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Çѱ¹µµ·ÎÇÐȸ / v.13, no.2, 2011³â, pp.175-185
GPS/INS ¼¾¼­ ÀڷḦ ÀÌ¿ëÇÑ µµ·Î Æò¸é¼±ÇüÀÎ½Ä ¾Ë°í¸®Áò °³¹ß
( Algorithm for Identifying Highway Horizontal Alignment using GPS/INS Sensor Data )
Á¤Àººñ;ÁÖ½ÅÇý;¿Àö;À±´ö±Ù;¹ÚÀçÈ«; ÇѾç´ëÇб³ ±³Åë°øÇаú;ÇѾç´ëÇб³ ±³Åë°øÇаú;ÇѾç´ëÇб³ ±³Åë°øÇаú;Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø µµ·Î¿¬±¸½Ç;Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø µµ·Î¿¬±¸½Ç;
 
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µµ·Î±âÇϱ¸Á¶Á¤º¸´Â µµ·ÎÀÇ ¾ÈÀü¼ºÆò°¡ ¹× µµ·ÎÀÇ À¯Áö°ü¸®¸¦ À§ÇÑ ÇʼöÀûÀÎ ¿ä¼ÒÀÌ´Ù. º» ¿¬±¸¿¡¼­´Â GPS(Global Positioning System)/INS(Inertial Navigation System)¼¾¼­°¡ žÀçµÈ Á¶»çÂ÷·®À» ÀÌ¿ëÇÏ¿© ±âÇϱ¸Á¶Á¤º¸¸¦ ¼öÁýÇÏ¿´À¸¸ç, ¼öÁýµÈ Â÷·®ÀÇ ÀÚ¼¼Á¤º¸ Áß Æò¸é¼±Çü°ú °ü·ÃµÈ Roll, Heading ÀڷḦ ÀÌ¿ëÇÏ¿© Á÷¼±, ¿ø°î¼±, ¿ÏÈ­°î¼±À» ±¸ºÐÇÏ´Â ¾Ë°í¸®ÁòÀ» °³¹ßÇÏ¿´´Ù. º» ¿¬±¸¿¡¼­´Â Æò¸é¼±Çü ÀÎ½Ä ÀÌÀü¿¡ Àüó¸® °úÁ¤À¸·Î À̵¿Æò±Õ¹ýÀ» ÅëÇÏ¿© ÀڷḦ ÆòȰȭÇÔÀ¸·Î½á ¿ø½ÃÀÚ·áÀÇ ÀÌ»óÄ¡¸¦ Á¦°ÅÇÏ¿© Æò¸é¼±Çü ÀνÄÀÇ ½Å·Ú¼ºÀ» Á¦°íÇÏ¿´´Ù. À¯Àü¾Ë°í¸®Áò(GA, Genetic Algorithm)À» ÀÌ¿ëÇÏ¿© ºÐ·ùÁ¤È®µµ(CCR, Correct Classification Rate)¸¦ ÃÖ´ë·Î ÇÏ´Â ¾Ë°í¸®Áò ÆÄ¶ó¹ÌÅ͸¦ ¼³Á¤ÇÑ °á°ú 100%ÀÇ ºÐ·ùÁ¤È®µµ¸¦ º¸¿´´Ù. ¼³Á¤µÈ ÆÄ¶ó¹ÌÅ͸¦ ÀÌ¿ëÇÏ¿© °í¼Óµµ·Î¿Í ±¹µµ ÁÖÇàÀڷḦ ÀÌ¿ëÇÏ¿© ¾Ë°í¸®ÁòÀ» Æò°¡ÇÑ °á°ú 90.48%¿Í 88.24%ÀÇ ºÐ·ùÁ¤È®µµ¸¦ º¸¿©, Á¦¾ÈµÈ Æò¸é¼±ÇüÀÎ½Ä ¾Ë°í¸®ÁòÀº ÇöÀå¿¡¼­ Àû¿ë ½Ã ³ôÀº ½Å·Úµµ¸¦ °¡Áö´Â Á¤º¸¸¦ Á¦°ø °¡´ÉÇÑ °ÍÀ¸·Î ºÐ¼®µÇ¾ú´Ù. º» ¿¬±¸¿¡¼­ °³¹ßÇÑ Æò¸é¼±ÇüÀÎ½Ä ¾Ë°í¸®ÁòÀº Á¶»çÂ÷·®¿¡ GPS/INS¼¾¼­ÀÇ ¼ÒÇÁÆ®¿þ¾î·Î žÀçµÇ¾î µµ·Î ¹× ±³Åë±â¼úÀÚ¿¡°Ô µµ·Î±âÇϱ¸Á¶Á¤º¸¸¦ º¸´Ù ¿ëÀÌÇÏ°Ô ¼öÁýÇÏ°í ºÐ¼®ÇÒ ¼ö Àִ ȯ°æÀ» Á¦°øÇϴµ¥ ±â¿©ÇÒ °ÍÀ¸·Î ±â´ëµÈ´Ù.
Geometric information is a key element for evaluating traffic safety and road maintenance. This study developed an algorithm to identify horizontal alignment using global positioning system(GPS) and inertial navigation system(INS) data. Roll and heading information extracted from GPS/INS were utilized to classify horizontal alignment into tangent, circular curve, and transition curve. The proposed algorithm consists of two components including smoothing for eliminating outlier and a heuristic classification algorithm. A genetic algorithm(GA) was adopted to calibrate parameters associated with the algorithm. Both freeway and rural highway data were used to evaluate the performance of the proposed algorithm. Promising results, which 90.48% and 88.24% of classification accuracy were obtainable for freeway and rural highway respectively, demonstrated the technical feasibility of the algorithm for the implementation.
 
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Æò¸é¼±ÇüÀνÄ;GPS/INS¼¾¼­;À¯Àü¾Ë°í¸®Áò;ÀÚ¼¼Á¤º¸;À̵¿Æò±Õ¹ý;horizontal alignment;GPS/INS sensor;genetic algorithm;attitude information;moving average;
 
Çѱ¹µµ·ÎÇÐȸ³í¹®Áý / v.13, no.2, 2011³â, pp.175-185
Çѱ¹µµ·ÎÇÐȸ
ISSN : 1738-7159
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO201121559393428)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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