Measurement and analysis of traffic in IP networks are of great interest for network operators as they provide important information about the utilization of network resources, the user behavior, as well as the deployed applications and services. In particular, flow-level traffic measurements have become more and more ubiquitous in the past years. In this context, a flow is defined as a stream ...

Nowadays traffic flow and congestion is one of the main societal and economical problems related to transportation in industrialised countries. In this respect, managing traffic in congested networks requires a clear understanding of traffic flow operations. That is, insights into what causes congestion, what determines the time and location of traffic breakdown, how does the congestion propaga...

In this paper, we introduce the theoretical foundations of FRIEND: A cyber-physical system for traffic FlowRelated Information aggrEgatioN and Dissemination. By integrating resources and capabilities at the nexus between the cyber and physical worlds, FRIEND will contribute to aggregating traffic flow data collected by the huge fleet of vehicles on our roads into a comprehensive, near real-time...

Lane changing can increase or impede the flow of vehicular traffic, depending on traffic density and the lane-changing strategies used by individual drivers. We implement and extend the Nagel-Schreckenberg (N-S) traffic model as an agent-based model to investigate lane-changing behavior on a multi-lane roadway, with the goal of determining which lane changing strategies result in the greatest o...

As a typical self-driven many-particle system far from equilibrium, traffic flow exhibits diverse fascinating non-equilibrium phenomena, most of which are closely related to traffic flow stability and specifically the growth/dissipation pattern of disturbances. However, the traffic theories have been controversial due to a lack of precise traffic data. We have studied traffic flow from a new pe...

This article studies the usefulness of parallel processing in real-time traffic-flow simulation based on continuum modeling of traffic dynamics. Computational fluid dynamics (CFD’s) methods for solving simple macroscopic traffic-flow continuum models have been studied and efficiently implemented in traffic simulation codes (on serial computers) in the past. We designed a traffic-flow simulation...

In this study, we propose a Lagrangian model for the simulation of traffic flow on a complex road network. This simple approach is quite efficient if adequate road network data are available and statistical constraints are applied to confine the model behavior. We have established a traffic information database for Hong Kong Island and applied the model for traffic flow simulation. It is shown ...

Vision-based traffic flow analysis is getting more attention due to its non-intrusive nature. However, real-time video processing techniques are CPUintensive so accuracy of extracted traffic flow data from such techniques may be sacrificed in practice. Moreover, the traffic measurements extracted from cameras have hardly been validated with real dataset due to the limited availability of real w...

The prediction and modelling of traffic flow is one of the future challenges. Although larger cities own traffic control centres with several traffic computers and hundreds of intersection controllers the potential to optimise the flow is rarely used. In a co-operation between the municipal authority and the university of Duisburg we developed a simulation tool to generate an actual traffic flo...

Traffic flow at low densities (free traffic) is characterized by a quasi-one-dimensional relation between traffic flow and vehicle density, while no such fundamental diagram exists for ‘synchronized’ congested traffic flow. Instead, a two-dimensional area of widely scattered flow-density data is observed as a consequence of a complex traffic dynamics. For an explanation of this phenomenon and t...