Testing cooperative intelligent transport systems in distributed simulatorsShow others and affiliations
2019 (English)In: Transportation Research Part F: Traffic Psychology and Behaviour, ISSN 1369-8478, E-ISSN 1873-5517, Vol. 65, p. 206-216Article in journal (Refereed) Published
Abstract [en]
Simulation is often used as a technique to test and evaluate systems, as it provides a cost-efficient and safe alternative for testing and evaluation. A combination of simulators can be used to create high-fidelity and realistic test scenarios, especially when the systems-under-test are complex. An example of such complex systems is Cooperative Intelligent Transport Systems (C-ITS), which include many actors that are connected to each other via wireless communication in order to interact and cooperate. The majority of the actors in the systems are vehicles equipped with wireless communication modules, which can range from fully autonomous vehicles to manually driven vehicles. In order to test and evaluate C-ITS, this paper presents a distributed simulation framework that consists of (a) a moving base driving simulator; (b) a real-time vehicle simulator; and (c) network and traffic simulators. We present our approach for connecting and co-simulating the simulators. We report on limitation and performance that this simulation framework can achieve. Lastly, we discuss potential benefits and feasibility of using the simulation framework for testing of C-ITS.
Place, publisher, year, edition, pages
Elsevier Ltd , 2019. Vol. 65, p. 206-216
Keywords [en]
Cooperative intelligent transportation systems, Hardware-in-the-loop, Moving base driving simulator, Network simulator, Traffic simulator, Automobile simulators, Complex networks, Cooperative communication, Intelligent systems, Traffic control, Vehicle actuated signals, Vehicle to vehicle communications, Vehicles, Driving simulator, Hard-ware-in-the-loop, Intelligent transportation systems, Network simulators, Traffic simulators, Intelligent vehicle highway systems
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-39792DOI: 10.1016/j.trf.2019.07.020Scopus ID: 2-s2.0-85070355325OAI: oai:DiVA.org:ri-39792DiVA, id: diva2:1343727
Note
Funding details: VINNOVA, 2015-04881; Funding text 1: Research leading to these results has received funding by the Swedish government agency for innovation systems ( VINNOVA ) in the NGEA step 2 project (ref 2015-04881 ). The authors would also like to acknowledge the support from Lindholmen Science Park for hosting the VICTA Lab. Last but not least, the authors would like to acknowledge School of Information Technology at Halmstad University for supporting the work.
2019-08-192019-08-192023-05-19Bibliographically approved