Safe driving distance and speed for collision avoidance in connected vehicles

SA Elsagheer Mohamed, KA Alshalfan, MA Al-Hagery… - Sensors, 2022 - mdpi.com
Vehicle tailgating or simply tailgating is a hazardous driving habit. Tailgating occurs when a
vehicle moves very close behind another one while not leaving adequate separation …

Reliability-based analysis of highway geometric elements: A systematic review

A Afolayan, O Abiola Samson, S Easa… - Cogent …, 2022 - Taylor & Francis
Conventional highway design approaches have primarily focused on the use of guidelines
in the design of highways. These design guidelines provide nominal safety where …

Structural equations modeling of real-time crash risk variation in car-following incorporating visual perceptual, vehicular, and roadway factors

N Ding, N Jiao, S Zhu, B Liu - Accident Analysis & Prevention, 2019 - Elsevier
In this study, we attempted to explain drivers' crash risk variation in car-following for crash
avoidance considering the effects of drivers' visual perception, vehicle type, and horizontal …

[HTML][HTML] Inter-and intra-driver reaction time heterogeneity in car-following situations

MH Tawfeek - Sustainability, 2024 - mdpi.com
This study aims to examine the differences in drivers' reaction time (RTs) while driving on
horizontal curves and straight roadway segments, among different driver classes, and in …

Effects of LiDAR point density on extraction of traffic signs: A sensitivity study

S Gargoum, K El-Basyouny - Transportation research record, 2019 - journals.sagepub.com
Datasets collected using light detection and ranging (LiDAR) technology often consist of
dense point clouds. However, the density of the point cloud could vary depending on several …

Sight Distance of Automated Vehicles Considering Highway Vertical Alignments and Its Implications for Speed Limits

S Wang, Y Ma, SM Easa, H Zhou… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Most existing road infrastructures were constructed before the emergence of automated
vehicles (AVs) without considering their operational needs. Whether and how AVs could …

A convolutional neural network method to improve efficiency and visualization in modeling driver's visual field on roads using MLS data

Y Ma, Y Zheng, J Cheng, Y Zhang, W Han - Transportation Research Part …, 2019 - Elsevier
This paper aims to introduce the convolutional neural network (CNN) into modeling driver's
visual field (VF) using mobile laser scanning (MLS) data. A new solution that incorporates …

Analyzing the ability of crash-prone highways to handle stochastically modelled driver demand for stop** sight distance

SA Gargoum, K El-Basyouny - Accident Analysis & Prevention, 2020 - Elsevier
Abstract Stop** Sight Distance (SSD) is the distance defined in most highway design
guides as the distance required by drivers to safely come to a complete stop in case of an …

A virtual procedure for real-time monitoring of intervisibility between conflicting agents at intersections using point cloud and trajectory data

Y Ma, Y Zheng, YD Wong, S Easa, J Cheng - Transportation Research Part …, 2022 - Elsevier
A new procedure is developed for effectively monitoring intervisibility between conflicting
agents in real-time at intersections. Dense light detection and ranging (Lidar) point clouds …

[HTML][HTML] Evaluating the impact of sight distance and geometric alignment on driver performance in freeway exits diverging area based on simulated driving data

X Zhou, B Pan, Y Shao - Sustainability, 2021 - mdpi.com
The decision sight distance (DSD) at freeway exits is a major factor affecting traffic safety.
Based on the Hechizhai Interchange in **'an City (Shaanxi Province, China), this paper …