摘要: 为解决智能交通系统中交通运输网络分析和最短路径问题,提出加权标识S-图最短路径算法。根据Petri网基本原理和加权S-图的特点,给出交通网络加权S-图的网模型。阐述加权标识S-图最短路径的基本原理、求解加权标识S-图的最短路径定理及证明。通过交通运输网络示例和实验对算法进行验证,对比分析算法性能。结果表明,加权标识S-图最短路径算法能够更有效地求解交通网络最短路径。
关键词:
Petri网,
加权标识,
S-图,
网模型,
最短路径
Abstract: In order to solve the intelligent transportation system in transportation network analysis and the shortest path problem, this paper proposes a weighted identification S-graph shortest path algorithm. According to the basic principle and Petri nets weighted S-graph characteristics, it puts forward the weighted S-graph network model. A weighted identification shortest path S-graph basic principle is illustrated, a weighted S-map identifies the shortest path. Through the transportation network of sample and experiment verified, the algorithm is compared and analyzed. Experimental results show that the weighted identification S-graph shortest path algorithm for solving the transport network is an effective method for the shortest path.
Key words:
Petri net,
weighted identification,
S-graph,
net model,
shortest path
中图分类号:
李书举, 李文敬, 王汝凉, 马俊, 刘阿宁. 基于加权标识S-图的最短路径研究[J]. 计算机工程, 2011, 37(15): 46-48.
LI Shu-Ju, LI Wen-Jing, WANG Ru-Liang, MA Dun, LIU A-Ning. Study of Shortest Path Based on Weighted Identification S-graph[J]. Computer Engineering, 2011, 37(15): 46-48.