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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Ãß»ó ±×·¡ÇÁ¸¦ È°¿ëÇÑ °æ·Î Ž»ö ¾Ë°í¸®ÁòÀÇ ±¸Çö ¹× ¼º´É Æò°¡
¿µ¹®Á¦¸ñ(English Title) Implementation and Evaluation of Path-Finding Algorithm using Abstract Graphs
ÀúÀÚ(Author) ±èÁö¼ö   ÀÌÁö¿Ï   Á¶´ë¼ö   Ji-Soo Kim   Ji-wan Lee   Dae-Soo Cho  
¿ø¹®¼ö·Ïó(Citation) VOL 13 NO. 11 PP. 2367 ~ 2372 (2009. 11)
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(Korean Abstract)
ÃÖ±Ù ´Ü¸»±â ±â¹ÝÀÇ °æ·Î Ž»ö¿¡¼­µµ µ¿ÀûÀÎ Á¤º¸¸¦ ¹Ý¿µÇϱâ À§ÇÑ ¿¬±¸°¡ ÁøÇàµÇ°í ÀÖ´Ù. Á¦½ÃÇÏ´Â ´ëºÎºÐÀÇ ¾Ë°í¸®ÁòÀº A¾Ë°í¸®ÁòÀ» ±â¹ÝÀ¸·Î ÇÑ´Ù. ÈÞ¸®½ºÆ½À» ÀÌ¿ëÇÑ ¾Ë°í¸®Áò¿¡¼­´Â Ž»ö ºñ¿ëÀÌ Áõ°¡ÇÏ´Â ¹®Á¦°¡ ¹ß»ýÇÒ ¼ö ÀÖ´Ù. Ãß»ó ±×·¡ÇÁ´Â ½ÇÁ¦ µµ·Î ³×Æ®¿öÅ©¸¦ ´Ü¼øÈ­ÇÑ ±×·¡ÇÁ·Î, ÈÞ¸®½ºÆ½ÀÇ ÀÇÁ¸¼º°ú Ž»ö ºñ¿ëÀ» ÁÙÀ̱â À§ÇØ Á¦¾ÈµÈ ¹æ¹ýÀÌ´Ù. ÀÌ ³í¹®¿¡¼­´Â »ý¼º ¹æ¹ýÀÌ ´Ù¸¥ µÎ °¡ÁöÀÇ Ãß»ó ±×·¡ÇÁ¸¦ ÀÌ¿ëÇÏ¿© ¼º´É Æò°¡ ÇÏ¿´´Ù. Ãß»ó ±×·¡ÇÁ´Â »ý¼º ¹æ¹ý¿¡ µû¶ó µ¿ÀÏ Æ¯¼º ³ëµå ÇÕº´À» ÅëÇÑ Ãß»ó ±×·¡ÇÁ(AGH)¿Í ¿¬°á ³ëµå ÇÕº´À» ÅëÇÑ Ãß»ó ±×·¡ÇÁ(AGC)·Î ±¸º°µÈ´Ù. ¼º´É ½ÇÇè °á°ú »ý¼º ºñ¿ë°ú ³ëµå Á¢±Ù ºñ¿ë Ãø¸é¿¡¼­ AGC°¡ ÁÁÀº ¼º´ÉÀ» º¸¿´Áö¸¸, Ž»öµÈ °æ·ÎÀÇ À̵¿½Ã°£ Ãø¸é¿¡¼­´Â AGH°¡ ÁÁÀº ¼º´ÉÀ» º¸¿´´Ù.
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(English Abstract)
Recently, Many studies have been progressing to path-finding adapted dynamic information on the Terminal Based Navigation System(TBNS). The algorithms proposed are based on A algorithm. Path-finding algorithms which use heuristic function may occur a problem of the increase of exploring cost. Path-finding with an abstract graph which expresses real road network as a simple graph is proposed for reducing dependency of heuristic and exploring cost. In this paper, two abstract graph that are different method of construction, Homogeneous Node merging(AGH) and Connected Node Merging(AGC), are implemented. In result of evaluation of performance, AGC has better performance than AGH at construction cost and the number of node access but AGC has worse performance than AGH at exploring cost.
Å°¿öµå(Keyword) µ¿Àû ÈÞ¸®½ºÆ½   Ž»ö ¿µ¿ª °¡ÁöÄ¡±â   A ¾Ë°í¸®Áò   Ãß»ó ±×·¡ÇÁ   Dynamic Heuristic   Pruning Search Space   A Algorithm   Abstract Graph  
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