Advanced Predictive Methods of Artificial Intelligence in Intelligent Transport Systems

被引：1

作者：

Lendel, Viliam ^{[1
]}

Pancikova, Lucia ^{[1
]}

Falat, Lukas ^{[1
]}

机构：

[1] Univ Zilina, Fac Management Sci & Informat, Univ 8215-1, Zilina 01026, Slovakia

来源：

DATA MINING AND BIG DATA, DMBD 2016 | 2016年 / 9714卷

关键词：

Artificial intelligence; Support vector machines; Support vector regression; Intelligent transport system; Statistical methods; Open source; R; FINANCIAL TIME-SERIES; SUPPORT;

D O I：

10.1007/978-3-319-40973-3_16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Today, more and more, researchers have been trying to apply artificial intelligence (AI) into the area of transport. Using these methods, they try to solve difficult and complex transport problems and improve the efficiency, safety, and environmental-compatibility of transport systems. The main goal of this paper is to present how artificial intelligence can be applied in the area of traffic and transport with less time and money. The paper itself deals with the application of artificial intelligence method (i.e. support vector regression) for time series forecasting in terms of intelligent transport systems.

引用

页码：165 / 174

页数：10

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