Reasoning-Predicting Model Based On Strong Relevant Logic In Road Traffic Forecasting

被引：0

作者：

Li, Dancheng ^{[1
]}

Liu, Zhiliang ^{[1
]}

Liu, Cheng ^{[1
]}

Liu, Binsbeng ^{[1
]}

Zhang, Wei ^{[1
]}

机构：

[1] Northeastern Univ, Software Coll, Shenyang, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL III | 2010年

关键词：

intelligent transportation system; traffic forecasting; strong relevant logic; reason;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The performance of many components in intelligent transportation systems depends heavily on the quality of traffic forecasting. After analyzing the deficiency of existing algorithm and methods in traffic forecasting, we develop a new traffic forecasting model based on logic reasoning and in this paper, we describe the details of each part of this model. Finally through an example, we introduce the working order of the model in traffic forecasting.

引用

页码：87 / 89

页数：3

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