Stochastic microscopic modelling of traffic flow for automated driving validation

Peng Cao

doi:10.1117/12.3034823

7 August 2024 Stochastic microscopic modelling of traffic flow for automated driving validation

Peng Cao

Proceedings Volume 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024); 132242V (2024) https://doi.org/10.1117/12.3034823
Event: 4th International Conference on Internet of Things and Smart City, 2024, Hangzhou, China

Abstract

Automated driving is nowadays considered as a solution to solve traffic congestion and increase driving comfort. However, it will be commercialized only until its functionality and safety are validated. Due to the complexity of traffic situations billons of stochastic test kilometres are required for the validation, which makes the validation in real world expensive. Simulation-based test is a way to reduce the cost. Traffic flow models can generate the various test scenarios required in simulation-based test. However, the traditional modelling methods are normally aimed at realistic representation of a real traffic flow and can hardly be proven that the generated traffic flow can have a high coverage over the corner cases required by automated driving validation. This paper introduces a method for microscopic modelling of stochastic traffic flow for automated driving validation. Its quick coverage over corner cases for automated driving is proven.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peng Cao "Stochastic microscopic modelling of traffic flow for automated driving validation", Proc. SPIE 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024), 132242V (7 August 2024); https://doi.org/10.1117/12.3034823

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