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van Erp, P.B.C. (author), Knoop, V.L. (author), Smits, Erik Sander (author), Tampère, Chris (author), Hoogendoorn, S.P. (author)
Detector data can be used to construct cumulative flow curves, which in turn can be used to estimate the traffic state. However, this approach is subject to the cumulative error problem. Multiple studies propose to mitigate the cumulative error problem using probe trajectory data. These studies often assume “no overtaking” and thus that the...
journal article 2020
document
van Erp, P.B.C. (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)
Traffic flow can be described using three dimensions, i.e., space x, time t and cumulative flow N. This study considers estimating the cumulative flow over space and time, i.e., N(x,t), using relative flow data collected by stationary and moving observers. Stationary observers, e.g., loop-detectors, can observe flow at fixed position over...
journal article 2020
document
Knoop, V.L. (author), Taale, Henk (author), Meulenberg, Michel (author), van Erp, P.B.C. (author), Hoogendoorn, S.P. (author)
Demand exceeding the capacity of a bottleneck will create congestion upstream of that bottleneck. Once this congestion occurs, the maximum flow through this bottleneck decreases (capacity drop). By limiting the flow towards the bottleneck, one can prevent or postpone the capacity drop and the accompanying congestion. In case the bottleneck is...
conference paper 2019
document
Knoop, V.L. (author), van Erp, P.B.C. (author), Leclercq, Ludovic (author), Hoogendoorn, S.P. (author)
<br/>The Macroscopic Fundamental Diagram (MFD) describes the relation between accumulation and speed in a zone. While theoretically expected, empirical validations have been done with limited numbers of floating car (e.g., taxi) data, and loop detectors. This paper will verify existence, shape and crispness of the MFD using Floating Car Data ...
conference paper 2019
document
van Erp, P.B.C. (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)
This article presents a procedure to estimate the macroscopic traffic state in a pre-defined space-time mesh using relative flow data collected by stationary and moving observers. The procedure consist of two consecutive and independent processes: (1) estimate point observations of the cumulative vehicle number in space-time, i.e., N(x, t),...
journal article 2018
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van Erp, P.B.C. (author), Thoen, Sebastiaan (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)
The fundamental diagram (FD) describes the relation between the flow and density in equilibrium conditions. In this paper, we propose an estimation approach to estimate the FD based on data from moving observers. This approach consists of two main steps: (1) estimate flow and density for space-time areas based on trajectories of moving observers...
conference paper 2018
document
van Erp, P.B.C. (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)
In ruwe vorm zijn floating car data rijk en uiterst gedetailleerd. Het punt is alleen dat we om privacyredenen niet met die ruwe data mogen werken – we moeten het doen met geaggregeerde data die door een privacyfilter zijn gehaald. Is daarmee nog enige verkeersmanagement-eer te behalen? Jawel, mits je de FCD slim combineert met bijvoorbeeld...
journal article 2018
document
van Erp, P.B.C. (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)
conference paper 2018
document
van Erp, P.B.C. (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)
Traffic state estimation is a crucial element in traffic management systems and in providing traffic information to road users. In this article, we evaluate traffic sensing data-based estimation error characteristics in macroscopic traffic state estimation. We consider two types of sensing data, that is, loop-detector data and probe speed...
journal article 2017
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