Incident parameter estimation
Paper in proceedings, 2013

The paper proposes a sampled data based estimation methodology to reconstruct local incident parameter of the macroscopic Incident Traffic Flow (ITF) models. The key idea in ITF models is to dynamically relax the traffic mean speed to the traffic equilibrium one based of an time and space varying incident term. First, the analysis of incident corrupted traffic flow models, described as an in-homogeneous nonlinear Partial Differential Equation (PDE), is presented in continuous time. Second, space and time discretization techniques are applied to derive traffic management oriented ITF models. Online parameter estimation is suggested to capture the severity of incident throughout the proposed parameter, i.e. to estimate the incident parameter. Numerical example is carried out to show the viability of macroscopic incident parameter estimation technique using data obtained from a high-fidelity microscopic simulation.


acci- dent

hyperbolic conservation laws

incident modeling


Traffic flow models

parameter estimation


Azita Dabiri

Chalmers, Signals and Systems, Systems and control, Automatic Control

Balázs Adam Kulcsár

Chalmers, Signals and Systems, Systems and control, Automatic Control

Proc. of European Control Conference ECC’13, July 17-19, Zurich, Switzerland.


Areas of Advance


Subject Categories

Transport Systems and Logistics

Control Engineering



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