Abstract As a complex driving behavior, lane-changing (LC) behavior has great influence on traffic flow. Improper often leads to accidents. Numerous studies are currently being conducted predict lane change trajectories minimize dangers. However, most of their models focus how optimize input variables without considering the interaction between output variables. This study proposes LC trajector...

This paper is concerned with the planning of optimal trajectories for vehicle collision avoidance with a Timed Elastic Band (TEB) framework. The avoidance trajectory is represented by a TEB which is optimized with respect to multiple partially conflicting objectives. The resulting trajectory constitutes the optimal compromise between a mere braking and a lane change maneuver that avoids the col...

The paper presents a global chassis control (GCC) optimization approach using a gradient-based optimal control algorithm. The goal is to find optimal actions of various actuators such as active steering and active differential, which ensure satisfying the optimization criterion (e.g. trajectory following error minimization) subject to different equality and inequality constraints on state and c...

A number of the Intelligent Transportation System (ITS) solutions have been implemented in conventional vehicles in recent years. In the not too distant future driverless vehicles will share the roads with vehicles driven by human beings. In this paper, a novel algorithm for switching from one driving maneuver to another is proposed. The interface has been developed in C++ Visual Studio and usi...

complete the maneuver in a real driving situation. Our Some motor tasks can be completed, quite literally, results reveal that subjects do indeed make the same with our eyes shut. Most people can touch their nose mistakes in a driving simulator when no visual feedback without looking or reach for an object after only a brief is provided and that this reveals something fundamental glance at its ...