Road Traffic Accident Analysis of Ajmer City Using Remote Sensing and GIS Technology

Bhalla, P.; Tripathi, Shashank; Palria, S. · 2014 · OpenAlex-citations

DOI: 10.5194/isprsarchives-xl-8-1455-2014

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Summary

This study addresses the critical issue of road traffic safety in Ajmer City, Rajasthan, by demonstrating the application of Geographic Information Systems (GIS) and Remote Sensing (RS) to analyze accident patterns. The research is motivated by the inadequacy of traditional, non-spatial accident databases, which rely on summary spreadsheets and mileposts. The authors argue that 93% of crashes in India are human-induced and that a geo-referenced database is essential for identifying accident-prone sites and formulating effective traffic management strategies. The primary objective was to establish a comprehensive GIS-based accident database for Ajmer to analyze variations by year, month, vehicle type, and time, while identifying congestion areas and proposing remedial measures. The methodology involved collecting accident data from nine police stations in Ajmer for the period between 2009 and 2013, totaling 1,531 recorded incidents. Spatial data was derived from Cartosat-1 satellite imagery to extract road and rail networks and prepare Land Use/Land Cover (LULC) maps. Accident locations were mapped using GPS devices (Trimble Juno) and integrated with non-spatial data, such as First Information Reports (FIRs), into a GIS database. The analysis utilized ArcGIS to perform spatial queries and overlay accident points with infrastructure data, allowing for the visualization of accident hotspots and their correlation with urban features. The results revealed distinct temporal and spatial patterns. Temporally, the majority of accidents occurred between 4 PM and 10 PM, attributed to evening rush hours and poor street lighting. Monthly analysis showed peak accident occurrences in January, March, July, and November across different years. Spatially, accident hotspots were concentrated at Ana Sagar Link Road, Nasirabad Road, Badliya Chauraha, and Beawar Road, which serve as major tourist routes and highway gateways. Regarding vehicle types, medium vehicles (cars, jeeps, autos, taxis) were most frequently involved in accidents, followed by light vehicles (motorcycles, scooters), while heavy vehicles were primarily associated with fatal accidents on national highways. The study also identified that Adarsh Nagar Police Station recorded the highest number of accidents, partly due to tourist traffic. The significance of this study lies in its demonstration of GIS as a powerful tool for transforming ad-hoc accident handling into a systematic, scientific approach. By linking accident data with spatial infrastructure, the research provides local authorities with actionable insights to improve traffic regulation, such as enhancing street lighting and enforcing traffic rules in identified hotspots. The authors conclude that developing such geo-referenced databases for other cities can facilitate better urban planning and significantly reduce accident rates and fatalities.

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Topics

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• incidence prevalence

Information type

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• Empirical Findings: crash risk outcomes