动态路径推荐算法在城市智慧交通技术中的应用  

Application of Dynamic Path Recommendation Algorithm in Urban Intelligent Transportation Technology

作　　者：周绍景[1] 赵发宾[2] 王敏[3] 丁洪伟[4] ZHOU Shaojing;ZHAO Fabin;WANG Min;DING Hongwei(Faculty of Computer and Information,Kunming Metallurgy College,Kunming 650033,China;Science Research Department,Kunming Metallurgy College,Kunming 650033,China;Facuty of General Studies and Quality Education,Kunming Metallurgy College,Kunming 650033,China;School of Information Science&Engineering,Yunnan University,Kunming 650500,China)

机构地区：[1]昆明冶金高等专科学校计算机信息学院,云南昆明650033 [2]昆明冶金高等专科学校科技处,云南昆明650033 [3]昆明冶金高等专科学校通识与素质教育学院,云南昆明650033 [4]云南大学信息学院,云南昆明653000

出　　处：《昆明冶金高等专科学校学报》2019年第5期71-77,共7页Journal of Kunming Metallurgy College

基　　金：国家自然科学基金项目:融合式多址通信网络理论与控制协议研究(61461053)

摘　　要：近年来,城市异常拥堵的交通已对人们的日常出行造成了很大困扰,这一现实情况为人工智能技术在智能交通领域当中的应用提供了良好的契机。主要探讨引入动态路径算法,对城市交通带来的影响,通过仿真实验得知,城市交通状况预测模型表现相对传统模型更加优秀,再利用动态路径推荐算法可以最大程度节约行驶时间,而且在20×20的栅格粒度情况下,节约率恒定,这样可以证实算法和模型的有效性。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 recommendation algorithm 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.

关 键 词：人工智能 城市智慧交通 驾驶决策模型 动态路径推荐算法 

分 类 号：TP520.20[自动化与计算机技术]