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Ａｐｐｌｉｃａｔｉｏｎ　ｏｆ　Ｄｙｎａｍｉｃ　Ｐａｔｈ　Ｒｅｃｏｍｍｅｎｄａｔｉｏｎ　Ａｌｇｏｒｉｔｈｍ　ｉｎ　Ｕｒｂａｎ　Ｉｎｔｅｌｌｉｇｅｎｔ　Ｔｒａｎｓｐｏｒｔａｔｉｏｎ　Ｔｅｃｈｎｏｌｏｇｙ

ＺＨＯＵ Ｓｈａｏｊｉｎｇ１ａ，ＺＨＡＯ Ｆａｂｉｎ１ｂ，ＷＡＮＧ Ｍｉｎ１ｃ，ＤＩＮＧ Ｈｏｎｇｗｅｉ２   

  1. １．ａ．Ｆａｃｕｌｔｙ　ｏｆ　Ｃｏｍｐｕｔｅｒ　ａｎｄ　Ｉｎｆｏｒｍａｔｉｏｎ；ｂ．Ｓｃｉｅｎｃｅ　Ｒｅｓｅａｒｃｈ　Ｄｅｐａｒｔｍｅｎｔ；ｃ．Ｆａｃｕｔｙ　ｏｆ　Ｇｅｎｅｒａｌ　Ｓｔｕｄｉｅｓ　ａｎｄ　Ｑｕａｌｉｔｙ　Ｅｄｕｃａｔｉｏｎ，Ｋｕｎｍｉｎｇ　Ｍｅｔａｌｌｕｒｇｙ　Ｃｏｌｌｅｇｅ，Ｋｕｎｍｉｎｇ　６５００３３，Ｃｈｉｎａ；２．Ｓｃｈｏｏｌ　ｏｆ　Ｉｎｆｏｒｍａｔｉｏｎ　Ｓｃｉｅｎｃｅ＆Ｅｎｇｉｎｅｅｒｉｎｇ，Ｙｕｎｎａｎ　Ｕｎｉｖｅｒｓｉｔｙ，Ｋｕｎｍｉｎｇ　６５０５００，Ｃｈｉｎａ
  • Received:2019-09-26 Online:2019-10-31 Published:2019-10-31

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Abstract: Ｉｎ　ｒｅｃｅｎｔ　ｙｅａｒｓ，ｔｈｅ　ｐｒｏｂｌｅｍ　ｏｆ　ｕｒｂａｎ　ｔｒａｆｆｉｃ　ｈａｓ　ｂｅｅｎ　ｗｉｄｅｌｙ　ｃｏｎｃｅｒｎｅｄ　ｂｙ　ｔｈｅ　ｓｏｃｉｅｔｙ．Ｔｈｅ　ｉｎｃｒｅａｓｉｎｇ　ｎｕｍｂｅｒ　ｏｆ　ｃａｒｓ　ｍａｋｅｓ　ｔｈｅ　ｐｒｅｓｓｕｒｅ　ｏｆ　ｕｒｂａｎ　ｔｒａｆｆｉｃ　ｍｏｒｅ　ａｎｄ　ｍｏｒｅ　ｐｒｏｍｉｎｅｎｔ．Ｅｓｐｅｃｉａｌｌｙ　ｉｎ　ｓｏｍｅ　ｌａｒｇｅ　ａｎｄ　ｍｅｄｉｕｍ－ｓｉｚｅｄ　ｃｉｔｉｅｓ，ｔｈｅ　ｕｎｕｓｕａｌｌｙ　ｈｅａｖｙ　ｔｒａｆｆｉｃ　ｈａｓ　ｃａｕｓｅｄ　ｇｒｅａｔ　ｔｒｏｕｂｌｅ　ｔｏ　ｐｅｏｐｌｅ＇ｓ　ｄａｉｌｙ　ｔｒａｖｅｌ．Ｔｈｉｓ　ｐａｐｅｒ　ｍａｉｎｌｙ　ｄｉｓｃｕｓｓｅｓ　ｔｈｅ　ｉｎｔｒｏｄｕｃｔｉｏｎ　ｏｆ　ｔｈｅ　ｄｙｎａｍｉｃ　ｐａｔｈ　ａｌｇｏｒｉｔｈｍ　 ｉｎ　ａｄｄｒｅｓｓｉｎｇ　ｔｈｅ　ｐｒｏｂｌｅｍ　ａｎｄ　ｉｔｓ　ｉｍｐａｃｔ　ｏｎ　ｕｒｂａｎ　ｔｒａｆｆｉｃ．Ｔｈｒｏｕｇｈ　ｔｈｅ　ｓｉｍｕｌａｔｉｏｎ　ｅｘｐｅｒｉｍｅｎｔ，ｔｈｅ　ｕｒｂａｎ　ｔｒａｆｆｉｃ　ｃｏｎｄｉｔｉｏｎ　ｐｒｅｄｉｃｔｉｏｎ　ｍｏｄｅｌ　ｅｘｈｉｂｉｔｓ　ｂｅｔｔｅｒ　ｐｅｒｆｏｒｍａｎｃｅ　ｔｈａｎ　ｔｈｅ　ｔｒａｄｉｔｉｏｎａｌ　ｍｏｄｅｌ．Ｔｈｅ　ｄｙｎａｍｉｃ　ｐａｔｈ　ｒｅｃｏｍｍｅｎｄａｔｉｏｎａｌ　ｇｏｒｉｔｈｍ　ｃａｎ　ｓａｖｅ　ｔｒａｖｅｌ　ｔｉｍｅ　ｌａｒｇｅｌｙ．Ｗｅ　ｃａｎ　ｖｅｒｉｆｙ　ｔｈｅ　ｅｆｆｅｃｔｉｖｅｎｅｓｓ　ｏｆ　ｔｈｅ　ａｌｇｏｒｉｔｈｍ　ａｎｄ　ｍｏｄｅｌ　ｗｈｅｎ　ｔｈｅ　ｇｒｉｄ　ｓｉｚｅ　ｉｓ　ｏｆ　２０×２０　ｃａｓｅｓ　ｗｉｔｈ　ｃｏｎｓｔａｎｔ　ｓａｖｉｎｇ　ｒａｔｅ．

Key words: ａｒｔｉｆｉｃｉａｌ　ｉｎｔｅｌｌｉｇｅｎｃｅ, ｕｒｂａｎ　ｓｍａｒｔ　ｔｒａｎｓｐｏｒｔａｔｉｏｎ, ｄｒｉｖｉｎｇ　ｄｅｃｉｓｉｏｎ　ｍｏｄｅｌ, ｄｙｎａｍｉｃ　ｐａｔｈ　ｒｅｃｏｍｍｅｎｄａｔｉｏｎ　ａｌｇｏｒｉｔｈｍｓ

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