Assessment of the influence of technology-based distracted driving on drivers' infractions and their subsequent impact on traffic accidents severity

S García-Herrero, JD Febres, W Boulagouas… - International journal of …, 2021 - mdpi.com
Multitasking while driving negatively affects driving performance and threatens people's
lives every day. Moreover, technology-based distractions are among the top driving …

Highway and road probabilistic safety assessment based on Bayesian network models

Z Grande, E Castillo, E Mora… - Computer‐Aided Civil and …, 2017 - Wiley Online Library
A Bayesian network model is developed, in which all the items or safety related elements
encountered when traveling along a highway or road, such as terrain, infrastructure, light …

The effect of drivers' demographic characteristics on road accidents in different seasons using data mining

S Shokohyar, E Taati, S Zolfaghari - Promet-Traffic&Transportation, 2017 - hrcak.srce.hr
Sažetak According to World Health Organization, each year, over 1.2 million people die on
roads, and between 20 and 50 million suffer non-fatal injuries. Based on international …

Proactive, backward analysis and learning in road probabilistic Bayesian network models

E Castillo, Z Grande, E Mora, X Xu… - Computer‐Aided Civil …, 2017 - Wiley Online Library
Some probabilistic safety assessment models based on Bayesian networks have been
recommended recently for safety analysis of highways and roads. These methods provide a …

Complexity reduction and sensitivity analysis in road probabilistic safety assessment Bayesian network models

E Castillo, Z Grande, E Mora, HK Lo… - Computer‐Aided Civil …, 2017 - Wiley Online Library
This article is concerned with improving some existing methods for probabilistic safety
analysis of roads and highways. After a quick review of a Bayesian network model, in which …

[HTML][HTML] Development of Spatial Clustering Method and Probabilistic Prediction Model for Maritime Accidents

CW Choe, S Lim, DJ Kim, HC Park - Applied Ocean Research, 2025 - Elsevier
Maritime accidents are complex incidents characterized by the absence of physically
defined routes, unlike roads, and influenced by various factors such as marine conditions …

Investigation into Human Factors in Rear-End Crashes of Commercial Trucks Based on Human Factors Analysis and Classification System with Bayesian Networks …

X Du, W Zhao - Transportation Research Record, 2024 - journals.sagepub.com
Rear-end crashes of commercial trucks (ReC-CTs) account for the main type of truck traffic
crashes, and human factors are important influencing factors that cause ReC-CTs. This …

[PDF][PDF] A Multi-year Analysis of Traffic Accidents Involving Agricultural Tractors

P Arnal, A López-Maestresalas, S Arazuri… - Chemical Engineering …, 2017 - core.ac.uk
The agricultural sector in Spain is responsible for a high rate of accidents every year, and
many of them are traffic accidents. Tractors are a relatively rare sight on roads, meaning that …

A Machine Learning Framework for Analyzing the Causes of Traffic Accident-Induced Congestion

P Xu, B Zhang, J Zeng, L Song - CICTP 2024, 2024 - ascelibrary.org
To explore the factors of traffic accident-induced congestion in depth and analyze the
influence degree of each factor precisely, this study proposes a framework for analyzing the …

Analysis of the causes of pedestrian-vehicle traffic accidents based on Bayesian networks

J Yang, Y Lai, H Shi, Y Chen - 2022 - researchsquare.com
With the continuous improvement of people's living standards, the number of cars has also
increased dramatically. While cars are convenient for people to travel, they also lead to …