Dynamic traffic prediction for insufficient data roadways via automatic control theories
Resource
Control Engineering Practice, 19(12), 1479-1489
Journal
Control Engineering Practice
Pages
1479-1489
Date Issued
2011-12
Date
2011-12
Author(s)
Chang, Tang-Hsien
Chueh, Chia-Hung
Yang, Li-Kai
Abstract
This study aims to propose an algorithm for traffic estimation, particularly for urban roadway sections with insufficient data sources. Establishing an advanced traffic management system (ATMS) heavily depends on obtaining complete data. In this regard, traffic detectors play an important role in data acquisition. However, installing traffic detectors extensively over a metropolitan area can be rather expensive. As such, in most cities around the world, vehicle detectors for traffic data collection are relatively insufficient to meet requirements. In light of this, the current research therefore proposes a feasible algorithm of dynamic section flow prediction based on the automatic control theory and observer design for roadway sections with insufficient data sources. According to the numerical evaluation, the method is found to be satisfactory and acceptable in practice.
Subjects
Traffic prediction
Automatic control theory
Observer design
Dynamic section flow estimation
Insufficient data source
SDGs
Type
journal article
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