Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation

M Bíl, R Andrášik, Z Janoška - Accident Analysis & Prevention, 2013 - Elsevier
This paper proposes a procedure which evaluates clusters of traffic accident and organizes
them according to their significance. The standard kernel density estimation was extended …

[HTML][HTML] Real-time crash risk forecasting using Artificial-Intelligence based video analytics: A unified framework of generalised extreme value theory and …

F Hussain, Y Ali, Y Li, MM Haque - Analytic methods in accident research, 2023 - Elsevier
With the recent advancements in computer vision and artificial intelligence, traffic conflicts
occurring at an intersection and associated traffic characteristics can be obtained at the …

Spatio-temporal patterns and consequences of road kills: A review

AGHE Oddone Aquino, SL Nkomo - Animals, 2021 - mdpi.com
Simple Summary Road kill continues to be a challenge in the 21st century. Numerous
studies have sought to explain the causes and risks of animal-vehicle collisions that result in …

The KDE+ software: a tool for effective identification and ranking of animal-vehicle collision hotspots along networks

M Bíl, R Andrášik, T Svoboda, J Sedoník - Landscape ecology, 2016 - Springer
Context Objective identification of locations on transportation networks, where animal-
vehicle collisions (AVC) occur more frequently than expected (hotspots), is an important step …

Sustainable landscape planning to mitigate wildlife–vehicle collisions

A Fedorca, M Fedorca, O Ionescu, R Jurj, G Ionescu… - Land, 2021 - mdpi.com
Road development, traffic intensification, and collisions with wildlife represent a danger both
for road safety and species conservation. For planners, deciding which mitigation methods …

Identification of local factors causing clustering of animal‐vehicle collisions

T Bartonička, R Andrášik, M Duľa… - The Journal of …, 2018 - Wiley Online Library
Effective measures reducing risk of animal‐vehicle collisions (AVC) require defining high‐
risk locations on roads where AVCs occur. Previous studies examined factors explaining …

On reliable identification of factors influencing wildlife-vehicle collisions along roads

M Bíl, R Andrášik, M Duľa, J Sedoník - Journal of environmental …, 2019 - Elsevier
Wildlife-vehicle collisions (WVCs) pose a serious global issue. Factors influencing the
occurrence of WVC along roads can be divided in general into two groups: spatially random …

Safety analytics for integrating crash frequency and real-time risk modeling for expressways

L Wang, M Abdel-Aty, J Lee - Accident Analysis & Prevention, 2017 - Elsevier
To find crash contributing factors, there have been numerous crash frequency and real-time
safety studies, but such studies have been conducted independently. Until this point, no …

Extending the Highway Safety Manual (HSM) framework for traffic safety performance evaluation

NS Venkataraman, GF Ulfarsson, VN Shankar - Safety science, 2014 - Elsevier
Traffic safety performance evaluation, especially in agencies charged with safety
investments, has primarily followed the methods outlined in the Highway Safety Manual …

Evaluating the performance of network screening methods for detecting high collision concentration locations on highways

OH Kwon, MJ Park, H Yeo, K Chung - Accident Analysis & Prevention, 2013 - Elsevier
This paper documents findings from evaluating performances of three different methods for
segmenting freeway sites for the purpose of identifying high collision concentration …