Open Access
| Issue |
EPJ Web Conf.
Volume 379, 2026
2nd International Conference on Sustainable Materials, Methodologies, Technologies & Applications in Engineering (ICS2MT-2026)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 9 | |
| Section | Transportation Engineering, Smart Mobility and Sustainable Infrastructure | |
| DOI | https://doi.org/10.1051/epjconf/202637904001 | |
| Published online | 03 August 2026 | |
- L. A. Ahmed, Using Logistic Regression in Determining the Effective Variables in Traffic Accidents. Applied Mathematical Sciences. 11(42), 2047–2058 (2017). [Google Scholar]
- A. S. Al-Ghamdi, Using Logistic Regression to Estimate the Influence of Accident Factors on Accident Severity. Accident Analysis and Prevention. 34, 729–74 (2002). [Google Scholar]
- T. K. Anderson, Kernel Density Estimation and K-Means Clustering to Profile Road Accident Hotspots. Accident Analysis & Prevention. 41(3), 359–364 (2009). [Google Scholar]
- R. Goel, P. Jain, G. Tiwari, Correlates of Fatality Risk of Vulnerable Road Users in Delhi. Accident Analysis and Prevention. 111, 86–93 (2018). [Google Scholar]
- Ministry of Road Transport & Highways, Road Accidents in India 2022. Transport Research Wing, New Delhi (2023). [Google Scholar]
- S.H. Mir, D. Kumar, Traffic Congestion in Tier-I and Tier-II Cities by Executing Intelligent Traffic System. International Journal of Progressive Research in Science and Engineering. 1(3), 12–17 (2020). [Google Scholar]
- D. Mohan, G. Tiwari, S. Mukherjee, Urban Traffic Safety Assessment: A Case Study of Six Indian Cities. IATSS Research. 39(2), 95–101 (2016). [Google Scholar]
- D. Mukherjee, S. Mitra, Impact of Road Infrastructure Land Use and Traffic Operational Characteristics on Pedestrian Fatality Risk: A Case Study of Kolkata, India. Transportation in Developing Economies. 5:6 (2019). [Google Scholar]
- D. Mukherjee, S. Mitra, Development of a Systematic Methodology to Enhance the Safety of Vulnerable Road Users in Developing Countries. Transportation in Developing Economies. 8:28, 1–17 (2022). [Google Scholar]
- H.M. Naqvi, G. Tiwari, Factors Contributing to Motorcycle Fatal Crashes on National Highways in India. Transportation Research Procedia. 25, 2084–2097(2017). [Google Scholar]
- V. Prasannakumar, H. Vijith, R. Charutha, N. Geetha, Spatio-Temporal Clustering of Road Accidents: GIS-Based Analysis and Assessment. International Journal of Geographical Information Science. 25(8), 1243–1266 (2011). [Google Scholar]
- S. Rankavat, G. Tiwari, Pedestrians’ Risk Perception of Traffic Crash and Built Environment Features – Delhi, India. Safety Science. 87, 1–7 (2016). [Google Scholar]
- A. Santhosh, E. Sam, B. K. Bindhu, Pedestrian Accident Prediction Modelling—A Case Study in Thiruvananthapuram City. Transportation Research. edited by T. V. Mathew, G. J. Joshi, N. R. Velaga, S. Arkatkar, 637–645 (2020). [Google Scholar]
- S. Sarkar, R. Tay, J. D. Hunt, Logistic Regression Model of Risk of Fatality in Vehicle–Pedestrian Crashes on National Highways in Bangladesh. Transportation Research Record. 2264, 128–137 (2011). [Google Scholar]
- World Health Organisation, Global Status Report on Road Safety 2023. Geneva: WHO (2023). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.