Publication Detail
Modeling Heterogeneous Traffic Flow: A Pragmatic Approach
UCD-ITS-RP-17-58 Journal Article |
Suggested Citation:
Qian, Zhen Sean, Jia Li, Xiaopeng Li, Michael Zhang, Haizhong Wang (2017) Modeling Heterogeneous Traffic Flow: A Pragmatic Approach. Transportation Research Part B 99, 183 - 204
Modeling dynamics of heterogeneous traffic flow is central to the control and operations of today’s increasingly complex transportation systems. We develop a macroscopic heterogeneous traffic flow model. This model considers interplay of multiple vehicle classes, each of which is assumed to possess homogeneous car-following behavior and vehicle attributes. We propose the concepts of road capacity split and perceived equivalent density for each class to model both lateral and longitudinal cross-class interactions across neighboring cells. Rather than leveraging hydrodynamic analogies, it establishes pragmatic cross-class interaction rules aspired by capacity allocation and approximate inter-cell fluxes. This model generalizes the classical Cell Transmission Model (CTM) to three types of traffic regimes in general, i.e. free flow, semi-congestion, and full congestion regimes. This model replicates prominent empirical characteristics exhibited by mixed vehicular flow, including formation and spatio-temporal propagation of shockwaves, vehicle overtaking, as well as oscillatory waves. Those features are validated against numerical experiments and the NGSIM I-80 data. Realistic class-specific travel times can be computed from this model efficiently, which demonstrates the feasibility of applying this multi-class model to large-scale real-world networks.
Key words: heterogeneous traffic flow, multi-modal, multi-class, LWR, data driven, NGSIM, fundamental diagram
Key words: heterogeneous traffic flow, multi-modal, multi-class, LWR, data driven, NGSIM, fundamental diagram