[HTML][HTML] Review of traffic safety evaluation at T-intersections using surrogate safety measures in developing countries context

SR Bonela, BR Kadali - IATSS research, 2022 - Elsevier
In recent years, significant research has focused on traffic safety evaluations at unsignalized
intersections due to complex and heterogeneous traffic movements as well as driver …

Macro-level literature analysis on pedestrian safety: Bibliometric overview, conceptual frames, and trends

A Mirhashemi, S Amirifar, AT Kashani, X Zou - Accident Analysis & …, 2022 - Elsevier
Due to the high volume of documents in the pedestrian safety field, the current study
conducts a systematic bibliometric analysis on the researches published before October 3 …

Utilizing UAV video data for in-depth analysis of drivers' crash risk at interchange merging areas

X Gu, M Abdel-Aty, Q Xiang, Q Cai, J Yuan - Accident Analysis & Prevention, 2019 - Elsevier
The interchange merging area suffers a high crash risk in the freeway system, which is
greatly related to the intense mandatory merging maneuvers. Ignoring such correlation may …

[HTML][HTML] Older pedestrian traffic crashes severity analysis based on an emerging machine learning XGBoost

M Guo, Z Yuan, B Janson, Y Peng, Y Yang, W Wang - Sustainability, 2021 - mdpi.com
Older pedestrians are vulnerable on the streets and at significant risk of injury or death when
involved in crashes. Pedestrians' safety is critical for roadway agencies to consider and …

An integrated methodology for real-time driving risk status prediction using naturalistic driving data

Q Shangguan, T Fu, J Wang, T Luo - Accident Analysis & Prevention, 2021 - Elsevier
Real-time driving risk status prediction is critical for developing proactive traffic intervention
strategies and enhance driving safety. However, the optimal observation time window length …

Effects of crash warning systems on rear-end crash avoidance behavior under fog conditions

Y Wu, M Abdel-Aty, J Park, J Zhu - Transportation research part C …, 2018 - Elsevier
Reduced visibility conditions increase both the probability of rear-end crash occurrences
and their severity. Crash warning systems that employ data from connected vehicles have …

Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and …

D Yang, K Xie, K Ozbay, H Yang - Accident Analysis & Prevention, 2021 - Elsevier
Most existing efforts to assess safety performance require sufficient crash data, which
generally takes a few years to collect and suffers from certain limitations (such as long data …

Investigating secondary pedestrian-vehicle interactions at non-signalized intersections using vision-based trajectory data

T Fu, W Hu, L Miranda-Moreno, N Saunier - Transportation research part C …, 2019 - Elsevier
Vision-based trajectory data provides great details for investigating microscopic behavior
and road safety at the level of interactions. Most studies investigating pedestrian-vehicle …

Developing a grouped random parameters multivariate spatial model to explore zonal effects for segment and intersection crash modeling

Q Cai, M Abdel-Aty, J Lee, L Wang, X Wang - Analytic methods in accident …, 2018 - Elsevier
It is acknowledged that crash occurrence on segments and intersections could be affected
by multilevel factors. Omission of important explanatory variables could result in biased and …

Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network

S Zhang, M Abdel-Aty, Q Cai, P Li, J Ugan - Accident Analysis & Prevention, 2020 - Elsevier
Pedestrian protection is an important component of road safety. Intersections are dangerous
locations for pedestrians with mixed traffic. This paper aims to predict potential traffic …