Improving Driver Assistance in Intelligent Transportation Systems: An Agent-Based Evidential Reasoning Approach
Joint Authors
Benalla, M.
Achchab, B.
Hrimech, H.
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-04
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Providing accurate real-time traffic information is an inherent problem for intelligent transportation systems (ITS).
In order to improve the knowledge base of advanced driver assistance systems (ADAS), ITS are strongly concerned with data fusion techniques of all kinds of sensors deployed over the traffic network.
Driver assistance is devoid of a comprehensive evidential reasoning system on contextual information, more specifically when a combination involves inside and outside sensory information of the driving environment.
In this paper, we propose a novel agent-based evidential reasoning system using contextual information.
Based on a series of information handling techniques, specifically, the belief functions theory and heuristic inference operations to achieve a consensus about daily driving activity in automatically inferring.
That is quite different from other existing proposals, as it deals jointly with the driving behavior and the driving environment conditions.
A case study including various scenarios of experiments is introduced to estimate behavioral information based on synthetic data for prediction, prescription, and policy analysis.
Our experiments show promising, thought-provoking results encouraging further research.
American Psychological Association (APA)
Benalla, M.& Achchab, B.& Hrimech, H.. 2020. Improving Driver Assistance in Intelligent Transportation Systems: An Agent-Based Evidential Reasoning Approach. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1175641
Modern Language Association (MLA)
Benalla, M.…[et al.]. Improving Driver Assistance in Intelligent Transportation Systems: An Agent-Based Evidential Reasoning Approach. Journal of Advanced Transportation No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1175641
American Medical Association (AMA)
Benalla, M.& Achchab, B.& Hrimech, H.. Improving Driver Assistance in Intelligent Transportation Systems: An Agent-Based Evidential Reasoning Approach. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1175641
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175641