Speed violation analysis of heavy vehicles on highways using spatial analysis and machine learning algorithms

E Kuşkapan, MY Çodur, A Atalay - Accident Analysis & Prevention, 2021 - Elsevier
With the development of technology in the world, vehicles that reach high speeds are
produced. In addition, with the increase of road width and quality, faster and more …

Forecasting accident frequency of an urban road network: A comparison of four artificial neural network techniques

H Behbahani, AM Amiri, R Imaninasab… - Journal of …, 2018 - Wiley Online Library
Considerable effort has been made to determine which of the most common prediction
modeling techniques performs best, based on crash‐related data. Accordingly, the present …

Investigating factors affecting rural crash frequency at marginal areas around cities in Iran: a random parameter modeling approach

H Shamanian Esfahani, S Afandizadeh… - Transportation …, 2024 - Taylor & Francis
ABSTRACT A significant portion of rural crashes in Iran occur in the marginal areas around
cities. Exclusive crash frequency models should be developed to identify the factors affecting …

Analysis of crash frequency model: Study case of Indonesia toll roads

DH Syaifullah, G Juliant, BM Iqbal… - AIP Conference …, 2020 - pubs.aip.org
This paper analyzed several road factors that affect crash occurrence that happen in
Indonesia Toll roads. The factors analyzed are Annual Average Daily Traffic (AADT), road …

[PDF][PDF] Determination of Automobile Speed Violation Intensity Areas in Turkey

E Kuşkapan, MY Çodur - Engineering and Mathematics, 2021 - ibupress.com
With the development of the transportation sector in the world, high-speed cars are
developing. In addition, the development of highways also enables faster and more …