Abstract
Mutli-class traffic flow models account for the heterogeneous characteristics of traffic networks. This leads to higher accuracy when applying them for on-line model-based control. We propose a new multi-class METANET model. The proposed model is an extension of the single-class macroscopic traffic flow model METANET. In the new model, each vehicle class is subject to its own single-class fundamental diagram, and is limited within an assigned space. In this paper, model predictive control is used for on-line traffic control based on the newly proposed model. A case study is implemented for illustrating the efficiency of the new multi-class model. More specifically, the simulation results show that the new multi-class METANET model leads to a better performance than single-class METANET model.
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