Multimodal MFD models: General Formulations and Information Propagation
Mahendra Paipuri, Ludovic Leclercq
- Conference
- hEART 2019: 8th Symposium of the European Association for Research in Transportation (2019)
- Publication year
- 2019
Abstract
Traffic state prediction models based on 3D or bi-modal Macroscopic Fundamental Diagram (MFD) is discussed in this work. The well known MFD-based models namely, accumulationbased and trip-based models are extended to the case of multimodal traffic. In addition, accumulation-based with outflow delay, which is studied in the context of link level traffic flow dynamics is investigated. The results from MFD-based models is verified with the solution of continuum space-time model, which is based on hyperbolic conservation equations. It is concluded that accumulation-based model with outflow delay address the limitations of conventional accumulation-based model and trip-based solution is most accurate among all the considered MFD-based models.
How to cite
Mahendra Paipuri; Ludovic Leclercq (2019). Multimodal MFD models: General Formulations and Information Propagation. In: hEART 2019: 8th Symposium of the European Association for Research in Transportation.