Abstract

BackgroundThis paper compares a hybrid traffic flow model with benchmark macroscopic and microscopic models. The proposed hybrid traffic flow model may be applied considering a mixed traffic flow and is based on the combination of the macroscopic cell transmission model and the microscopic cellular automata.Modelled variablesThe hybrid model is compared against three microscopic models, namely the Krauß model, the intelligent driver model and the cellular automata, and against two macroscopic models, the Cell Transmission Model and the Cell Transmission Model with dispersion, respectively. To this end, three main applications were considered: (i) a link with a signalised junction at the end, (ii) a signalised artery, and (iii) a grid network with signalised junctions.ResultsThe numerical simulations show that the model provides acceptable results. Especially in terms of travel times, it has similar behaviour to the microscopic model. By contrast, it produces lower values of queue propagation than microscopic models (intrinsically dominated by stochastic phenomena), which are closer to the values shown by the enhanced macroscopic cell transmission model and the cell transmission model with dispersion. The validation of the model regards the analysis of the wave propagation at the boundary region.

Highlights

  • This paper compares a hybrid traffic flow model with benchmark macroscopic and microscopic models

  • In terms of travel times, it has similar behaviour to the microscopic model. It produces lower values of queue propagation than microscopic models, which are closer to the values shown by the enhanced macroscopic cell transmission model and the cell transmission model with dispersion

  • This paper aims to compare a proposed hybrid traffic flow model

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Summary

Introduction

This paper compares a hybrid traffic flow model with benchmark macroscopic and microscopic models. Modelled variables: The hybrid model is compared against three microscopic models, namely the Krauß model, the intelligent driver model and the cellular automata, and against two macroscopic models, the Cell Transmission Model and the Cell Transmission Model with dispersion, respectively To this end, three main applications were considered: (i) a link with a signalised junction at the end, (ii) a signalised artery, and (iii) a grid network with signalised junctions. More in general the macroscopic models are based on aggregate variables representing user behaviour as flows, density, and aggregate variables describing supply, such as speed. They can be classified in accordance with the literature depending on the continuous or discrete. Consistent with simplified first-order kinematic wave theory after Newell, Yperman [11] proposed the link transmission model (LTM) in which link volumes and link travel times are obtained starting from cumulative vehicle numbers

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