Comparative analysis of traffic state estimation ─ Cumulative counts-based and trajectory-based methods

Tsubota, Takahiro, Bhaskar, Ashish, Nantes, Alfredo, Chung, Edward, & Gayah, Vikash (2015) Comparative analysis of traffic state estimation ─ Cumulative counts-based and trajectory-based methods. In Transport Research Board 94th Annual Meeting Compendium of Papers, Transportation Research Board, Washington, D.C., pp. 43-52.

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Abstract

The Macroscopic Fundamental Diagram (MFD) relates space-mean density and flow. Since the MFD represents the area-wide network traffic performance, studies on perimeter control strategies and network-wide traffic state estimation utilising the MFD concept have been reported. Most previous works have utilised data from fixed sensors, such as inductive loops, to estimate the MFD, which can cause biased estimation in urban networks due to queue spillovers at intersections. To overcome the limitation, recent literature reports the use of trajectory data obtained from probe vehicles. However, these studies have been conducted using simulated datasets; limited works have discussed the limitations of real datasets and their impact on the variable estimation. This study compares two methods for estimating traffic state variables of signalised arterial sections: a method based on cumulative vehicle counts (CUPRITE), and one based on vehicles’ trajectory from taxi Global Positioning System (GPS) log. The comparisons reveal some characteristics of taxi trajectory data available in Brisbane, Australia. The current trajectory data have limitations in quantity (i.e., the penetration rate), due to which the traffic state variables tend to be underestimated. Nevertheless, the trajectory-based method successfully captures the features of traffic states, which suggests that the trajectories from taxis can be a good estimator for the network-wide traffic states.

Impact and interest:

1 citations in Web of Science®
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ID Code: 90506
Item Type: Conference Paper
Refereed: Yes
Keywords: Arterial highways, Global positioning system, Taxicabs, Traffic counts, Vehicle trajectories
DOI: 10.3141/2491-05
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 Transportation Research Board
Deposited On: 20 Nov 2015 02:23
Last Modified: 08 Nov 2016 03:05

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