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Shanmugan, K.
- IoT Based Smart Tracking and Monitoring System for Vehicle
Authors
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, IN
Source
Digital Signal Processing, Vol 11, No 3 (2019), Pagination: 48-50Abstract
Owner/Driver of the vehicle can lock/unlock car using mobile. Location of your vehicle can be tracked using GPS integrated with Google maps. While not keeping the lane, alert is given to the driver to keep lane using IR Sensor. In over-taking conditions, ultrasonic sensors at rear of car, senses vehicles at back and gives alert to driver whether to over-take or not. Also, finding of parking areas is a difficult task for all drivers. They have to drive to nearest parking area but that parking area may be filled. It increases fuel consumption in finding other parking area and also increases traffic congestion. It can be avoided by checking nearest available parking slots using Parking assistant. Also, customer can be keeping in track of their vehicle. Range finding sensors in-front of vehicles detects range between two vehicles and alerts the driver. Infotainment system gives all necessary information. Fuel level also can be monitored.
Keywords
Internet of Things, Fuel Monitoring, GSM-GPS Tracking System, Lane Keeping System.
References
- Motor vehicle, Wikipedia, “https://en.wikipedia.org/ wiki/Motor_vehicle”
- John Sousanis, WardsAuto, World Vehicle Population Tops 1 Billion Units, “http://wardsauto.com/news-analysis/ world-vehicle-population-tops-1-billion-units”
- List of countries by traffic-related death rate, “https://en.wikipedia.org/wiki/List_of_countries_by_traffic-related_death_rate”
- World Health Organization, Global status report on road safety 2015.
- D. Nejdet & S. Abdulhamit, “Traffic Accident Detection By Using Machine Learning Methods”, International Symposium on Sustainable Development, At Bosnia and Herzegovina, Volume: 2, PP 468-474, March 2012.
- H. A. Najada & I. Mahgoub, "Anticipation and alert system of congestion and accidents in VANET using Big Data analysis for Intelligent Transportation Systems," 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, 2016, pp. 1-8.
- R. Patel, V. K. Dabhi and H. B. Prajapati, "A survey on IoT based road traffic surveillance and accident detection system (A smart way to handle traffic and concerned problems)," 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), Vellore, 2017, pp. 1-7.