Analysis of commercial truck drivers' potentially dangerous driving behaviors based on 11-month digital tachograph data and multilevel modeling approach

T Zhou, J Zhang - Accident Analysis & Prevention, 2019 - Elsevier
This study analyzed the potentially dangerous driving behaviors of commercial truck drivers
from both macro and micro perspectives. The analysis was based on digital tachograph data …

How to evaluate and plan the freight-passengers first-last mile

S Nocera, G Pungillo, F Bruzzone - Transport policy, 2021 - Elsevier
Abstract “First-last mile”(FLM) is an informal composed-word, widely used to indicate the first
and the last leg of each transport movement. In this paper, it is defined as a complex system …

Feature selection for driving style and skill clustering using naturalistic driving data and driving behavior questionnaire

Y Chen, K Wang, JJ Lu - Accident Analysis & Prevention, 2023 - Elsevier
Driver's driving style and driving skill have an essential influence on traffic safety, capacity,
and efficiency. Through clustering algorithms, extensive studies explore the risk assessment …

How to define the accident risk level of car drivers by combining objective and subjective measures of driving style

L Eboli, G Mazzulla, G Pungillo - … research part F: traffic psychology and …, 2017 - Elsevier
Perceived risk can be defined as the expectation of being involved in a traffic accident.
Traffic risk perception is often subjectively evaluated being risk perception as highly …

Towards sustainable road safety in Saudi Arabia: Exploring traffic accident causes associated with driving behavior using a Bayesian belief network

MM Rahman, MK Islam, A Al-Shayeb, M Arifuzzaman - Sustainability, 2022 - mdpi.com
Understanding the causes and effects of road accidents is critical for developing road and
action plans in a country. The causation hypothesis elucidates how accidents occur and may …

A graphical modeling method for individual driving behavior and its application in driving safety analysis using GPS data

C Chen, X Zhao, Y Zhang, J Rong, X Liu - Transportation research part F …, 2019 - Elsevier
Due to differences in driving skills and personal characteristics among drivers, the behaviors
of drivers when faced with various driving environments differ, causing different levels of …

[HTML][HTML] Investigating distance halo effect of fixed automated speed camera based on taxi GPS trajectory data

C Fu, H Liu - Journal of traffic and transportation engineering …, 2023 - Elsevier
Background The deterrence effect of automated speed camera (ASC) is still inconclusive.
Moreover, it is pointed out that ASC may have varying deterrence effects on different types of …

A driving behavior risk classification framework via the unbalanced time series samples

H Zhu, R Xiao, J Zhang, J Liu, C Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driving risk classification is usually used for evaluating and reducing traffic accidents. It is of
great significance to improve urban traffic problems, such as traffic jams and road accidents …

[PDF][PDF] Truck driver behavior and travel time effectiveness using smart GPS

D Yuniar, L Djakfar, A Wicaksono, A Efendi - Civil Engineering Journal, 2020 - core.ac.uk
The pattern of coal transportation is very dependent on the behaviour of the driver, which
influences the effectiveness of travel time. Good driver behaviour will affect the optimization …

Cross-cultural perspective of driving style in young adults: Psychometric evaluation through the analysis of the Multidimensional Driving Style Inventory

F Freuli, G De Cet, M Gastaldi, F Orsini… - … research part F: traffic …, 2020 - Elsevier
Self-evaluating methods are frequently used to identify driving styles. Among others, one of
the most commonly used questionnaires is the Multidimensional Driving Style Inventory …