Predicting time-varying, speed-varying dilemma zones using machine learning and continuous vehicle tracking

M Rahman, MW Kang, P Biswas - Transportation research part C: emerging …, 2021 - Elsevier
This paper proposes an innovative framework of predicting driver behavior under varying
dilemma zone conditions using artificial intelligence-based machine learning. The …

Bus fleet accident prediction based on violation data: Considering the binding nature of safety violations and service violations

T Ding, L Zhang, J **, Y Li, L Zheng, K Zhang - Sustainability, 2023 - mdpi.com
The number and severity of bus traffic accidents are increasing annually. Therefore, this
paper uses the historical data of Chongqing Liangjiang Public Transportation Co., Ltd. bus …

Red light crossing violations modelling using deep learning and variance-based sensitivity analysis

M Owais, MA El Sayed - Expert Systems with Applications, 2025 - Elsevier
Red light crossing violations (RLCV) pose a significant hazard due to various factors
influencing driver behavior and traffic signal operations. This study explores the efficacy of …

[HTML][HTML] Prediction of Drivers' Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks

MMR Komol, M Elhenawy, J Pinnow… - Machine Learning and …, 2024 - mdpi.com
Red-light running at signalised intersections poses a significant safety risk, necessitating
advanced predictive technologies to predict red-light violation behaviour, especially for …

Analysis of intersection site-specific characteristics for Type II dilemma zone determination

M Rahman, MW Kang - Journal of transportation engineering, Part A …, 2021 - ascelibrary.org
Dilemma zone could be an effective surrogate safety measure of a signalized intersection
because its length and location are significantly correlated with right-angle and rear-end …

A review on drivers' red light running behavior predictions and technology based countermeasures

MMR Komol, J Pinnow, M Elhenawy, S Yasmin… - IEEE …, 2022 - ieeexplore.ieee.org
Red light running at signalised intersections is a growing road safety issue worldwide,
leading to the rapid development of advanced intelligent transportation technologies and …

Dynamic Dilemma Zone Protection System: A Smart Machine Learning Based Approach to Countermeasure Driver's Yellow Light Dilemma

M Rahman - 2022 - search.proquest.com
Drivers' indecisions within the dilemma zone (DZ) during the yellow interval is a major safety
concern of a roadway network. The present study develops a systematic framework of a …

C-ITS based prediction of driver red light running and turning behaviours

MMR Komol - 2022 - eprints.qut.edu.au
Red light running is a major traffic violation. Drivers often aggressively or unintentionally
violate red signal and cause traffic collisions. Moreover, Vision impairment of turning …

[PDF][PDF] Red Light Crossing Violations Modelling using Deep Learning and Variance-Based Sensitivity Analysis

MA El Sayed - researchgate.net
Red light crossing violations (RLCV) pose a significant hazard due to various factors
influencing driver behavior and traffic signal operations. This study explores the efficacy of …

A Comparative Study of Hybridized Neural Networks in Estimating Traffic Accident Severity

MMI Anik, W Akram, M Ashikuzzaman - 2019 - 103.133.167.11
The increasing number of populations causing increase of vehicles which leads to traffic
accident. As transportation system expands, it needs to be monitored to assure safety to …