GeoTNavi - smart navigation using geo-temporal traffic information

被引：3

作者：

Wang, Shawn ^{[1
]}

Barua, Susamma ^{[1
]}

Desai, Kunal ^{[1
]}

Deshmukh, Swaroop ^{[1
]}

机构：

[1] Calif State Univ Fullerton, Dept Comp Sci, POB 6870, Fullerton, CA 92834 USA

来源：

INTERNATIONAL JOURNAL OF DATA MINING MODELLING AND MANAGEMENT | 2013年 / 5卷 / 01期

关键词：

urban commute; navigation; geo-temporal traffic information; data warehousing; data mining;

D O I：

10.1504/IJDMMM.2013.051922

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We introduce a software system GeoTNavi that utilises geo-temporal traffic information in suggesting an optimal route for drivers. GeoTNavi aids the driver in two phases. In the first phase, historical traffic information is studied to reveal patterns on any segment of the highway at a specific day and time. This information is utilised to suggest an optimal route for the driver. In the second phase, the real time traffic information will be used to adjust the optimal route along the way. State-of-the-art data warehousing and data mining techniques are applied to ensure efficiency of the system.

引用

页码：20 / 36

页数：17

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