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A simulation framework for cooperative intelligent transport systems testing and evaluation
Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. School of Information Technology, Halmstad University, Halmstad, Sweden.ORCID iD: 0000-0003-4951-5315
School of Information Technology, Halmstad University, Halmstad, Sweden.
Swedish National Road and Transport Research Institute, Traffic and road users.ORCID iD: 0000-0002-0822-5701
Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization.ORCID iD: 0000-0002-0936-1561
2019 (English)In: Transportation Research Part F: Traffic Psychology and Behaviour, ISSN 1369-8478, E-ISSN 1873-5517, Vol. 61, no February, p. 268-280Article in journal (Refereed) Published
Abstract [en]

Connected and automated driving in the context of cooperative intelligent transport systems (C-ITS) is an emerging area in transport systems research. Interaction and cooperation between actors in transport systems are now enabled by the connectivity by means of vehicle-to-vehicle and vehicle-to-infrastructure (V2X) communication. To ensure the goals of C-ITS, which are safer and more efficient transport systems, testing and evaluation are required before deployment of C-ITS applications. Therefore, this paper presents a simulation framework-consisting of driving-, traffic-, and network-simulators-for testing and evaluation of C-ITS applications. Examples of cooperative adaptive cruise control (CACC) applications are presented, and are used as test cases for the simulation framework as well as to elaborate on potential use cases of it. Challenges from combining the simulators into one framework, and limitations are reported and discussed. Finally, the paper concludes with future development directions, and applications of the simulation framework in testing and evaluation of C-ITS.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 61, no February, p. 268-280
Keywords [en]
Simulator (driving), Automation, Driving, Simulation, Traffic, Transport network, Test
National Category
Vehicle and Aerospace Engineering
Research subject
90 Road: Vehicles and vehicle technology, 914 Road: ITS och vehicle technology
Identifiers
URN: urn:nbn:se:vti:diva-12428DOI: 10.1016/j.trf.2017.08.004ISI: 000464489700024Scopus ID: 2-s2.0-85028624553OAI: oai:DiVA.org:vti-12428DiVA, id: diva2:1144872
Note

Research funding provided by SAFER - Vehicle and Traffic Safety Centre at Chalmers, as a part of Vehicle ICT Innovation Methodology (VICTIg) project.

This paper is an extension of the works originally reported in the Driving Simulation Conference 2016 and Proceedings of the 2016 annual ACM Conference on SIGSIM Principles of Advanced Discrete Simulation.

Available from: 2017-09-27 Created: 2017-09-27 Last updated: 2025-02-14Bibliographically approved

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Aramrattana, MaytheewatJansson, JonasNåbo, Arne

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