| Título: | Architecture and Implementation of Real Time Vehicle Tracking System Using Wireless, Sensor Devices and Google Maps API |
| Autores: |
Syed, Khizar Ahmed; Empowered Security Labs PVT LTD Sreenivasiah, Kiran Kumar; Software Development Engineer in the Tracking Solutions Department Ahmed, S. M.; Software Development Engineer in the Tracking Solutions Department Kumar, Shiva; Software Development Engineer in the Tracking Solutions Department |
| Fecha: | 2012-12-25 |
| Publicador: | International journal of computer and electronics research |
| Fuente: |
 |
| Tipo: | Peer-reviewed Article |
| Tema: |
Vehicle Tracking; Wireless Sensor Devices; Positioning Telecommunication Technologies; Web Information Systems; Embedded System; Computer Vision, Graphics and Intelligence |
| Descripción: | The integration of different technologies potentially provides support to wide variety of applications and systems with vastly varying requirements and characteristics. Vehicle tracking system is one of such applications possible by embedding wireless sensor devices on the vehicles. The motor carrier industry has been investing in and implementing vehicle tracking, for a number of reasons, particularly the increase in efficiency achieved through better management of both personnel (drivers) and assets (trucks or, as they are known, tractors; cargo loads; and trailers). Recently, Vehicle Tracking Systems (VTS) are developed and deployed in numerous environments. These systems are capable of transmitting vehicle’s location information and other custom parameters in real time. In these systems, the device installed in the vehicle can transmit the location information, speed of the vehicle at that particular instance, total kilometer run of the vehicle, ignition status, battery status and many other custom parameters in real time to a remote data centre using SDCP protocol. In this paper, we present the design and implementation of a real time VTS that incorporates a hardware device installed in the vehicle and a remote data center with tracking sever and a web application with Google Maps API to depict the trail of the vehicle. |
| Idioma: | Inglés |
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