Cluster Based Architecture for Preventing Accident and Rear-End Collision in VANET

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 ...

Multi-Hop Cluster and LTE Based Heterogeneous Architecture for VANET

Vehicular Ad-Hoc Network (VANET) is a promising Intelligent Transportation System (ITS) technology that enables numerous applications such as safety message dissemination, dynamic route discovery, gaming and entertainment. First part of the thesis focuses on constructing stable clusters by determining the vehicles sharing similar mobility pattern to provide robust communication with minimum ove...

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 (...

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

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...