Data for Accident Severity Prediction Modelling for Indian Highways Case Study
Creators
- 1. Symbiosis Institute of Technology, Symbiosis International University, Pune, India
- 2. School of Civil Engineering, Lovely Professional University Phagwara, India
- 3. Department of Civil Engineering, Deccan Group of Institutions, Hyderabad, India
Description
Accident Data: Road accidents data is of Indian Highways sections Pune-Solapur and Bengal (BAEL) Section. For the Pune-Solapur Section of NH-9, which is located between Km.144/400 and Km. 249/000 in the state of Maharashtra, accident dates from 2013 to 2018. For the Six-Laning of Barwa-Adda-Panagarh Section of NH-2, which includes Panagarh Bypass and is located in the States of Jharkhand and West Bengal Stretch, accident dates from 2015 to 2019 for the stretch between km 398.240 and km 521.120.
The data is sorted and analyzed using Random Forest Machine Learning for Accident Severity Prediction Modelling.
Acknowledgement: We highly acknowledge the two organizations 1. National Highways Authority of India, 2. IL&FS Engineering and Construction Company for making the raw data available.
Source: 1. National Highways Authority of India, 2. IL&FS Engineering and Construction Company.
Files
Accdataset_hk_PS_BAEL_Combined.csv
Files
(332.3 kB)
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