Title
Trustworthiness of Self-Driving Vehicles for Intelligent Transportation Systems in Industry Applications
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.
Year
DOI
Venue
2021
10.1109/TII.2020.2987431
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
IIoT,intelligent transportation system,self-driving vehicle,trust,uncertainty
Journal
17
Issue
ISSN
Citations 
2
1551-3203
2
PageRank 
References 
Authors
0.35
0
4
Name
Order
Citations
PageRank
Abdullahi Chowdhury192.40
G. C. Karmakar2182.19
J. Kamruzzaman35011.06
Syed Islam463.12