Traffic flow forecasting in real world

被引：0

作者：

Arenas, M. G. ^{[1
]}

Rico, N. ^{[1
]}

Rivas, V. M. ^{[1
]}

Castillo, Pedro ^{[1
]}

Fernandez-Ares, A. ^{[1
]}

Garcia-Fernandez, P. ^{[1
]}

Garcia-Sanchez, P. ^{[1
]}

Mora, A. M. ^{[1
]}

Asensio, J. J. ^{[1
]}

Romero, G. ^{[1
]}

Merelo, J. J. ^{[1
]}

机构：

[1] Univ Granada, E-18071 Granada, Spain

来源：

INTERNATIONAL WORK-CONFERENCE ON TIME SERIES (ITISE 2014) | 2014年

关键词：

Traffic flow forecasting; Bluetooth technology;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Current systems for collecting road traffic data are unable to identify the vehicles, they can just count vehicles. Besides, their installation cost is so high that they are only present in the main roads. Several research groups are working on traffic-related problems, such as developing accurate monitoring tools, obtaining reliable data and traffic forecasting. In this work, a low-cost information system for the real-time traffic flow monitoring is presented, and using gathered data for traffic forecasting is proposed. Traffic flow forecasting has been carried out using several tools. Obtained results have been compared to determine which method is better for this real world problem. The results point to the SVM methods as better option for forecasting real traffic flow.

引用

页码：1436 / 1445

页数：10

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