Cloud-Based Vehicle Tracking System

Abstract

The need for vehicle tracking system in real time is growth continues due to increase the cases of theft. This type of system in real time needs to transmit large data with huge number of HTTP request to the server to keep tracking and monitoring in real time, thus causes spend extremely high cost every month for transportation the information on tracking vehicles to server therefor the needs for reducing the number of transportation and data size that transmits in each HTTP request to save expenses. This paper designed and implement an integrated vehicle tracking system in real time to track vehicle anywhere and anytime. This system is divided into two parts: vehicle tracking part and monitoring part. Tracking part is represented by installation the electronic devices in the vehicle using modern Global Positioning System (GPS), microcontroller Arduino UNO R3 and SIM800L GSM/GPRS modem. GPS is determined location of the vehicle via received coordinates from satellites such as latitude and latitude with accuracy ranging approximately 2.5 meters; the coordinates faked to add a type of protection to information on vehicles without effecting on characterizing real time tracking before sending it via a General Packet Radio service (GPRS). The monitoring part is in the cloud and will receive the coordinates and displays it on a map in a web page. The main contribution of this system is it reduced data size that sent from in-vehicle device via selected only necessary data for tracking vehicle from NEMA sentences of GPS and reduced number of HTTP request that sent to remote server via constrain the transmission of information with the movement of vehicles, since when vehicle moved the coordinates each 10s and did not send anything when the vehicle stopped thus will reduce the cost of expenses every month. This system can be utilized to track and monitoring the vehicles of large universities, companies, organization and also can be used in army vehicles and police vehicles.
 
 

Design and Implementation of an Intelligent Safety and Security System for Vehicles Based on GSM Communication and IoT Network for Real-Time Tracking

“…The open nature of the platform creates vibrant individuals who are actively involved in generating and developing ideas. This dynamic environment creates a diverse ecosystem that encourages creative exploration and effective problemsolving in electronics [53].…”

Rfid-Based Users’ Localization in the Crowded Areas

“…Basically, any group of people that gathered to do any activities will have the concern for loss people of even got hurt like the concert, football matches, and marathons which held in different countries and attract more than 15000 participants [11]. Several kinds of wireless technology are used in both outdoor and indoor localization which are mainly used to track specific users in congested areas, some of these techniques are using GPS (Global Positioning System) [12], [13] however such a signal may be weak or even not available in some areas [14], [15]. Another approach that using different sensors along with the smartphone to sense a person's activity in real-time can be used as well this is called Smartphone-based Human Activity Recognition (HAR) [14].…”

“…Moreover, UWB (Ultra-Wide Band) has been used along with the traditional communication technologies, however hardware implementation of UWB is more expensive than other technology [17]. Additionally, many new technologies can be used to track or localized the users such as Bluetooth (IEEE 802.15), ZigBee, Image-Based Technologies/Cameras Based Technology [12], [17]- [20]. A crowd management system must address many issues on a priority basis.…”