A rear-end collision risk assessment model based on drivers’ collision avoidance process under influences of cell phone use and gender—A driving simulator based study

Assessment of IVHS Countermeasures for Collision Avoidance: Rear-End Crashes

Collision Avoidance Training Using a Driving Simulator in Drivers with Parkinson's Disease: a Pilot Study.

Parkinson's disease (PD) impairs driving performance, and simulator studies have shown increased crashes compared to controls. In this pilot study, eight drivers with PD participated in three drive sessions with multiple simulator intersections of varying visibility and traffic load, where an incurring vehicle posed a crash risk. Over the course of the three sessions (once every 1-2 weeks), we ...

A fuzzy aid rear-end collision warning/avoidance system

0957-4174/$ see front matter 2012 Elsevier Ltd. A doi:10.1016/j.eswa.2012.02.054 ⇑ Corresponding author. E-mail address: [email protected] (V. Milané To decrease traffic accidents is a declared target of Intelligent Transportation Systems (ITS). Among them, rear-end collisions are one of the most common and constitute one of the as yet unsolved topics in the automotive sector. This paper ...

Human Performance Models and Rear-End Collision Avoidance Algorithms

Collision warning systems offer a promising approach to mitigate rear-end collisions, but substantial uncertainty exists regarding the joint performance of the driver and the collision warning algorithms. A simple deterministic model of driver performance was used to examine kinematics-based and perceptual-based rear-end collision avoidance algorithms over a range of collision situations, algor...

A VANET-based Real-time Rear-End Collision Warning Algorithm

Rear-end traffic collision has been a crucial problem due to numerous injury even death and corresponding economic and social damage. In order to eliminate these threats, a large number of researchers have paid effort on this area, with timeconsuming artificial intelligence-inspired methods or mathematical method in strict assumptions. In this paper, we propose a VANET-based real-time rear-end ...