A Bayesian network decision-making method is proposed by combining driver's eye-tracking data and vehicle-based data together to identify driver lane-changing intents. First, experiments are conducted in a driving simulator with eye-tracker device to obtain the data when a subject driver makes lane-changing maneuvers. Second, collected data are analyzed in machine learning method using Bayesian...

The recent decades have witnessed a fast rising number of motor vehicles. As a result traffic becomes more congested and streets become more risky. Temptations of widely varied communication and entertainment applications even make drivers more over-burdened and distracted. To relieve the continually increasing stress of drivers and reduce the number of accidents, current intelligent vehicle re...

This paper reviews issues in and procedures for the safety evaluation of in-vehicle Advanced Driver Assistance Systems. Contrasts are drawn between the two main areas of driver assistance systems — on the one hand information systems which interact with the driver and on the other hand intervening systems which interact directly with the vehicle. Navigation systems are typical of the former cat...

The increased crash risk of young, novice drivers, especially in their teenage years, has been a growing concern at both the state and federal levels. Teenage drivers are involved in fatal crashes at more than double the rate of the rest of the population per 100 000 licensed drivers. The best way of stemming these losses is to enact laws adopting graduated licensure systems that restrict young...

In the real traffic situations, vehicle would make a braking as the response to avoid collision with another vehicle or avoid some obstacle like potholes, snow, or pedestrian that crosses the road unexpectedly. However, in some cases the spontaneous-braking may occur even though there are no obstacles in front of the vehicle. In some country, the reckless driving behaviors such as sudden-stop b...

The goal of this thesis has been to study the behaviour of the closed loop driver-vehicle-environment in simulation and to find parameters of the synthetic vehicle model, which minimise certain optimisation criteria. A method of optimising parameters using genetic algorithms has been implemented and has proven to work well. Two different driving strategies have been tried in the optimisation of...

This contribution deals with the implementation of an automated cognitive-based supervision concept applied for the first time on a real vehicle. Here, the Situation-Operator-Modeling (SOM) approach is used as a representational concept to model and formalize the logic of interaction between driver, vehicle, and environment based on sensor and video measurements. The programmed implementation o...

Road accidents claim a staggeringly high number of lives every year. From drunk driving, rash driving and driver distraction to visual impairment, over speeding and over-crowding of vehicles, the majority of road accidents occur because of some fault or the other of the driver/occupants of the vehicle. According to the report on “Road Accidents in India, 2011” by the Ministry of Transport and H...

Driver distraction is known to increase crashes, especially when the driver glances for especially long periods of time inside the vehicle. While it is clear that such glances increase risk for the driver when looking inside the vehicle, it is less clear how these glances disrupt the ongoing processing of information outside the vehicle once the eyes return to the road. The present study was ai...

Controller Area Network (CAN) is a network protocol that allows multiple processors in a system to communicate efficiently with each other. Based on requirements of modern vehicles, in vehicle Control Area Network (CAN) architecture has been implemented. In order to reduce point to point wiring harness in vehicle automation, CAN is suggested as a means for data communication within the environm...