Analyzing driver behavior under naturalistic driving conditions: A review
H Singh, A Kathuria - Accident Analysis & Prevention, 2021 - Elsevier
For a decade, researchers working in the area of road safety have started exploring the use
of driving behavior data for a better understanding of the causes related to road accidents. A …
of driving behavior data for a better understanding of the causes related to road accidents. A …
Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios
In this paper, we proposed a new risk assessment based decision-making algorithm to
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …
A correlated random parameters approach to investigate large truck rollover crashes on mountainous interstates
Rollover risk on mountainous interstates is a major concern for transportation agencies due
to the combined mixed effects of adverse weather conditions and complex topography. Such …
to the combined mixed effects of adverse weather conditions and complex topography. Such …
semi-Traj2Graph identifying fine-grained driving style with GPS trajectory data via multi-task learning
Driving behaviour understanding is of vital importance in improving transportation safety and
promoting the development of Intelligent Transportation Systems (ITS). As a long-standing …
promoting the development of Intelligent Transportation Systems (ITS). As a long-standing …
A landscape of research on bus driver behavior: taxonomy, open challenges, motivations, recommendations, limitations, and pathways solution in future
Driver behavior is a concerning issue in the area of intelligent transportation system (ITS).
Driver behavior is a significant key player in a wide range of unpleasant events during the …
Driver behavior is a significant key player in a wide range of unpleasant events during the …
A data-driven feature learning approach based on Copula-Bayesian Network and its application in comparative investigation on risky lane-changing and car-following …
Abstract The era of 'Big Data'provides opportunities for researchers to have deep insights
into traffic safety. By taking advantages of 'Big Data', this study proposes a data-driven …
into traffic safety. By taking advantages of 'Big Data', this study proposes a data-driven …
A behavioral model of drivers' mean speed influenced by weather conditions, road geometry, and driver characteristics using a driving simulator study
Driving above the speed limit is one of the factors that significantly affect safety. Many
studies examined the factors affecting the speed of vehicles in the simulated environment …
studies examined the factors affecting the speed of vehicles in the simulated environment …
Effect of warning message on driver's stop/go decision and red-light-running behaviors under fog condition
The red-light-running (RLR) warning system has substantial potentials in helping drivers
make proper stop/go decisions and reducing the RLR violations. Adverse foggy weather …
make proper stop/go decisions and reducing the RLR violations. Adverse foggy weather …
Reasonable driving speed limits based on recognition time in a dynamic low-visibility environment related to fog—A driving simulator study
K Wang, W Zhang, Z Feng, H Yu, C Wang - Accident Analysis & Prevention, 2021 - Elsevier
To determine a reasonable speed limit and ensure traffic safety in a dynamic low-visibility
environment with fog, a driving simulator study was conducted. A total of 31 young …
environment with fog, a driving simulator study was conducted. A total of 31 young …
Crash report data analysis for creating scenario-wise, spatio-temporal attention guidance to support computer vision-based perception of fatal crash risks
Reducing traffic fatal crashes has been an important mission of transportation. With the rapid
development of sensor and Artificial Intelligence (AI) technologies, the computer vision (CV) …
development of sensor and Artificial Intelligence (AI) technologies, the computer vision (CV) …