An IoT-based Framework of Vehicle Accident Detection for Smart City

AbstractSmart sensors have revolutionized the world with their capability of capturing physical parameters. The sensors provide vital data to the monitoring station in the applications of environment, disaster management, transportation, etc. A framework is built up with an Internet of Things-based approach that detects vehicle accident with the sensors and the information is stored and monitored on the Thingspeak cloud. The alert is raised whenever an accident occurs to the vehicle with the help of an accelerometer, ultrasonic sensor, and GPS. The message of the real-time coordinates is transmitted with the communication module. The monitoring station takes the necessary action by recognizing the accident occurred and providing the emergency services to the hotspot immediately. The integrated approach will be beneficial as it will detect any mishap with the vehicle and facilitate the emergency help to the passengers in the vehicle. The proposed framework will be beneficial for saving the human life in any smart city.KEYWORDS: AccelerometerCloud computingGPSInternet of ThingsSmart city Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsPankaj P. TasgaonkarPankaj P Tasgaonkar is a PhD candidate in geomatics, civil engineering department at Indian Institute of Technology, Roorkee. His area of interest is internet of things, wireless sensor networks, remote sensing, and geographic information systems. He has 15 years of teaching and research experience. Corresponding author. Email: pankajtgr@ce.iitr.ac.inRahul Dev GargRahul Dev Garg is professor in geomatics, civil engineering department at Indian Institute of Technology, Roorkee. He obtained his doctorate from IIT, Roorkee. His research interest includes remote sensing, digital image processing, hyperspectral remote sensing, thermal and microwave remote sensing, geographic information system, WebGIS, GPS, LiDAR, UAV, and land surveying. He has total 30 years of teaching and research experience. Email: rdgarg@ce.iitr.ac.inPradeep Kumar GargPradeep Kumar Garg is professor in geomatics, civil engineering department at Indian Institute of Technology, Roorkee. He received PhD from University of Bristol, UK. His area of specialization is satellite image analysis, landuse mapping, land surveying, digital image processing, GPS survey, and GIS. He has total 40 years of teaching and research experience. Email: pkgargiitr@gmail.com