Statistical evaluation of data requirement for ramp metering performance assessment

X Ma, A Karimpour, YJ Wu - Transportation Research Part A: Policy and …, 2020 - Elsevier
Ramp metering is known to be an effective freeway control measure that ensures the overall
efficiency and safety of a highway system by regulating the inflow traffic on-ramps …

Combined connected vehicles and variable speed limit strategies to reduce rear-end crash risk under fog conditions

Y Wu, M Abdel-Aty, L Wang… - Journal of Intelligent …, 2020 - Taylor & Francis
Fog is a weather condition that reduces visibility of the driving scene, while slow traffic may
be formed due to the bottleneck on freeways. This phenomenon may lead to higher rear-end …

Understanding the highway safety benefits of different approaches of connected vehicles in reduced visibility conditions

MS Rahman, M Abdel-Aty, L Wang… - Transportation research …, 2018 - journals.sagepub.com
This study evaluated the effectiveness of connected vehicle (CV) technologies in adverse
visibility conditions using microscopic traffic simulation. Traffic flow characteristics …

Multivariate approach to peak-period models for crash types and severities in variable speed systems on freeways

T Hasan, M Abdel-Aty… - Transportation research …, 2024 - journals.sagepub.com
According to current research, safety performance functions (SPFs) based on traditional
annual average daily traffic are less suitable for addressing crash risk in traffic-management …

Investigating the impact of fog on freeway speed selection using the SHRP2 naturalistic driving study data

MN Khan, A Ghasemzadeh… - Transportation research …, 2018 - journals.sagepub.com
The negative effect of reduced visibility on driver performance has been recognized as one
of the main causes of motor vehicle crashes in fog. Although many studies have …

Multilevel weather detection based on images: A machine learning approach with histogram of oriented gradient and local binary pattern-based features

MN Khan, A Das, MM Ahmed… - Journal of Intelligent …, 2021 - Taylor & Francis
The primary objective of this study was to develop a trajectory-level weather detection
system capable of providing real-time weather information at the road surface level using …

Driver performance and behavior in adverse weather conditions: An investigation using the SHRP2 naturalistic driving study data—Phase 2

M Ahmed, A Ghasemzadeh, BE Hammit, N Khan… - 2018 - rosap.ntl.bts.gov
Ahmed (orcid. org/0000-0002-1921-0724); Ghasemzadeh (orcid. org/0000-0003-1232-
251X); Hammit (orcid. org/0000-0002-8859-9075); Khan (orcid. org/0000-0001-5996-091X); …

Non-parametric association rules mining and parametric ordinal logistic regression for an in-depth investigation of driver speed selection behavior in adverse weather …

M Nasim Khan, A Das… - Transportation research …, 2020 - journals.sagepub.com
Human error is considered to be one of the major causes of crashes, especially in inclement
weather. Although many studies have investigated the effect of adverse weather on traffic …

Safety effects of work zone advisory systems under the intelligent connected vehicle environment: A microsimulation approach

S Mao, G Xiao, J Lee, L Wang, Z Wang… - Journal of intelligent …, 2021 - ieeexplore.ieee.org
Purpose-This study aims to investigate the safety effects of work zone advisory systems. The
traditional system includes a dynamic message sign (DMS), whereas the advanced system …

Evaluating the impacts of vehicle-mounted Variable Message Signs on passing vehicles: implications for protecting roadside incident and service personnel

J Liu, X Fu, A Hainen, C Yang… - Journal of Intelligent …, 2023 - Taylor & Francis
This study aims to evaluate the Variable Message Signs (VMS) mounted over the cab of
emergency vehicles as a safety countermeasure to protect roadside incident and service …