01557643

Component

This paper investigates interrelations between two-well established theories on the Two-Fluid Model (TFM) and the Macroscopic Fundamental Diagram (MFD), and tries to understand how different monitoring techniques can influence the parameter estimation by utilizing a large data set with more than 20000 probe vehicles from a megacity in China. Characterization of the MFD is being widely used to control traffic congestion in networks, and relies heavily on data from loop detectors. While TFM relies on probe vehicle data to characterize the quality of traffic, and therefore relating the MFD with TFM would provide opportunities to use global positioning system (GPS) data to control traffic with methods similar to those using the MFD. The analysis the data reveals that the assumptions regarding steady-state and ergodicity does not hold in dynamic urban networks with possible bi-modal distributions in the fraction stopped by individual vehicles during a 5 minute analysis period. The authors theoretically and empirically show the existence of a fundamental diagram. Finally, the authors found that with 30% of probe data o the network MFD and the TFM can be reliably estimated.

This paper was sponsored by TRB committee AHB45 Traffic Flow Theory and Characteristics.

01550057

15-4511

English

19p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Global Positioning System; Large cities; Macroscopic traffic flow; Probe vehicles; Traffic data; Traffic models

China

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2015 Paper #15-4511

TRIS, TRB, ATRI

Dec 30 2014 1:29PM