Hazard perception in driving: a systematic literature review

S Cao, S Samuel, Y Murzello, W Ding… - Transportation …, 2022 - journals.sagepub.com
Hazard perception (HP) is the process of detecting and identifying hazards. Drivers' HP
abilities are critical for driving safety. This paper presents a systematic literature review of …

Assessment of virtual reality based safety training simulator for electric overhead crane operations

K Dhalmahapatra, J Maiti, OB Krishna - Safety science, 2021 - Elsevier
In this paper, we have assessed the efficiency and effectiveness of a developed immersive
VR-based safety training simulator that allowed procedural training to electric overhead …

Impact of the connected vehicle environment on tunnel entrance zone

Z Li, G Xing, X Zhao, H Li - Accident Analysis & Prevention, 2021 - Elsevier
The drastic changes of the space environment at the tunnel entrance can lead to frequent
accidents with higher levels. The connected vehicle environment provides drivers with …

Improving hazard perception for drivers based on driving styles with visual alerts

Y Mao, X Wang, W He, G Pan - … research part F: traffic psychology and …, 2023 - Elsevier
This paper aims to investigate the influence of driving styles on dangers by testing drivers'
hazard perception with driving style variability in different scenarios and applying visual …

How do drivers avoid collisions? A driving simulator-based study

X Li, A Rakotonirainy, X Yan - Journal of safety research, 2019 - Elsevier
Introduction: Drivers' collision avoidance performance in an impending collision situation
plays a decisive role for safety outcomes. This study explored drivers' collision avoidance …

Latent hazard notification for highly automated driving: expected safety benefits and driver behavioral adaptation

Q Li, Y Su, W Wang, Z Wang, J He, G Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Although latent hazard notification for highly automated driving is expected to enhance traffic
safety, its practical effects have yet to be verified. This study systemically investigated the …

Constructing the behavioral sequence of the takeover process—TOR, behavior characteristics and phases division: A real vehicle experiment

Z Yu, G Xu, K Jiang, Z Feng, S Xu - Accident Analysis & Prevention, 2023 - Elsevier
Autonomous driving will still use human–machine co-driving to handle complex situations
for a long term, which requires the driver to control the vehicle and avoid hazards by …

Effect of visual and auditory alerts on older drivers' glances toward latent hazards while turning left at intersections

S Bakhtiari, T Zhang, T Zafian… - Transportation …, 2019 - journals.sagepub.com
Older drivers are known to make significantly fewer glances toward hazards that are hidden
from view (latent hazards) than middle-aged drivers. This is especially true when the driver …

Detection of driver cognitive distraction using machine learning methods

A Misra, S Samuel, S Cao, K Shariatmadari - IEEE Access, 2023 - ieeexplore.ieee.org
Driver distraction is one of the primary causes of crashes. As a result, there is a great need to
continuously observe driver state and provide appropriate interventions to distracted drivers …

[HTML][HTML] Intelligent driving assistant based on road accident risk map analysis and vehicle telemetry

J Terán, L Navarro, CG Quintero M, M Pardo - Sensors, 2020 - mdpi.com
Through the application of intelligent systems in driver assistance systems, the experience of
traveling by road has become much more comfortable and safe. In this sense, this paper …