Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)

  • 2014.11a
  • /
  • Pages.894-897
  • /
  • 2014
  • /
  • 2005-0011(pISSN)
  • /
  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
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Data Mining and Artificial Intelligence Approach for Intelligent Transportation System

ITS를 위한 데이터 마이닝과 인공지능 기법 연구

  • Sam, Kaung Myat (Dept. of IT Convergence and Application Engineering, Pukyong National University) ;
  • Rhee, Kyung-Hyune (Dept. of IT Convergence and Application Engineering, Pukyong National University)
  • ;
  • 이경현 (부경대학교 IT융합응용공학과)
  • Published : 2014.11.05
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Abstract

The speed of processes and the extremely large amount of data to be used in Intelligence Transportations System (ITS) cannot be handling by humans without considerable automation. However, it is difficult to develop software with conventional fixed algorithms (hard-wired logic on decision making level) for effectively manipulate dynamically evolving real time transportation environment. This situation can be resolved by applying methods of artificial intelligence and data mining that provide flexibility and learning capability. This paper presents a brief introduction of data mining and artificial intelligence (AI) applications in Intelligence Transportation System (ITS), analyzing the prospects of enhancing the capabilities by means of knowledge discovery and accumulating intelligence to support in decision making.

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