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Asymptotic properties of (traffic) particle systems. Analysis of vehicular headways. Finished 2020

MATLAB 100.00%
central-limit-theorem linear-regression particle-systems vehicular-networks counting-process

vehicular-headway-modelling's Introduction

Vehicular Headway Modelling Research (Bachelor's thesis)

This thesis deals with particle systems with a balancing property which have practical use in modeling vehicle headways. The full paper is available here: Full paper (2nd place at scientific conference in 2020).

  • First, we summarized basic properties of balanced density functions and associated particle systems.
  • We presented a unification procedure that is used for analysing traffic data and by applying this procedure to real data (recorded at a Dutch freeway) we verified, using methods of regression analysis, the balancing property of time clearances.
  • Further, we rigorously defined statistical rigidity and via the central limit theorem we derived the dependency of statistical compressibility on parametres belonging tu Erlang’s density function.
  • At last, we showed by graphs that the behaviour of statistical rigidity in well-known balanced particle systems is in accordance with previous derivations.

Theory of Balanced Particle Systems

Highway Model

Fundamental diagram and 3-s Unification procedure for traffic data analysis

T intersection Model

Real traffic data analysis

T intersection Model

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