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Detecting the adherence of driving rules in an energy-efficient, safe and adaptive driving system

  • An adaptive and rule-based driving system is being developed that tries to improve the driving behavior in terms of the energy-efficiency and safety by giving recommendations. Therefore, the driving system has to monitor the adherence of driving rules by matching the rules to the driving behavior. However, existing rule matching algorithms are not sufficient, as the data within a driving system is changing frequently. In this paper a rule matching algorithm is introduced that is able to handle frequently changing data within the context of the driving system. 15 journeys were used to evaluate the performance of the rule matching algorithms. The results showed that the introduced algorithm outperforms existing algorithms in the context of the driving system. Thus, the introduced algorithm is suited for matching frequently changing data against rules with a higher performance, why it will be used in the driving system for the detection of broken energy-efficiency of safety-relevant driving rules.

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Metadaten
Name:Yay, Emre; Martínez Madrid, Natividad
DOI:https://doi.org/10.1016/j.eswa.2015.10.044
ISSN:0957-4174
Erschienen in:Expert systems with applications
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Article
Language:English
Year of Publication:2016
Tag:driving system; energy-efficiency; rule matching algorithm; safety
Issue:47
Pagenumber:13
First Page:58
Last Page:70
Dewey Decimal Classification:004 Informatik
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen Elsevier