A PROBABILISTIC MODEL FOR AVCS LONGITUDINAL COLLISION/ SAFETY ANALYSIS

A Probabilistic Model for AVCs longitudinal Collision/ Safety Analysis

Probabilistic Model-Based Safety Analysis

Model-based safety analysis approaches aim at finding critical failure combinations by analysis of models of the whole system (i.e. software, hardware, failure modes and environment). The advantage of these methods compared to traditional approaches is that the analysis of the whole system gives more precise results. Only few model-based approaches have been applied to answer quantitative quest...

Semiautonomous Longitudinal Collision Avoidance Using a Probabilistic Decision Threshold

Automated emergency maneuvering systems can avoid or reduce the severity of collisions by taking control of a vehicle away from the driver during high-risk situations. The choice of when to switch to emergency control is challenging in the presence of uncertain information (imperfect sensors, road conditions, uncertain object behavior, etc.) and many dynamic obstacles. This paper considers long...

Sensor Noise Model Development of a Longitudinal Positioning System for AVCS

Advanced Vehicle Control Systems (AVCS) as envisioned by the California Partners for Advanced Transit and Highways (PATH) program. System simulation is crucial to ensure that every portion of the whole system we have designed will perform adequately together. For automated highway systems, simulation is essential for controller design. To create a more realistic simulation environment, we need ...

A Probabilistic Framework for Highway Safety Analysis '

Brownian motion is used to model the uncertainty in the motion of cars on a highway. The probability of collision of two adjacent cars within a fixed horizon is calculated and its implications are discussed. Moreover, the probability of collision in the presence of emergency braking is also obtained by modeling the occurrence of emergency braking as a Poisson process.