The complexity of human behaviors makes their modeling very difficult. To build a model that reproduce many concurrent aspects of those behaviors, we propose to use a testdriven like methodology. To validate this methodology, we reuse a car driver model and build a truck driver model by considering relevant aspects. We analyze, test and verify the model by using the hysteresis phenomena appeari...

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 future...

Due to the increasing demand for traveling in public transportation systems and increasing traffic of vehicles, nowadays vehicles are getting to be intelligent to increase safety, reduce the probability of accident and also financial costs. Therefore, today, most vehicles are equipped with multiple safety control and vehicle navigation systems. In the process of developing such systems, simulat...

Driver behavior models have been used as input to self-coaching, accident prevention studies, and developing driver-assisting systems. In recent years, driver recognition has revolutionized autonomous vehicles (AVs) traffic management studies. This comprehensive survey provides an up-to-date review of the different modeling approaches. heterogeneous streets where humans operate simultaneously, ...

Human Modeling for Autonomous Vehicles: Reachability Analysis, Online Learning, and Driver Monitoring for Behavior Prediction