Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations

Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice

Farah, H. (TU Delft Transport and Planning)
Postigo, Ivan (Linkoping University, Norrkoping, Sweden and with the Swedish National Road and Transport Research Institute (VTI))
Reddy, N. (TU Delft Transport and Planning)
Dong, Y. (TU Delft Transport and Planning)
Rydergren, Clas (Linkoping University)
Raju, Narayana (TU Delft Transport and Planning)
Olstam, Johan (Linkoping University, Norrkoping, Sweden and with the Swedish National Road and Transport Research Institute (VTI))

2022

The gradual deployment of automated vehicles on the existing road network will lead to a long transition period in which vehicles at different driving automation levels and capabilities will share the road with human driven vehicles, resulting into what is known as mixed traffic. Whether our road infrastructure is ready to safely and efficiently accommodate this mixed traffic remains a knowledge gap. Microscopic traffic simulation provides a proactive approach for assessing these implications. However, differences in assumptions regarding modeling automated driving in current simulation studies, and the use of different terminology make it difficult to compare the results of these studies. Therefore, the aim of this study is to specify the aspects to consider for modeling automated driving in microscopic traffic simulations using harmonized concepts, to investigate how both empirical studies and microscopic traffic simulation studies on automated driving have considered the proposed aspects, and to identify the state of the practice and the research needs to further improve the modeling of automated driving. Six important aspects were identified: the role of authorities, the role of users, the vehicle system, the perception of surroundings based on the vehicle’s sensors, the vehicle connectivity features, and the role of the infrastructure both physical and digital. The research gaps and research directions in relation to these aspects are identified and proposed, these might bring great benefits for the development of more accurate and realistic modeling of automated driving in microscopic traffic simulations.

Microscopic Traffic Simulation
Automated Vehicles
Mixed Traffic
Automated Driving
Traffic flow performance

http://resolver.tudelft.nl/uuid:835e20e0-87d4-4e32-8d94-0afb9c43eb8a

https://doi.org/10.1109/TITS.2022.3200176

2023-03-01

1524-9050

IEEE Transactions on Intelligent Transportation Systems, 24 (6), 6558-6574

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2022 H. Farah, Ivan Postigo, N. Reddy, Y. Dong, Clas Rydergren, Narayana Raju, Johan Olstam