Overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. In this study, two novel prediction models for overtaking behavior are proposed. These models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (MANFIS). They are validated at microscopic level and are able to simulate and predict the fut...

This study explores the relationship between the vehicle exhaust emissions caused by a trip and the characteristics of the driver involved. The hypothesis formulated is that certain ‘groups’ of individuals produce more emissions (per kilometre) than others and therefore should be treated differently when aiming vehicle emission reduction. To support this hypothesis an activity-based survey coll...

22 n 1997 North Carolina was one of the first two states in the nation to adopt a Graduated Driver Licensing system (GDL) to reduce motor vehicle crashes among young novice drivers. This policy was driven heavily by scientific research. At that time, motor vehicle crashes were the leading cause of death among teenagers. The adoption of GDL led to a sharp decline in teenage driver crashes and a ...

Multi-vehicle rear-end accidents constitute a substantial portion of the accidents occurring at signalized intersections. To examine the accident characteristics, this study utilized the 2001 Florida traffic accident data to investigate the accident propensity for different vehicle roles (striking or struck) that are involved in the accidents and identify the significant risk factors related to...

An adaptive fuzzy logic controller is described which assists the driver in vehicle speed and distance control by offering a driving strategy via an active accelerator and brake pedal. In order to be accepted by the driver, the behavior of the system called ACC (Adaptive Cruise Control) has to meet the expectations of the human driver to a certain degree. The Fuzzy-ACC provides separate control...

Driving support and cruise assist systems are of growing importance in achieving both road traffic safety and convenience. Such driver support seeks to achieve, with the highest possible quality, nothing less than “driver-vehicle symbiosis under all conditions.” At the same time, many traffic accidents result from improper driver behavior. The author focuses on driver behavior under various dri...

Obstacle detection is an active research area in the field of image processing. On road obstacle detection is an important problem in the area of intelligent transportation systems, driver assistance systems and automated guided vehicles. The proposed algorithm detects all obstacles on road using a single onboard camera which is mounted on a travelled vehicle in real-time for driver assistance....

Current road safety initiatives are approaching the limit of their effectiveness in developed countries. A paradigm shift is needed to address the preventable deaths of thousands on our roads. Previous systems have focused on one or two aspects of driving: environmental sensing, vehicle dynamics or driver monitoring. Our approach is to consider the driver and the vehicle as part of a combined s...