Abstract:
Most of the existing models for large scale arterial networks are not realistic and appropriate to deal with crowded conditions. As an alternative, we propose observation-based models that circumvent the fragility problems of traditional models. Monitoring replaces prediction, and the system is repeatedly modified based on observations. To succeed this goal a city is modeled in an aggregated manner and relations between state variables are developed. Macroscopic control strategies are introduced which rely on real-time observation of relevant spatially aggregated measures of traffic performance. The proposed ideas are tested by simulation, while field experiments are in progress.
Publication date:
January 1, 2007
Publication type:
Conference Paper
Citation:
Geroliminis, N., & Daganzo, C. F. (2007). Macroscopic Modeling of Traffic in Cities (07–0413). Article 07–0413. Transportation Research Board 86th Annual MeetingTransportation Research Board. https://trid.trb.org/View/801089