지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.11
- 수록면
- 96 - 99 (4page)
이용수
초록· 키워드
오류제보하기
Recently, the optimal path search based on real-time traffic information is becoming more important in car navigation industries. The preference-based Ant Colony Optimization algorithm is suitable for the path search in a real-time traffic circumstance. However, this algorithm is not applicable to current car navigation due to the slow search time caused by the complex calculations. Likewise, sub-optimal problem is occurred according to circumstances of probability-based search and parameter settings in this algorithm. This paper presents a path search engine for the fast optimal path search, using simplified calculation and parallel architectures to apply path search algorithm. Also, A* architecture is added in the path search engine to supplement sub-optimal problem. The path search engine obtains the accurate optimal path and the search time improvement compared to the software-based path search in a general purpose processor that is typically used for car navigation.
목차
Abstract
I. INTRODUCTION
II. HARDWARE ARCHITECTURE OF THE PSE
III. PERFORMANCE EVALUATION
IV. CONCLUSIONS
ACKNOWLEDGE
NOTATIONS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2013-569-001474489