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)|
|Number of pages||8|
|Journal||Transportation Research Record|
|State||Published - Jul 1 1995|
ASJC Scopus subject areas
- Civil and Structural Engineering
- Mechanical Engineering