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 …

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 …

Prevalence of cell phone use while driving and its impact on driving performance, focusing on near-crash risk: A survey study in Tehran

H Nasr Esfahani, R Arvin, Z Song… - Journal of Transportation …, 2021 - Taylor & Francis
This study aims to investigate driver attitudes toward and prevalence of cell phone use while
driving among Iranian drivers. An online survey was conducted in Tehran, Iran, which …

Determining critical combinations of safety fatality causes using spectral clustering and computational data mining algorithms

R Assaad, IH El-Adaway - Journal of Construction Engineering and …, 2021 - ascelibrary.org
Abstract Although the Occupational Safety and Health Administration (OSHA) has played a
key role in decreasing safety accidents on construction sites, such reduction is not well …

Enhancing the analysis of software failures in cloud computing systems with deep learning

D Cotroneo, L De Simone, P Liguori… - Journal of Systems and …, 2021 - Elsevier
Identifying the failure modes of cloud computing systems is a difficult and time-consuming
task, due to the growing complexity of such systems, and the large volume and noisiness of …

Traffic sensor data-based assessment of speed feedback signs

A Karimpour, R Kluger, YJ Wu - Journal of Transportation Safety & …, 2021 - Taylor & Francis
Excessive speed is a significant traffic safety concern on almost all types of roadways. A
practical speed management strategy should improve mobility and vehicle progression by …

Analysis of severe injuries in crashes involving large trucks using K-prototypes clustering-based GBDT model

SAS Tahfim, C Yan - Safety, 2021 - mdpi.com
The unobserved heterogeneity in traffic crash data hides certain relationships between the
contributory factors and injury severity. The literature has been limited in exploring different …

Time Series Clustering for Human Behavior Pattern Mining

R Kabra, D Saxena, D Patel, J Cao - arXiv preprint arXiv:2110.07549, 2021 - arxiv.org
Human behavior modeling deals with learning and understanding behavior patterns
inherent in humans' daily routines. Existing pattern mining techniques either assume human …

[图书][B] Innovative modeling and management of infrastructure systems, engineering and construction operations, and offsite construction technology using …

RH Assaad - 2021 - search.proquest.com
The construction industry has been facing considerable challenges due to the inadequacy of
the traditional methods in executing, managing, and modeling infrastructure and …