A shared lane keeping assistance system supports the driver in the steering task. In contrast to an autonomous system, the shared system works in parallel with the driver by applying an additional torque on the steering wheel. This means the system and the driver perform the steering task in cooperation. As the driver is still part of the control loop a driver model is required to predict the s...

A study was undertaken to investigate whether driver celeration (overall mean speed change) behavior can predict traffic accident involvement. Also, to test whether acceleration, deceleration or the combined celeration measure was the better predictor. Bus driver celeration behavior was measured repeatedly in real traffic, driving en route, and correlated with accidents for which the drivers we...

Modern safety systems are transforming vehicles from human-controlled passive devices into human-centric intelligent/ active systems. There is a wide range of systems from fully autonomous vehicles to humanaugmented control devices which have emerged in this field. In current trends, co-operative active systems have the driver in the decision and control processes are favored for their ‘human-c...

We present a microscopic driving algorithm that prescribes the acceleration using three parameters: distance to leading vehicle, next traffic light and nearest stopping point when is in red phase. apply this construct decision trees enable two behaviors: aggressive careful. The focus of study analyze amount drivers are needed order generate gridlock portion city with signalized intersections. A...

Studies have shown that autonomous vehicles (AVs) behave conservatively in a traffic environment composed of human drivers and do not adapt to local conditions socio-cultural norms. It is known socially aware AVs can be designed if there exists mechanism understand the behaviors drivers. We present an approach leverages machine learning predict, This similar how humans implicitly interpret on r...