Rancang Bangun Aplikasi Tracking Kendaraan Berbasis Android

Centered light and heavy equipment rental services are services that have a high risk of loss. Most car tracking systems are still web-based, making it difficult to track and update vehicle rental unit information. In this study, the authors carried out several stages, namely interviews with related parties and following the vehicle tracking process through an ongoing system. Then proceed with an analysis of the needs of the ongoing system development. The programming language used in the development of this system is Android Studio, along with Google Maps and the use of GPS that is needed, which uses the MySql database. The development of a vehicle tracking application will maximize the existing GPS on the vehicle and the functions of Google Maps. With the Android-based vehicle tracking application, it is hoped that it will make it easier for employees and consumers to carry out the process of searching for data and information, as well as tracking units that run in a short time.Jasa rental kendaraan ringan dan alat berat merupakan jasa yang memiliki resiko kehilangan yang tinggi, kebanyakan saat ini sistem tracking kendaran mobil masih berbasis web sehingga sulit untuk melakukan pelacakan dan kebutuhan informasai update unit rental kendaraan. Pada penelitian ini penulis melakukan beberapa tahapan yaitu wawancara dengan pihak terkait dan mengikuti proses tracking kendaraan melalui system yang sedang berjalan . Kemudian dilanjutkan dengen analisis keperluan pengembangan sistem yang sedang berjalan. Bahasa program yang digunakan dalam pengembangan sistem ini adalah Android studio, Goggle Maps dan dan pemanfaatan GPS yang di perlukan serta menggunakan database MySql. Pengembangan aplikasi tracking kendaraan akan memaksimalkan GPS yang ada pada kendaraan dan fungsi dari Google Maps. Dengan adanya aplikasi tracking kendaraan Berbasis Android diharapkan dapat memudahkan karyawan serta kosumen untuk melakukan proses pencarian data dan informasi, serta pelacakan unit yang berjalan secara singkat

IOT Cloud Based Real Time Automobile Monitoring System

Smart sensing has had a significant impact on defining our future in recent years. The field of IOT is a recent technical innovation that has caused a change in lifestyle (Internet of things). IoT refers to the internetworking of physical equipment and other items that are equipped with electronics, software, sensors, and network connectivity to allow data to be collected from them. Transportation is a booming industry in India, with the number of vehicles on the road increasing by the day. Monitoring vehicle metrics such as gasoline, temperature, and battery level without having to touch the car is perfect. In this digital age, a digital locking mechanism is desperately needed. When your vehicle is not with you, vehicle tracking is also essential. Here, car tracking is designed using GPS to conveniently locate the user's vehicle. The IoT cloud-based real-time automotive monitoring system is capable of monitoring our vehicle's metrics such as fuel level, battery level, engine temperature, and speed, as well as tracking the driver's alcohol percentage via an Android application. We receive an alert when one of these metrics crosses a certain threshold. Its Smart RFID digital key secures your vehicle even more than keys do. We may save our vehicle documents, driver's licences, insurance copies, and other documents in this project's Android application. Whenever an accident occurs, send a message to trusted people with the location

Object tracking system with smart phone using GPS

Vehicle Security has become one of the major problems for distributers in business. Many researchers and developers are concerned on designing and implementing systems based on Wireless mass media communication technology. In Sri Lanka, several distributers imminent and as soon as they terminate the business with lost. Thus, this paper propose a solution to their lost through design and implementation of an Object Tracking System (OTS) based on Global Positioning System (GPS) that aims to track the vehicle in the city and all over the world. The OTS consists of an Android Application that will be connected with a Web Application through the internet. These applications enable to get the Latitudes and Longitudes of the vehicle’s location using an Android device, and then send those GEO points to the server and finally display their position on digital map (Google map) using a marker in computer

Android based vehicle tracking system / Omer Ali Abubakr Abd Elrhman … [et al.]

Android, as an operating system, has provided users with great opportunity to innovate and get things done in a mobile device. This paper presents how to use the GPS technology in Android devices to complete an interactive application which can be used to monitor a fleet of vehicles and display their positions on Google Maps. By using SMS messages, this information can be transmitted to the server. It provides a telemonitoring system for distribution or transportation vehicles owned by a specific company. The whole system is made of two key parts. The first one is the client, which represents an Android application that is installed in the vehicle. During a vehicle’s motion, its location can be reported by SMS messages. The second is the server, which is a computer programme representing a map using Google Maps to show the last known locations of all tracked vehicles. The current system is able to provide the monitoring process from anywhere. The purpose of this system is to use the Android platform to provide the following features: i) Location information (longitude, latitude). ii) Real time tracking using SMS. iii) Map View of all vehicles’ locations. This system is needed by many companies to monitor illegal and unethical use of their vehicles. It also provides assurance that the location of the vehicle is known in the case of robbery

Sistem Monitoring Kendaraan Secara Real Time Berbasis Android menggunakan Teknologi CouchDB di PT. Pura Barutama

PT. Pura Barutama is a company with many production areas. Products that have been produced will be delivered to some destinations using company's vehicles. Those vehicles are managed by Vehicle Unit of PT. Pura Barutama. Based on the research, there is a problem in the term of vehicle tracking and monitoring. The delay of product delivery is often occur for no apparent reason from the drivers. Previously, Vehicle Unit already has a GPS Tracker installed on each vehicle, but this GPS Tracker can only be triggered using SMS to send the location of vehichles. This method causes the lack of tracking and monitoring information obtained by the company. This research developed a new model of tracking and monitoring system based on Android platform. CouchDB technology is also used to provide a real time tracking and monitoring system. The test result shows that this new system has advantages compared with the old tracking system and can be used to replace the old system

DRUNK & DRIVE DETERRENCE SYSTEM USING PIC18F542 MICRO CONTROLLER

An innovative low cost ‘Drunk & Drive Deterrence System’ is designed and implemented by tracking a vehicle with drunk drive from any location at any time. The system made good use of a popular technology that combines a smart phone application with a microcontroller. The in-vehicle device works using Global Positioning System (GPS) and Global System for Mobile Communication (GSM) technology for tracking the intended vehicles. A PIC18F542 microcontroller used to control the Sensors, GPS and GSM modules. The drunken state of the driver is detected by an onboard alcohol detector. The GSM module is used to transmit an ALERT and update the vehicle location to the designated android mobile of law enforcing agency.  The Google Maps API have been used to display the vehicle location on the map in the Smartphone application. Thus, the developed facility enables the law enforcing agency to track the vehicle with drunken driver easily using their android based mobile phones

PinMe: Tracking a Smartphone User around the World

With the pervasive use of smartphones that sense, collect, and process valuable information about the environment, ensuring location privacy has become one of the most important concerns in the modern age. A few recent research studies discuss the feasibility of processing data gathered by a smartphone to locate the phone's owner, even when the user does not intend to share his location information, e.g., when the Global Positioning System (GPS) is off. Previous research efforts rely on at least one of the two following fundamental requirements, which significantly limit the ability of the adversary: (i) the attacker must accurately know either the user's initial location or the set of routes through which the user travels and/or (ii) the attacker must measure a set of features, e.g., the device's acceleration, for potential routes in advance and construct a training dataset. In this paper, we demonstrate that neither of the above-mentioned requirements is essential for compromising the user's location privacy. We describe PinMe, a novel user-location mechanism that exploits non-sensory/sensory data stored on the smartphone, e.g., the environment's air pressure, along with publicly-available auxiliary information, e.g., elevation maps, to estimate the user's location when all location services, e.g., GPS, are turned off.Comment: This is the preprint version: the paper has been published in IEEE Trans. Multi-Scale Computing Systems, DOI: 0.1109/TMSCS.2017.275146

Adaptive tracking of people and vehicles using mobile platforms

Tracking algorithms have important applications in detection of humans and vehicles for border security and other areas. For large-scale deployment of such algorithms, it is critical to provide methods for their cost- and energy-efficient realization. To this end, commodity mobile devices have significant potential for use as prototyping and testing platforms due to their low cost, widespread availability, and integration of advanced communications, sensing, and processing features. Prototypes developed on mobile platforms can be tested, fine-tuned, and demonstrated in the field and then provide reference implementations for application-specific disposable sensor node implementations that are targeted for deployment. In this paper, we develop a novel, adaptive tracking system that is optimized for energy-efficient, real-time operation on off-the-shelf mobile platforms. Our tracking system applies principles of dynamic data-driven application systems (DDDAS) to periodically monitor system operating characteristics and apply these measurements to dynamically adapt the specific classifier configurations that the system employs. Our resulting adaptive approach enables powerful optimization of trade-offs among energy consumption, real-time performance, and tracking accuracy based on time-varying changes in operational characteristics. Through experiments employing an Android-based tablet platform, we demonstrate the efficiency of our proposed tracking system design for multimode detection of human and vehicle targets.publishedVersionPeer reviewe