[1]陈亮,何为,韩力群.城市交通最优路径算法[J].智能系统学报,2012,7(02):167-173.
 CHEN Liang,HE Wei,HAN Liqun.Study on an urban transportation optimal path algorithm[J].CAAI Transactions on Intelligent Systems,2012,7(02):167-173.
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第7卷
期数:
2012年02期
页码:
167-173
栏目:
出版日期:
2012-04-25

文章信息/Info

Title:
Study on an urban transportation optimal path algorithm
文章编号:
1673-4785(2012)02-0167-07
作者:
陈亮何为韩力群
北京工商大学 计算机与信息工程学院,北京 100048
Author(s):
CHEN Liang HE Wei HAN Liqun
College of Computer and Information Engineering, Beijing Commercial and Industrial University, Beijing 100048, China
关键词:
智能交通图论行车路线算法优化RBF神经网络最优路径
Keywords:
intelligent transportation graph theory routing algorithm optimization optinal path
分类号:
TP391.4
文献标志码:
A
摘要:
城市智能交通系统中,最优路径算法及其优化是研究热点之一,是整个交通系统较为核心的部分.结合图论中最短路径算法,研究了城市交通可达路径算法,并对其进行了有效优化.通过图论中的路径代价函数,提出了城市最优路径算法,在此基础上,通过优化搜索区域、可达路径的搜索方向以及路网分层搜索等优化策略,达到了优化城市最优路径算法的目的,提出的城市最优路径及其优化算法能够给出行者提供多条参考的时间最优路线,方便出行者选择.通过算法的应用实例,验证了城市最优路径及其优化算法的有效性与实时性.
Abstract:
In urban intelligent transportation systems, the optimal path algorithm and its optimization are hot topic and the core of the whole transportation system. By introducing the shortest path algorithm in graph theory, this paper first researched the accessible paths for the urban transportation along with an optimization algorithm. Next, by using the path cost function, an optimal path algorithm for urban transportation was proposed. On this basis, by optimizing the search area, the search direction for accessible paths, and the road network hierarchical search optimization strategy, the goal of optimizing urban paths was attained. The proposed optimal urban path and its optimization algorithm were able to provide several timeoptimal pedestrian paths for references. Through practical applications, the validity and realtime characteristics of the proposed urban optimal path and its optimization algorithm were verified. 

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备注/Memo

备注/Memo:
收稿日期:2011-11-22.
网络出版日期:2012-04-16.
 通信作者:陈亮.                E-mail:newboy_01@163.com.
作者简介:
陈亮,男,1986年生,硕士研究生,主要研究方向为人工神经网络、智能交通.
何为,男,1953年生,高级工程师,IEEE 会员,中国人工智能学会理事,中国人工智能学会智能产品与产业工作委员会秘书长.主要研究方向为非电量检测技术、计算机测控技术、嵌入式技术应用,主持或参加国家科技攻关、火炬计划、省部级、横向等各类科研项目30余项,获国家发明专利3项,发表学术论文30余篇.
韩力群,女,1953年生,教授,中国人工智能学会副理事长,主要研究方向为智能信息处理与图像工程,主持各类科研课题30余项,获国家发明专利3项、北京发明创新大赛银奖1项,发表学术论文120余篇,出版著作10部.
更新日期/Last Update: 2012-07-12