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Using an improved rule match algorithm in an expert system to detect broken driving rules for an energy-efficiency and safety relevant driving system

  • Vehicles have been so far improved in terms of energy-efficiency and safety mainly by optimising the engine and the power train. However, there are opportunities to increase energy-efficiency and safety by adapting the individual driving behaviour in the given driving situation. In this paper, an improved rule match algorithm is introduced, which is used in the expert system of a human-centred driving system. The goal of the driving system is to optimise the driving behaviour in terms of energy-efficiency and safety by giving recommendations to the driver. The improved rule match algorithm checks the incoming information against the driving rules to recognise any breakings of a driving rule. The needed information is obtained by monitoring the driver, the current driving situation as well as the car, using in-vehicle sensors and serial-bus systems. On the basis of the detected broken driving rules, the expert system will create individual recommendations in terms of energy-efficiency and safety, which will allow eliminating bad driving habits, while considering the driver needs.

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Metadaten
Name:Yay, Emre; Martínez Madrid, Natividad
URN:urn:nbn:de:bsz:rt2-opus4-872
DOI:https://doi.org/10.1016/j.procs.2014.08.092
eISSN:1877-0509
Erschienen in:Procedia computer science
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Article
Language:English
Year of Publication:2014
Tag:driving system; energy-efficiency; expert sytem; rete algorithm; rule match algorithm
Volume:35
Issue:Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, Gdynia, Poland, September 2014 : Proceedings
Pagenumber:10
First Page:127
Last Page:136
Dewey Decimal Classification:000 Allgemeines, Wissenschaft
600 Technik
Open Access:Ja
Licence (German):License Logo  Creative Commons - Namensnennung, nicht kommerziell, keine Bearbeitung