Real-Time Accident Detection, Visualization & Analysis Using GIS

Abstract

Road accidents are a major worry in today's society because of the harm they cause to both people and property. Real-time accident detection, visualization, and analysis utilizing Geographic Information Systems (GIS) has become a promising solution to this problem. This work focuses on using the robust GIS platform ArcGIS for the analysis of historical accident data and the creation of a device that uses sensors such the Arduino Uno, accelerometer, GPS module, and GSM module for real-time accident detection. ArcGIS is used in the study's initial section to examine data on previous accidents. The historical accident data of 2020 and 2021 was collected from Islamabad Traffic Police (ITP) and integrated into ArcGIS to find accidentprone regions, patterns, and relevant variables. This study offers insightful information on accident hotspots, allowing authorities to implement targeted safety measures and improve road infrastructure. The creation of a real-time accident detection device is the subject of the study's second section. The gadget includes an accelerometer, a GPS module, a GSM module, and the open-source microprocessor Arduino Uno. The accelerometer identifies abrupt changes in motion, potentially signalizing an accident. While the GSM module permits real-time communication and reporting, the GPS module allows for exact location monitoring. The device can quickly detect accidents and provide the essential information to the appropriate authorities for rapid response by integrating these components. The suggested system has a number of benefits. First and foremost, the use of GIS makes it possible to analyse historical accident data thoroughly, facilitating the application of evidence-based judgment and individualized actions. Second, the real-time accident detection tool makes sure that reports are made and responses are given on time, potentially cutting down on reaction times and minimizing the severity of accidents. Furthermore, an affordable and expandable accident detection solution is provided by the combination of an Arduino Uno and several sensors. In conclusion, a promising strategy to reduce traffic accidents combines real-time accident detection, visualization, and analysis using GIS with the construction of a device containing Arduino Uno and sensors. This study highlights the usefulness of a real-time accident detection system and shows the potential of ArcGIS for historical data analysis. The use of such a system can help to increase traffic safety, improve emergency response, and stop future collisions.