Probe Vehicle-based Traffic Flow Estimation Method without Fundamental Diagram

Derivation of a Fundamental Diagram for Urban Traffic Flow

Despite the importance of urban traffic flows, there are only a few theoretical approaches to determine fundamental relationships between macroscopic traffic variables such as the traffic density, the utilization, the average velocity, and the travel time. In the past, empirical measurements have primarily been described by fit functions. Here, we derive expected fundamental relationships from ...

Stochastic Fundamental Diagram for Probabilistic Traffic Flow Modeling

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Performance Comparison of Gps-probe-vehicle Based Methods in Urban Traffic State Estimation

Global Positioning System (GPS)-equipped probe vehicles have been one of the principal techniques in detection of traffic flow. In order to guide the application of the different methods using data from GPS probe vehicles, this paper compares two of the most popular methods using the GPS data to estimate traffic statethe method of tracking probe vehicles, and the one of fitting the model with t...

75 Years of the Fundamental Diagram for Traffic Flow Theory: Greenshields Symposium

Fundamental Diagram of Traffic Flow New Identification Scheme and Further Evidence from Empirical Data

This paper further investigates the specification and calibration of FDs. The purpose is to provide a consistent, systematic, and adaptive way to obtain FDs from single-loop detector measurements. In particular, the piecewise linear form is adopted for the FD, because (a) more-complex forms of the FD can be approximated by a piecewise linear form with arbitrarily many pieces, and (b) empirical ...