Modeling the influence of connected vehicles on driving behaviors and safety outcomes in highway crash scenarios across varied weather conditions: a multigroup …
A Alruwaili, K Xie - Accident Analysis & Prevention, 2024 - Elsevier
Equipped with advanced sensors and capable of relaying safety messages to drivers,
connected vehicles (CVs) hold the potential to reduce crashes. The goal of this study is to …
connected vehicles (CVs) hold the potential to reduce crashes. The goal of this study is to …
Risk Assessment Through Big Data: An Autonomous Fuzzy Decision Support System
Decision support systems (DSSs) are computer-based systems that support managers in
making operational, tactical, and strategic decisions. DSSs have been built to assist with a …
making operational, tactical, and strategic decisions. DSSs have been built to assist with a …
CPBW: A Change-Point-Detection and Bag-of-Words Based Mechanism Utilizing Smartphone Triaxial Accelerometer Data for Driver Identification
YM Chen, P Lin, EH Yeh, SR Yang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Effective driver identification is one of critical aspects of Internet of Vehicles (IoV)
applications, playing a pivotal role in various contexts such as vehicle anti-theft, fleet …
applications, playing a pivotal role in various contexts such as vehicle anti-theft, fleet …
Influence of emotions on the aggressive driving behavior of online car-hailing drivers based on association rule mining
Y Ma, Y Xing, Y Wu, S Chen - Ergonomics, 2024 - Taylor & Francis
Emotion is an important factor that can lead to the occurrence of aggressive driving. This
paper proposes an association rule mining-based method for analysing contributing factors …
paper proposes an association rule mining-based method for analysing contributing factors …
Identification of aggressive driving behavior of online car‐hailing drivers based on association classification
Y Wu, S Chen, Y Ma, W Cheng… - Human Factors and …, 2024 - Wiley Online Library
With the rapid development of online car‐hailing, the related crashes have become a key
issue with public concern. Identifying and predicting aggressive driving behaviors is critical …
issue with public concern. Identifying and predicting aggressive driving behaviors is critical …
An Efficient Deep Learning Model Based on Driver Behaviour Detection Within CAN-BUS Signals.
HM Gheni, LA Abdul-Rahaim - Revue d'Intelligence …, 2024 - search.ebscohost.com
Abstract Intelligent Transportation Systems (ITS) have extensively utilized driver behavior
monitoring systems to mitigate the risk of traffic accidents caused by factors such as …
monitoring systems to mitigate the risk of traffic accidents caused by factors such as …
Modeling the Impact of Connected and Automated Vehicles on Driving Behaviors and Safety: A Driving Simulator Study
A Alruwaili - 2024 - digitalcommons.odu.edu
Connected vehicles (CVs), equipped with advanced sensors, can communicate safety
messages to drivers. Automated vehicles (AVs), designed with the ability to automate safety …
messages to drivers. Automated vehicles (AVs), designed with the ability to automate safety …
Context-Aware Attention Encoder-Decoder Network for Connected Heavy-Duty Vehicle Aggressive Driving Identification Under Naturalistic Driving Conditions
Driving behavior analysis and identification are of great significance for improving traffic
safety and reducing fuel consumption. Existing methods primarily focused on the driving …
safety and reducing fuel consumption. Existing methods primarily focused on the driving …
Understand Driving Behaviors Based on Comprehensive Grading System and Unsupervised Learning
Understanding driving behavior is crucial for enhancing traffic safety. While previous studies
have primarily explored driving behavior using either statistical or machine learning …
have primarily explored driving behavior using either statistical or machine learning …