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Application of Dynamic Path Recommendation Algorithm in Urban Intelligent Transportation Technology

ZHOU Shaojing1a,ZHAO Fabin1b,WANG Min1c,DING Hongwei   

  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

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

CLC Number: