作者: Kyounga Park , Michael G. H. Bell , Ioannis Kaparias , Klaus Bogenberger
DOI: 10.3141/2000-11
关键词: Routing (electronic design automation) 、 Adaptive control 、 Adaptation (computer science) 、 Intelligent transportation system 、 Artificial intelligence 、 Process (engineering) 、 Navigational aid 、 Machine learning 、 Rule-based system 、 Engineering 、 User interface
摘要: A route choice model was devised for personalized guidance; it can adaptively change its routing function according to the demands of user. strategy guidance is incorporate an adaptation process into selection rules. In a study, regularities in were discovered by using rule-based approach, C4.5 algorithm, which had advantages over other methods because comprehendible structure. The combined with user interface, enabling efficient collection feedback. To examine adaptability model, experiments preferences are predefined and later changed during tests carried out. results indicate applicability guidance.