning with GPS in urban canyon environments”, IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, vol. 19, NO.1, pp 15-25, February 2003.
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
