(2019) Design and Implementation of a Customable Automatic Vehicle Location System in Ambulances and Emergency Vehicle Systems. J Med Signals Sens. pp. 165-173. ISSN 2228-7477 (Print) 2228-7477 (Linking)
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Abstract
Background: Automatic vehicle location (AVL) refers to a system that calculates the geographical location of any vehicle, i.e., latitude and longitude. Vehicle location information about one or more moving vehicles can be stored in the internal memory and accessed when vehicles are available (offline tracking). It is also possible to get location information on a real-time basis (online tracking). The real-time tracking systems designed to date may incorporate three devices: global positioning system (GPS), geographic information system, and cellular communication platforms that may be either a general packet radio service (GPRS) or any private and local radiofrequency network. Methods: The GPS-based navigation system has been designed so as to allow for user-friendly real-time tracking applications for any emergency vehicles like ambulances. First, GPS coordinates are obtained from the SIM908 module and sent via to a server transmission control protocol/internet protocol. Server codes, which are written in C#, load Google map to show real-time location. Results: We designed online tracking AVL hardware in the two simple and advanced versions. The latter enables both the ambulance driver and the data center to monitor path real-time besides enabling the vehicle driver to receive and make calls and send or receive messages. The former only sends latitude and longitude to the data server continuously, and the path travelled by vehicle is displayed. Conclusion: SIM908 integrates GSM, GPRS, and GPS in one package. It can be a proper choice for real-time economic tracking systems despite its low accuracy in finding geolocations.
Item Type: | Article |
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Keywords: | Automatic vehicle location Google map general packet radio service geographic information system global positioning system latitude longitude transmission control protocol/internet protocol vehicle tracking |
Subjects: | QT Physiology > QT34-37 Physics. Mathematics. Engineering |
Divisions: | Medical Image and Signal Processing Research Center School of Advanced Technologies in Medicine > Department of Bioelectrics and Biomedical Engineering |
Page Range: | pp. 165-173 |
Journal or Publication Title: | J Med Signals Sens |
Journal Index: | Pubmed |
Volume: | 9 |
Number: | 3 |
Identification Number: | https://doi.org/10.4103/jmss.JMSS₄₁₁₈ |
ISSN: | 2228-7477 (Print) 2228-7477 (Linking) |
Depositing User: | Zahra Otroj |
URI: | http://eprints.mui.ac.ir/id/eprint/11783 |
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