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Microscopic Randomness and “Fundamental Diagram” in the Traffic Flow Problem

2000
Starting from a continuous follow-the-leader model for individual vehicle motion a stochastic term is added in order to account for the elementary randomness of driving. In a suitably defined stationary state thus an equilibrium distribution of nearest-neighbour distances is spanned up which allows to understand the “fundamental diagram” of macroscopic
openaire   +1 more source

Microscopic Parameters and Macroscopic Features of Traffic Flow

2003
A major task of traffic modelling is to investigate how traffic parameters on the microscopic scale, such as reaction time and inertia, influence the macroscopic flow phenomena. In this article, we present a transformation that relates microscopic car-following models to their macroscopic continuum counterpart. For a specific type, the optimal-velocity
Peter Berg, Eddie Wilson
openaire   +1 more source

Relationship between microscopic dynamics in traffic flow and complexity in networks

Physical Review E, 2007
Complex networks are constructed in the evolution process of traffic flow, and the states of traffic flow are represented by nodes in the network. The traffic dynamics can then be studied by investigating the statistical properties of those networks.
Xin-Gang, Li   +3 more
openaire   +2 more sources

Microscopic state evolution model of mixed traffic flow based on potential field theory

Physica A: Statistical Mechanics and Its Applications, 2022
Zhijun Chen, linheng Li, Xu Qu
exaly  

3-step calibration process of a microscopic traffic flow simulation platform for mixed traffic scenarios

Transportation Research Procedia, 2023
Martin Fellendorf, Alexander Brandenburg
exaly  

A framework for the calibration of microscopic traffic flow models

2007
In view of the widespread use of microscopic traffic simulation models in common practice an ever more attention on their calibration related issues is bearing. These models, indeed, depend on many parameters, and the value chosen per each of them can sensibly affect model output realism.
CIUFFO, Biagio   +2 more
openaire   +1 more source

Microscopic - Macroscopic Traffic Flow Modeling

2021
Khelifi, Asma   +2 more
openaire   +1 more source

A Density-Based and Lane-Free Microscopic Traffic Flow Model Applied to Unmanned Aerial Vehicles

Drones, 2021
Raouf Boutaba   +2 more
exaly  

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