Modeling multi-vehicle interaction scenarios using gaussian random field
Autonomous vehicles are expected to navigate in complex traffic scenarios with multiple
surrounding vehicles. The correlations between road users vary over time, the degree of …
surrounding vehicles. The correlations between road users vary over time, the degree of …
OpenCDA-ROS: Enabling seamless integration of simulation and real-world cooperative driving automation
Autonomous driving (AD) and Cooperative Driving Automation (CDA) hold great promise for
transforming mobility. However, current off-the-shelf AD or CDA platforms such as Autoware …
transforming mobility. However, current off-the-shelf AD or CDA platforms such as Autoware …
MR-IDM-Merge Reactive Intelligent Driver Model: Towards Enhancing Laterally Aware Car-following Models
This paper discusses the limitations of existing microscopic traffic models in accounting for
the potential impacts of on-ramp vehicles on the car-following behavior of main-lane …
the potential impacts of on-ramp vehicles on the car-following behavior of main-lane …
[PDF][PDF] A comprehensive microscopic autonomous driver model for use in high-fidelity driving simulation environments
Driving simulation is an invaluable tool for conducting driving-related research. In any virtual
driving environment, autonomous traffic is necessary to complete the driver's immersive …
driving environment, autonomous traffic is necessary to complete the driver's immersive …
Xr-oom: Mixing virtual driving simulation with real cars and environments safely
High-fidelity driving simulators can act as test beds for designing in-vehicle interfaces or
validating the safety of novel driver assistance features. XR-OOM is a mixed-reality driving …
validating the safety of novel driver assistance features. XR-OOM is a mixed-reality driving …
Hardware-in-the-loop testing of connected and automated vehicle applications: a use case for cooperative adaptive cruise control
Most existing studies on connected and automated vehicle (CAV) applications apply
simulation to evaluate system effectiveness. Model accuracy, limited data for calibration, and …
simulation to evaluate system effectiveness. Model accuracy, limited data for calibration, and …
Bridging physical and digital traffic system simulations with the gulliver test-bed
C Berger, E Dahlgren, J Grunden… - … for Vehicles: 5th …, 2013 - Springer
We propose a cyber-physical platform that combines road traffic simulation, network
simulation, and physically simulated vehicles to facilitate extensive testing on various levels …
simulation, and physically simulated vehicles to facilitate extensive testing on various levels …
AVDM: A hierarchical command-and-control system architecture for cooperative autonomous vehicles in highways scenario using microscopic simulations
T Braud, J Ivanchev, C Deboeser, A Knoll… - Autonomous Agents and …, 2021 - Springer
Microscopic agent-based traffic simulation is an important tool for the efficient and safe
resolution of various traffic challenges accompanying the introduction of autonomous …
resolution of various traffic challenges accompanying the introduction of autonomous …
Integration of driving and traffic simulation: Issues and first solutions
Driving simulators are very suitable test beds for the evaluation and development of
intelligent transportation systems (ITSs). However, the impact of such systems on the …
intelligent transportation systems (ITSs). However, the impact of such systems on the …
Distributed real-time traffic simulation for autonomous vehicle testing in urban environments
This work presents a distributed real-time simulation setup for automated driving function
testing in urban environments. In the automotive domain, a large number of simulation …
testing in urban environments. In the automotive domain, a large number of simulation …