Identification of Traffic Accident Hotspots using Network Kernel Density: Application to Galle District in Sri Lanka
This study aims to identify traffic accident hotspots and establish the correlation between road features and accidents. Network-based Kernel Density Estimators (NKDE) were computed using traffic accident data from 2009 to 2013 for each year for road segments termed lixels. These yearly NKDEs were a...
Saved in:
| Main Authors: | T. M. Rengarasu, H. K. I. Arunodi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sri Lanka Society of Logistics & Transport (SLSTL)
2025-03-01
|
| Series: | Journal of South Asian Logistics and Transport |
| Subjects: | |
| Online Access: | https://jsalt.sljol.info/articles/92/files/67e63b92654c7.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Adaptable Framework for Identifying and Prioritising Road Traffic Accident Hotspots
by: Kaliprasana MUDULI, et al.
Published: (2025-03-01) -
Ways to identify factors contributing to the occurrence of road traffic accidents
by: Kairatolla K. Abishev, et al.
Published: (2024-12-01) -
Exploring Road Traffic Accidents Hotspots Using Clustering Algorithms and GIS-Based Spatial Analysis
by: Hussien Kamh, et al.
Published: (2025-01-01) -
Analysis of traffic accident characteristics and recovery strategy of urban road network
by: Yuzhou Duan, et al.
Published: (2025-06-01) -
Use of Public GIS and Geoportals to Establish Circumstances of a Road Traffic Accident via Video Image. Legal and Methodological Framework
by: G. N. Zubov
Published: (2025-01-01)