Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning

A Mohammadnazar, R Arvin, AJ Khattak - Transportation research part C …, 2021 - Elsevier
Driving style can substantially impact mobility, safety, energy consumption, and vehicle
emissions. While a range of methods has been used in the past for driving style …

Severity analysis for large truck rollover crashes using a random parameter ordered logit model

G Azimi, A Rahimi, H Asgari, X Jin - Accident Analysis & Prevention, 2020 - Elsevier
Large truck rollover crashes present significant financial, industrial, and social impacts. This
paper presents an effort to investigate the contributing factors to large truck rollover crashes …

Investigating the injury severity of single-vehicle truck crashes in a developing country

E Rahimi, A Shamshiripour, A Samimi… - Accident Analysis & …, 2020 - Elsevier
Trucking plays a vital role in economic development in every country, especially countries
where it serves as the backbone of the economy. The fast growth of economy in Iran as a …

Adoption and willingness to pay for autonomous vehicles: attitudes and latent classes

A Rahimi, G Azimi, H Asgari, X Jin - Transportation research part D …, 2020 - Elsevier
This paper presents a comprehensive analysis of the propensity toward autonomous
vehicles (AVs). The main hypothesis of this study is that individuals' decisions toward AVs …

The role of pre-crash driving instability in contributing to crash intensity using naturalistic driving data

R Arvin, M Kamrani, AJ Khattak - Accident Analysis & Prevention, 2019 - Elsevier
While the cost of crashes exceeds $1 Trillion a year in the US alone, the availability of high-
resolution naturalistic driving data provides an opportunity for researchers to conduct an in …

Automatic detection of traffic accidents from video using deep learning techniques

S Robles-Serrano, G Sanchez-Torres… - Computers, 2021 - mdpi.com
According to worldwide statistics, traffic accidents are the cause of a high percentage of
violent deaths. The time taken to send the medical response to the accident site is largely …

Delineation of isotopic and hydrochemical evolution of karstic aquifers with different cluster-based (HCA, KM, FCM and GKM) methods

E Eskandari, H Mohammadzadeh, H Nassery… - Journal of …, 2022 - Elsevier
In this work, a combination of isotopic and hydrogeochemical data of a karstic region was
clustered with four distinct clustering analysis (CA) methods to study water evolution in a …

Acceptance of full driving automation: Personally owned and shared-use concepts

S Motamedi, P Wang, T Zhang, CY Chan - Human factors, 2020 - journals.sagepub.com
Objective This study aims to develop user acceptance models for two concepts of full driving
automation: personally owned and shared use. Background Many manufacturers have been …

[HTML][HTML] A data mining approach for traffic accidents, pattern extraction and test scenario generation for autonomous vehicles

E Esenturk, D Turley, A Wallace, S Khastgir… - International journal of …, 2023 - Elsevier
To effectively fight against traffic accidents, it is of great importance to analyse and
understand the conditions that are linked with accidents. Such an analysis can serve as the …

Combined latent class and partial proportional odds model approach to exploring the heterogeneities in truck-involved severities at cross and T-intersections

L Song, W Fan - Accident Analysis & Prevention, 2020 - Elsevier
Although the fatal rate of passenger vehicle-involved crashes has decreased in the United
States, the fatal rate of truck-involved crashes has increased. This has, in recent years …