- Title
- Trustworthiness of self-driving vehicles for intelligent transportation systems in industry applications
- Creator
- Chowdhury, Abdullahi; Karmakar, Gour; Kamruzzaman, Joarder; Islam, Syed
- Date
- 2021
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/175197
- Identifier
- vital:14926
- Identifier
-
https://doi.org/10.1109/TII.2020.2987431
- Identifier
- ISBN:1551-3203
- Abstract
- To enhance industrial production and automation, rapid and faster transportation of raw materials and finished products to and from distributed factories, warehouses and outlets are essential. To reduce cost with increased efficiency, this will increasingly see the use of connected and self-driving commercial vehicles fitted with industrial grade sensors on roads, shared with normal and self-driving passenger vehicles. For its wide adoption, the trustworthiness of self-driving vehicles in the intelligent transportation system (ITS) is pivotal. In this article, we introduce a novel model to measure the overall trustworthiness of a self-driving vehicle considering on-Board unit (OBU) components, GPS data and safety messages. In calculating the trustworthiness of individual OBU components, CertainLogic and beta distribution function (BDF) are used. Those trust values are fused using both the dempster-Shafer Theory (DST) and a logical operator of CertainLogic. Results of our simulation show that our proposed method can effectively determine the trust of self-driving vehicles. © 2005-2012 IEEE.
- Publisher
- IEEE Computer Society
- Relation
- IEEE Transactions on Industrial Informatics Vol. 17, no. 2 (2021), p. 961-970
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2020 IEEE.
- Subject
- 08 Information and Computing Sciences; 09 Engineering; 10 Technology; IIoT; Intelligent transportation system; Self-driving vehicle; Trust; Uncertainty
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