With the emergence of ADAS and autonomous vehicle, the need of simulation software to test advanced systems and models is unavoidable. The objective of this work is to characterize, in a multi-agent approach, the traffic vehicles behaviours, and to model them in a versatile traffic simulator, serving as a testing tool for integration in the traffic module of the SCANeR StudioTM simulation software. The algorithm will bring more natural interactions between vehicles in simulation and allow the emergence of new relevant situations for autonomous vehicles, observable in real, such as collision risk situations or even accidents, which have for now to be scripted in scenarios and do not occur naturally
To explore the characteristics and capabilities of the motor vehicle drivers as the optimal solution...
In the context of traffic modeling, we need some improvements in order to allow to simulate the near...
The number of vehicles on the roads increases every day. According to the National Highway Traffic S...
With the emergence of ADAS and autonomous vehicle, the need of simulation software to test advanced ...
International audienceWith the emergence of ADAS and autonomous vehicle, the need of simulation soft...
This paper presents an agent-based traffic simulation framework that supports intelligent virtual dr...
International audienceThe development of automated vehicles (AVs) is ongoing and soon the first vers...
The work described in this thesis aims to improve the validity of traffic simulations in urban and s...
In recent years, there has been enormous public interest in autonomous vehicles (AV), with more than...
The introduction of automated vehicles is expected to affect traffic performance. Microscopic traffi...
Advanced Driving Assistance Systems (ADAS) have huge potential for improving road safety and travel ...
International audienceWe present a multi-agent traffic simulation to improve the validity of traffic...
The present doctoral thesis discusses the ways to improve the performance of driving simulator, prov...
Many traffic problems occur at urban intersections. Advanced Driver Assistance\ud Systems (ADAS) are...
In driving simulation, a scenario includes definitions of the road environment, the traffic situatio...
To explore the characteristics and capabilities of the motor vehicle drivers as the optimal solution...
In the context of traffic modeling, we need some improvements in order to allow to simulate the near...
The number of vehicles on the roads increases every day. According to the National Highway Traffic S...
With the emergence of ADAS and autonomous vehicle, the need of simulation software to test advanced ...
International audienceWith the emergence of ADAS and autonomous vehicle, the need of simulation soft...
This paper presents an agent-based traffic simulation framework that supports intelligent virtual dr...
International audienceThe development of automated vehicles (AVs) is ongoing and soon the first vers...
The work described in this thesis aims to improve the validity of traffic simulations in urban and s...
In recent years, there has been enormous public interest in autonomous vehicles (AV), with more than...
The introduction of automated vehicles is expected to affect traffic performance. Microscopic traffi...
Advanced Driving Assistance Systems (ADAS) have huge potential for improving road safety and travel ...
International audienceWe present a multi-agent traffic simulation to improve the validity of traffic...
The present doctoral thesis discusses the ways to improve the performance of driving simulator, prov...
Many traffic problems occur at urban intersections. Advanced Driver Assistance\ud Systems (ADAS) are...
In driving simulation, a scenario includes definitions of the road environment, the traffic situatio...
To explore the characteristics and capabilities of the motor vehicle drivers as the optimal solution...
In the context of traffic modeling, we need some improvements in order to allow to simulate the near...
The number of vehicles on the roads increases every day. According to the National Highway Traffic S...