Modern vehicles are designed to protect occupants in the event of a crash. However, passenger protection can be combined with collision avoidance. Statistics have shown that human error is the number one contributor to road accidents. Advanced driver behavior and monitoring systems have been developed by manufacturers in recent years and many have been proven to be effective systems in the prev...

The quantitative measurement of driver behavior has been central to much of the systematic research underlying highway safety issues during the past forty years. It has contributed to the way in which we design roads, vehicles, training programs, signs and markings, and intelligent transportation systems. Yet the methods we use to conduct driver behavior experiments may result in a disconnect w...

A method for detecting drivers’ intentions is essential to facilitate operating mode transitions between driver and driver assistance systems. We propose a driver behavior recognition method using Hidden Markov Models (HMMs) to characterize and detect driving maneuvers and place it in the framework of a cognitive model of human behavior. HMM-based steering behavior models for emergency and norm...

Background: Human factors have the most significant effects on the occurrence of traffic accidents among the three factors of human, road, and vehicle. The driver is a significant traffic safety concern. Interventions that enhance driver’s safety are required. Risky behaviors of drivers on the road influence physical healthy and personality. The aim of this study is to report the protocol...

There is an increasing body of research investigating relationships between personality factors and crash involvement. This research estimates that personality factors account for about 10 to 20% of the variance in crashes. However, there are a number of limitations associated with this research. Most studies are cross-sectional or retrospective in design, are based on self-reported crashes or ...