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Modelling the Level of Trust in a Cooperative Automated Vehicle Control System
Halmstad University, Sweden ; Salzburg University of Applied Sciences, Austria ; Chalmers University of Technology, Sweden.
RISE - Research Institutes of Sweden, ICT, Viktoria. Halmstad University, Sweden.ORCID iD: 0000-0002-1043-8773
2018 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 19, no 4, p. 1267-1247Article in journal (Refereed) Published
Abstract [en]

Vehicle-to-vehicle communication is a key technology for achieving increased perception for automated vehicles, where the communication enables virtual sensing by means of sensors in other vehicles. In addition, this technology also allows detection and recognition of objects that are out-of-sight. This paper presents a trust system that allows a cooperative and automated vehicle to make more reliable and safe decisions. The system evaluates the current situation and generates a trust index indicating the level of trust in the environment, the ego vehicle, and the surrounding vehicles. This research goes beyond secure communication and concerns the verification of the received data on a system level. The results show that the proposed method is capable of correctly identifying various traffic situations and how the trust index is used while manoeuvring in a platoon merge scenario.

Place, publisher, year, edition, pages
2018. Vol. 19, no 4, p. 1267-1247
Keywords [en]
autonomous driving, Control systems, cooperative driving, Decision making, GCDC 2016, Kalman filters, Radar, reliability., Sensor systems, trust, vehicle-to-vehicle communication, Vehicular ad hoc networks, Ad hoc networks, Automation, Control system synthesis, Cooperative communication, Mobile telecommunication systems, Object detection, Reliability, Vehicles, Vehicle to vehicle communications
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-32433DOI: 10.1109/TITS.2017.2749962Scopus ID: 2-s2.0-85030752579OAI: oai:DiVA.org:ri-32433DiVA, id: diva2:1153799
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2018-05-04Bibliographically approved

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Englund, Cristofer

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