Open AccessAccident Analysis and Blackspot Identification at Chandrapur City
Author(s) -
Dipali R. Khamankar,
P. Y. Pawade,
B. V. Khode
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst218264
Subject(s) - transport engineering , geography , accident (philosophy) , statistical analysis , identification (biology) , scope (computer science) , traffic accident , engineering , statistics , computer science , mathematics , philosophy , botany , epistemology , biology , programming language
Increased economic activity raised the consumption levels of the people across the India. This created scope for increase in the travel and transportation demanding a greater number of vehicles. The increase in the vehicles since last ten years has put a lot of pressure on the existing roads and ultimately resulting in increased rate of accidents. Blackspots are occurred at urban areas due to increased rate of vehicles, shorter width of roads and defective geometry of intersections. Blackspots are the locations in the city where the accident rate observed to be high. Therefore, there is need identify such locations of the urban area. For the present research, Chandrapur city in Maharashtra, India was selected. Accident data of last four year (2015- 2018) was obtained from police station. Weighted severity index (WSI) method and statistical analysis is used for identifying the accident blackspots. After field observations and interaction with the public, some improvements are suggested for improving the accident blackspot.