Complex traffic scenarios at uncontrolled intersections are crucial for the test validation of autonomous driving systems. The core of the test scenario construction lies in the accurate modeling of the complex interaction behaviors between vehicles in dynamic traffic. Data-driven models are difficult to support long-term simulation due to the existence of cumulative errors. In addition, existing mechanistic models usually assume rational driver behavior and focus mainly on improving efficiency and safety, thus simplifying vehicle interactions. To overcome the limitations of existing studies, we construct a complex traffic interaction model based on social force theory. This model captures the intricate interactions among vehicles at uncontrolled intersections by introducing the concepts of driving and repulsive forces. In particular, we propose a novel concept of segmented conflicting repulsion, an approach that can accurately model high-risk scrambling interactions between vehicles at intersections. Validation of the model using real data sets demonstrates its ability to accurately reproduce complex interaction behaviors at real-world intersections. Further, simulation analysis and application results reveal that our model-generated scenarios significantly outperform those created by SUMO in terms of complexity, thereby effectively enhancing the safety assessment of the autonomous driving system, Apollo.
Modeling of Complex Traffic Interaction Under Uncontrolled Intersection Scenario
IEEE Transactions on Intelligent Vehicles ; 9 , 12 ; 8154-8165
01.12.2024
9977548 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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|Driver Behaviour at an Uncontrolled T-Intersection in a Mixed Traffic Situation
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|Probabilistic Model for Conflicts at Urban Uncontrolled Intersection
British Library Online Contents | 1997
|