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| 智能交通系统中路况信息的编码 | |
| 引用本文： | 师延山,王珂,范跃祖.智能交通系统中路况信息的编码[J].北京航空航天大学学报,2000,26(3):303-306. |
| 作者姓名： | 师延山 王珂 范跃祖 |
| 作者单位： | 1. 北京航空航天大学,自动控制系 2. 吉林工业大学,电子工程系 |
| 基金项目： | 国家高技术研究发展计划(863计划) |
| 摘 要： | 根据提出的一种交通量生成模型所产生的仿真数据,对城市交通中路况信息数据流的信源编码进行了研究. 压缩数据的方法是对初始信源等效变换,使变换后等效信源的概率分布比原信源更加有序,熵值更小,从而压缩率更高. 传输时还要对等效信源使用霍夫曼(Huffman)算法编出即时可译码,使该变长码的平均码长接近熵值. 给出的编码方案可用于智能交通系统(ITS)的车辆导航中对路况信息的传输. |
| 关 键 词： | 信源编码 压缩比 交通流量 智能交通系统 |
| 收稿时间： | 1998-11-25 |
| 修稿时间： | : |
Research on Coding of Road Information in ITS |
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| SHI Yan-shan,WANG Ke,FAN Yue-zu.Research on Coding of Road Information in ITS[J].Journal of Beijing University of Aeronautics and Astronautics,2000,26(3):303-306. | |
| Authors: | SHI Yan-shan WANG Ke FAN Yue-zu |
| Institution: | 1. Beijing University of Aeronautics and Astronautics,Dept. of Automatic Control; 2. Jilin University of Technology, Dept. of Electronic Engineering |
| Abstract: | The code of road information is analyzed, based on the data provided by a model of the traffic volume. The method to compress data is equivalent conversion of the initial source, so the probability distribution of the equivalent conversed source becomes more sequential with less entropy value and greater compression ratio than those of initial one. When being transmitted, the instantaneously decodable code could be coded via huffman algorithm in order that the average length of variable length prefix code (VLPC) is closed to the entropy value of the source. The result shows that the correlation of traffic volume at a cross is more than that in a street as well as in whole a city. Its achievements can be applied in ITS to communicate the road information. |
| Keywords: | source coding compression ratio traffic flow intelligent transport systems |
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