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Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice
Department of Transport and Planning, Delft University of Technology, Delft, The Netherlands.ORCID iD: 0000-0002-2919-0253
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics. Linköpings universitet, Kommunikations- och transportsystem.ORCID iD: 0000-0002-4745-4865
Department of Transport and Planning, Delft University of Technology, Delft, The Netherlands.ORCID iD: 0000-0002-9523-4453
Department of Transport and Planning, Delft University of Technology, Delft, The Netherlands.ORCID iD: 0000-0003-1159-9584
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2022 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, p. 1-17Article in journal (Refereed) In press
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE , 2022. p. 1-17
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:vti:diva-18924DOI: 10.1109/tits.2022.3200176OAI: oai:DiVA.org:vti-18924DiVA, id: diva2:1694080
Note

Funding agencies: Applied and Technical Sciences (TTW), a subdomain of the Dutch Institute for Scientific Research (NWO) through the Project Safe and Efficient Operation of Automated and Human-Driven Vehicles in Mixed Traffic (SAMEN) (Grant Number: 17187)Swedish Transport Administration (Trafikverket) through the Project Simulation and Modeling of Automated Road Transport (SMART) (Grant Number: TRV 2019/27044)

Available from: 2022-09-01 Created: 2022-09-08 Last updated: 2022-09-21Bibliographically approved
In thesis
1. Developing Microscopic Traffic Simulation Models for the Transition Towards Automated Driving
Open this publication in new window or tab >>Developing Microscopic Traffic Simulation Models for the Transition Towards Automated Driving
2022 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Vehicles with different capabilities for automated driving will gradually be deployed in road transportation systems over the coming decades. Mixed traffic conditions may change the characteristics of the traffic flow dynamics. 

Microscopic traffic simulation is used for studying traffic flow dynamics in transportation systems. By simulating the interactions between individual vehicles, effects caused by changes in the road infrastructure, by road closures, or by the number and the types of vehicles can be investigated. Impacts on traffic performance can be analyzed in terms of travel times, travel time delays, queue formations, or vehicle throughput. To evaluate the impact of automated driving on traffic performance using microscopic traffic simulation, existing microscopic driving models need to be further developed to describe automated driving. 

The aim of this thesis is to investigate how to further develop microscopic traffic simulation models for automated driving. In this investigation, the aspects to consider in simulation experiments including automated driving are identified. These aspects are the vehicle system, the role of authorities, the role of the users, of the infrastructure, of connectivity features, and of the sensor-based perception of the vehicles. A microscopic traffic simulation experiment showing the possible effects on a motorway in terms of vehicle throughput and travel delays is presented. 

A conceptual model that describes how driving automation systems deal with the perception tasks is proposed. Future research directions will focus on implementing this model for perception in traffic simulation platforms and on the modeling of lateral tactical maneuvers. iii 

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2022. p. 40
National Category
Vehicle Engineering
Identifiers
urn:nbn:se:vti:diva-18934 (URN)10.3384/9789179294397 (DOI)9789179294380 (ISBN)9789179294397 (ISBN)
Presentation
2022-09-02, K2, Kåkenhus, Campus Norrköping, 10:15
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Available from: 2022-09-21 Created: 2022-09-21 Last updated: 2024-02-14Bibliographically approved

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