Abstract

ABSTRACTThe fundamental diagram of a road, including free-flow capacity and queue discharge rate, is very important for traffic engineering purposes. In the real word, most traffic measurements come from stationary loop detectors. This paper proposes a method to fit Wu's fundamental diagram to loop detector data. Wu's fundamental diagram is characterised by five parameters, being free-flow speed, wave speed, free-flow capacity, queue discharge rate and jam density. The proposed method entails fixing the wave speed and the free-flow speed. The method consists of two steps. We first use a triangular fundamental diagram to separate the congested branch from the free-flow branch. Then, the remaining three parameters of Wu's fundamental diagram are fitted on each branch using a least-square fit. This method is shown to be robust for cases tested in real life, and hence very noisy, data.

Highlights

  • In traffic flow theory the fundamental diagram is an essential concept

  • We first use a triangular fundamental diagram to separate the congested branch from the free flow branch

  • The main innovation of the method proposed in this paper is that we first use a triangular fundamental diagram to separate the congested branch from the free flow branch

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Summary

Introduction

In traffic flow theory the fundamental diagram is an essential concept. The fundamental diagram relates two of the three variables average speed (v), flow (q) and density (k) to each other. Many papers have been written on the shape of the fundamental diagram (see section 2.1), it is remarkable how much spread is present if one plots observed flows versus observed densities This spread can have different causes, for instance:. Use loop detector data from freeways, with the above-mentioned problems If they want to apply theoretical concepts, such as shock wave theory or the method of characteristics, they need to have a fundamental diagram. The parameters of the fundamental diagram should be calibrated for the observed road, as each road has its own characteristics, leading to a unique fundamental diagram Traffic control measures, such as ramp metering (Papamichail et al 2010) or main lane metering (Carlson et al 2010) are exploiting the capacity drop, i.e. the difference between free flow capacity and the queue discharge rate.

Shapes of the fundamental diagram
Wu’s fundamental diagram
Fitting a fundamental diagram to data
Experimental setup
Influencing elements in fitting a fundamental diagram
Fixing parameters
Type of data in relation to speed averaging
Real world data or simulation data
Analyses
Simulation setup
Experimental data
Fitting methodology
Performance measures and optimization
Weight of data points
Fitting a triangular fundamental diagram
Fitting Wu’s fundamental diagram
Simulation results
Edie’s definitions
Fix various parameters
Effect of the speed averaging
Applying the method to empirical data
Findings
Conclusions

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