Exploring the effects of traffic light countdown displays on the driving behaviours of drivers with different personality dispositions: A VR-simulated study

M Yan, M Zhuang, APK Kwok - … research part F: traffic psychology and …, 2024 - Elsevier
The dilemma zone, where drivers must decide whether to stop or proceed through an
intersection as a traffic signal turns yellow, poses a substantial risk for traffic accidents. One …

A decision-making model for professional drivers selection: A hybridized fuzzy–AROMAN–Fuller approach

M Čubranić-Dobrodolac, S Jovčić, S Bošković, D Babić - Mathematics, 2023 - mdpi.com
Professional drivers play a crucial role in many businesses and the lives of people. They are
responsible for transferring people and goods between distant points, enabling safe and …

Feature recognition of urban road traffic accidents based on GA-XGBoost in the context of big data

Y Qu, Z Lin, H Li, X Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
The identification of the characteristics of urban road traffic accidents is of great significance
for reducing traffic accidents and the corresponding losses. In the context of big data, to …

Linking human and machine behavior: A new approach to evaluate training data quality for beneficial machine learning

T Hagendorff - Minds and Machines, 2021 - Springer
Abstract Machine behavior that is based on learning algorithms can be significantly
influenced by the exposure to data of different qualities. Up to now, those qualities are solely …

A psychometric analysis of the Brief Self-Control Scale

PD Manapat, MC Edwards, DP MacKinnon… - …, 2021 - journals.sagepub.com
The Brief Self-Control Scale (BSCS) is a widely used measure of self-control, a construct
associated with beneficial psychological outcomes. Several studies have investigated the …

Modelling driver propensity for traffic accidents: a comparison of multiple regression analysis and fuzzy approach

M Čubranić-Dobrodolac, L Švadlenka… - … journal of injury …, 2020 - Taylor & Francis
This research proposes an assessment and decision support model to use when a driver
should be examined about their propensity for traffic accidents, based on an estimation of …

Task and resting-state functional connectivity predict driving violations

U Ju - Brain sciences, 2023 - mdpi.com
Aberrant driving behaviors cause accidents; however, there is a lack of understanding of the
neural mechanisms underlying these behaviors. To address this issue, a task and resting …

A comprehensive review of motorcyclists' riding behaviour and safety

A Chakraborty, S Mitra, B Maitra - … of the Fifth International Conference of …, 2022 - Springer
The number of motorized two-wheelers (MTWs) is rapidly increasing all over the world. In
addition, accidents and fatalities of MTWs are over-represented when compared to other …

TRAFİK KAZALARINI ETKİLEYEN FAKTÖRLERİN YAPISAL EŞİTLİK MODELİ İLE İNCELENMESİ

H Eygü - Elektronik Sosyal Bilimler Dergisi, 2018 - dergipark.org.tr
Trafik kazaları ölümlü, yaralanmalı ve maddi hasarlı olarak geçmişten günümüze kadar
önemli problemlerden biridir. Trafik kazaları genellikle sürücü ve araç, hava şartları, yol ve …

Statistical evaluation of BIS-11 and DAQ tools in the field of traffic psychology

K Čulík, A Kalašová - Mathematics, 2021 - mdpi.com
This paper focuses on the statistical evaluation of two independent research tools in the field
of traffic psychology. Our research focuses on young drivers in the Slovak Republic and …