A Review on Drivers Red Light Running and Turning Behaviour Prediction
Komol, Md Mostafizur Rahman, Elhenawy, Mohammed, Yasmin, Shamsunnahar, Masoud, Mahmoud, Rakotonirainy, Andry
–arXiv.org Artificial Intelligence
Every year, around 1.3 million people all over the world are killed by road mishaps with approximately 20 to 50 million life-threatening injuries(International Transport Forum, 2018; World Health Organisation, 2018). Notwithstanding, there is a disparity in road traffic death from 9.3 to 26.6 per 100,000 population among countries based on their income level, while the global rate is still 18.2 per 100,000 population (World Health Organisation, 2018). Moreover, traffic collision at intersections is a significant threat to upholding road safety. As a whole, 45% of severe injuries occur at intersections, including 22% of fatal crashes (Li, Jia, et al., 2016). Drivers often inadvertently fail to break immediately at the onset of red light or deliberately run through the red light signal and also miscalculate the motif of the right angle vehicle [in a right-hand driving condition] while crossing the intersection (Zhang et al., 2018). Especially at the onset of yellow signal, drivers get confused with decision measurement either to stop or to run and to get involved in rear-end collision or right-angle collision or uncomfortable hard brake, often resulting in injuries or death (Gazis et al., 1960; Majhi & Senathipathi, 2019).
arXiv.org Artificial Intelligence
Aug-15-2020
- Country:
- Asia
- China
- Beijing > Beijing (0.04)
- Hunan Province > Changsha (0.04)
- India (0.04)
- Middle East > Republic of Türkiye
- İzmir Province > İzmir (0.04)
- Singapore (0.04)
- South Korea (0.04)
- Thailand > Bangkok
- Bangkok (0.04)
- China
- Europe
- Portugal (0.04)
- United Kingdom (0.28)
- Sweden (0.04)
- Belgium (0.04)
- Romania (0.04)
- Greece (0.04)
- Italy (0.04)
- France (0.04)
- Netherlands > Utrecht (0.04)
- Denmark (0.04)
- Germany > Bavaria
- Upper Bavaria > Munich (0.04)
- North America
- Canada (0.04)
- United States
- District of Columbia > Washington (0.14)
- Iowa (0.04)
- Nebraska (0.04)
- North Carolina (0.04)
- Texas > Dallas County
- Dallas (0.04)
- Virginia (0.04)
- Oceania > Australia
- New South Wales (0.04)
- Queensland > Brisbane (0.04)
- South Australia (0.04)
- Western Australia (0.04)
- Asia
- Genre:
- Research Report
- Experimental Study (0.69)
- New Finding (1.00)
- Research Report
- Industry:
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning
- Learning Graphical Models (0.68)
- Neural Networks > Deep Learning (0.46)
- Statistical Learning > Regression (0.46)
- Representation & Reasoning > Uncertainty (0.93)
- Robots > Autonomous Vehicles (1.00)
- Machine Learning
- Communications (0.67)
- Sensing and Signal Processing (1.00)
- Artificial Intelligence
- Information Technology