Abstract
The problem of predicting traffic flow for the purpose of real-time traffic-adaptive signal control in an urban street network is explored. A prediction model is described that combines data from traditional vehicle loop detectors and known relationships from traffic flow theory. The model is demonstrated using a microscopic traffic simulation model. Results of the simulation demonstrate that the model can provide the information required to develop truly proactive real-time traffic-adaptive signal control.
Original language | English (US) |
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Pages (from-to) | 45-52 |
Number of pages | 8 |
Journal | Transportation Research Record |
Issue number | 1510 |
State | Published - Jul 1995 |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Mechanical Engineering