- Student GEETANJALI PANDAGRE
- Code PGE22119
- Faculty Technology
- Tutor/s Shaily Gandhi,Manushi Bhatt,Sweta Rajpurohit
- TA Kirtan Shah
Road crash is not just a chance event and it is possible to identify sources of crashes and take preventive
measures. Effective management would include analysing data on a continuous basis, developing strategies and
monitoring effectiveness. The Geographic Information System (GIS), big data and video surveillance data come
in handy in undertaking these tasks. this study focused on accidents blackspots, fatal prone cluster zones in Ahmedabad. There are four important observations of the research. First, ‘two-wheeler users’ along with pedestrians have
emerged as a vulnerable group and ‘cars’ have emerged as the major responsible mode for fatal road crashes.
Second, highways in urban areas are more road crash prone than other city roads. Third, using attributE query and location query , the study identifies ten major accident blackspots clusters and five fatal accident cluster in the city.