Urban Traffic Congestion Prediction Based on Routes Information

被引：13

作者：

Pescaru, Dan ^{[1
]}

机构：

[1] Politehn Univ Timisoara, Dept Comp, Timisoara, Romania

来源：

2013 IEEE 8TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI 2013) | 2013年

关键词：

D O I：

10.1109/SACI.2013.6608952

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Traffic congestion represents an important problem in crowded urban areas. It leads to travel delays, increased fuel consumption and higher level of pollution. This paper proposes a technique for congestion prediction in urban traffic. It uses event based routes selection and relies on information collected by a sensor network. Simulation experiments with more than 50 traffic patterns over eight crowded intersections demonstrate promising results.

引用

页码：121 / 126

页数：6

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