Showing results (1-10 of 54) with videos related to
Sort By:
Pageof 6
Accident; Analysis and Prevention|May 8, 2025
Opposing-through crash risk forecasting using artificial intelligence-based video analytics for real-time application: integrating generalized extreme value theory and time series forecasting modelsMd Mohasin Howlader, Md Mazharul HaqueAccident; Analysis and Prevention|October 21, 2023
Before-after safety evaluation of part-time protected right-turn signals: An extreme value theory approach by applying artificial intelligence-based video analyticsMd Mohasin Howlader, Yasir Ali, Andrew Burbridge, et al.Accident; Analysis and Prevention|November 10, 2022
A before-after evaluation of protected right-turn signal phasings by applying Empirical Bayes and Full Bayes approaches with heterogenous count data modelsMd Mohasin Howlader, Shamsunnahar Yasmin, Ashish Bhaskar, et al.Accident; Analysis and Prevention|October 17, 2013
A parametric duration model of the reaction times of drivers distracted by mobile phone conversationsMd Mazharul Haque, Simon WashingtonAccident; Analysis and Prevention|March 8, 2023
Modelling braking behaviour of distracted young drivers in car-following interactions: A grouped random parameters duration model with heterogeneity-in-meansYasir Ali, Md Mazharul HaqueAccident; Analysis and Prevention|December 20, 2024
Influence of road safety policies on the long-term trends in fatal Crashes: A Gaussian Copula-based time series count model with an autoregressive moving average processYanqi Lian, Shamsunnahar Yasmin, Md Mazharul HaqueAccident; Analysis and Prevention|November 17, 2023
Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic reviewYasir Ali, Fizza Hussain, Md Mazharul HaqueAccident; Analysis and Prevention|December 6, 2023
A Bayesian extreme value theory modelling framework to assess corridor-wide pedestrian safety using autonomous vehicle sensor dataSunny Singh, Yasir Ali, Md Mazharul HaqueAccident; Analysis and Prevention|March 11, 2026
A deep reinforcement learning algorithm for optimizing safety and efficiency of traffic signals using traffic conflict technique and artificial intelligence-based video analyticsHassan Bin Tahir, Shimul Md Mazharul HaqueAccident; Analysis and Prevention|February 28, 2009
Modeling fault among motorcyclists involved in crashesMd Mazharul Haque, Hoong Chor Chin, Helai HuangPageof 6