Developing Rear-End Collision Models of Roundabouts in Korea

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...

Rear-end Collision Prevention Using Mobile Devices

Portable devices like tablet PCs and smart phones are being used more often these days within the vehicular environment. Drivers use them for listening to music, navigation assistance, accessing internet and also mainly for speaking over the phone. Most of these features are made possible in the portable devices due to the availability and use of many sensors such as global positioning system (...

Unsafe rear-end collision avoidance in Alzheimer's disease.

Drivers with cognitive impairment are at increased odds for vehicular crashes. Rear-end collisions (REC) are among the most common crash types. We tested REC avoidance in 61 drivers with mild Alzheimer's disease (AD) and 115 elderly controls using a high-fidelity interactive driving simulator. After a segment of uneventful driving, each driver suddenly encountered a lead vehicle stopped at an i...

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

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 ...