TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Yay, Emre
A1  - Martínez Madrid, Natividad
A1  - Ortega Ramírez, Juan Antonio
T1  - Using an improved rule match algorithm in an expert system to detect broken driving rules for an energy-efficiency and safety relevant driving system
JF  - Procedia computer science
N2  - 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.
KW  - driving system
KW  - expert sytem
KW  - rule match algorithm
KW  - rete algorithm
KW  - energy-efficiency
Y1  - 2014
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-872
U6  - https://doi.org/10.1016/j.procs.2014.08.092
DO  - https://doi.org/10.1016/j.procs.2014.08.092
VL  - 35
IS  - Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, Gdynia, Poland, September 2014 : Proceedings
SP  - 127
EP  - 136
S1  - 10
PB  - Elsevier
CY  - Amsterdam
ER  -