Abstract In the near future, autonomous vehicles (AVs) may cohabit with human drivers in mixed traffic. This cohabitation raises serious challenges, both terms of traffic flow and individual mobility, as well from road safety point view. Mixed fail to fulfill expected security requirements due heterogeneity unpredictability drivers, cars could then monopolize Using multi-agent reinforcement lea...

Abstract—Multi-Resolution Analysis: MRA based on the mother wavelet function with which support length differs from the image of the automobile rear under run is performed, and the run characteristic of a car is searched for. Speed, deflection, etc. are analyzed and the method of detecting vehicles with high accident danger is proposed. The experimental results show that vehicles in a dangerous...

This demonstration presents the integrated multi-agent traffic simulation for human-in-the-loop cooperative drive systems testing. Its openness and flexibility supports a wide range of testing and validation possibilities for the researchers and developers in the field of autonomous vehicles, cooperative drive, driver assistants, and HMI design and development. The system is able to integrate v...

Autonomous Underwater Vehicles (AUVs) are in operation and under study around the world. As techniques are being developed for practical use, different vehicles and tools are proliferating. Each vehicle requires dedicated tools, broad knowledge and troubleshooting skills to plan and analyze missions. Executing these missions is often fraught with operational challenges as well. Multiple systems...

This paper focuses on the multi-agent highway traffic simulation. It provides a realistic modeling with high fidelity continuous vehicle movement incorporating physical dynamics of the vehicles. The deliberative agent part of the system enables to implement and evaluate complex cooperation and coordination algorithms. The paper presents the architecture and implemented simulator for evaluation ...