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Showing 1 to 12 of 12 for “"FUNDAMENTAL DIAGRAM"”.

  1. Using the Macroscopic Fundamental Diagram to Characterize the Traffic Flow in Urban Network

    Various theories have been proposed to describe vehicular traffic flow in cities on an aggregate level. This dissertation work shows that a number of MFDs exist in an urban network. The number of MFDs basically indicate the existence of different levels of service on different network routes. It …

    vt Repository record for Using the Macroscopic Fundamental Diagram to Characterize the Traffic Flow in Urban Network (opens in a new tab)

  2. Investigating the Properties and Existence of a Macroscopic Fundamental Diagram for Arterial and Freeway Traffic Systems

    … in Yokohama (Japan) revealed that a macroscopic fundamental diagram (MFD) linking space-mean flow , density and speed exists on a large urban area. Despite these and other recent findings for the existence of well defined MFDs for urban areas, these MFDs should not be universally expected. In …

    umn Repository record for Investigating the Properties and Existence of a Macroscopic Fundamental Diagram for Arterial and Freeway Traffic Systems (opens in a new tab)

  3. Empirical Estimation of a Macroscopic Fundamental Diagram (MFD) for the City of Cape Town Freeway Network

    … time and effort. The application of macroscopic fundamental diagram (herein referred to as MFD) to characterize the state of an urban-scale network has thus far proven to be more effective than other approaches. MFD represents the state of urban traffic by defining the traffic throughput of an …

    cape-town Repository record for Empirical Estimation of a Macroscopic Fundamental Diagram (MFD) for the City of Cape Town Freeway Network (opens in a new tab)

  4. Regulating Traffic Flow and Speed on Large Networks: Control and Geographical Self Organizing Map (Geo-SOM) Clustering

    … Perimeter control is based on the Network Fundamental Diagram (NFD). NFD-based perimeter control techniques are used to solve congestion problems in transportation networks. One well-known method used in the literature is Proportional Integral Control (PIC). PIC solves the congestion …

    vt Repository record for Regulating Traffic Flow and Speed on Large Networks: Control and Geographical Self Organizing Map (Geo-SOM) Clustering (opens in a new tab)

  5. From Microscopic to Macroscopic Scales: Traffic Waves and Sparse Control

    … non-equilibrium wave structures that rise in the fundamental diagram, (v) and derives and validates vehicle type specific simple fuel consumption rate models that are accurate, computationally fast, and have desirable physics-like properties. The insights gained from this study has many …

    temple Repository record for From Microscopic to Macroscopic Scales: Traffic Waves and Sparse Control (opens in a new tab)

  6. Data-Fitted Generic Second Order Macroscopic Traffic Flow Models

    … congested traffic state, where the historic fundamental diagram data points are observed to be set-valued. However, the ARZ model also possesses some obvious shortcomings, e.g., it assumes multiple maximum traffic densities which should be a ``property" of road. Instead, we propose a …

    temple Repository record for Data-Fitted Generic Second Order Macroscopic Traffic Flow Models (opens in a new tab)

  7. Traffic state prediction in a connected automated driving environment

    Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01

    uiuc Repository record for Traffic state prediction in a connected automated driving environment (opens in a new tab)

  8. Understanding Traffic Congestion Through Multiscale Analysis: Sensor Deployment, Car-Following and Universal Scaling

    … of traffic states, such as the macroscopic fundamental diagram (MFD), are widely used to capture the relationship between average flow and density across urban networks. While loop detector data is the most commonly used source for estimating the MFD, its accuracy can be affected by how …

    gatech Repository record for Understanding Traffic Congestion Through Multiscale Analysis: Sensor Deployment, Car-Following and Universal Scaling (opens in a new tab)

  9. Data-Driven Modeling of Pedestrian Crowds

    … a smooth flow-density relationship, called the fundamental diagram. * The walking speed will settle at 0 m/s at a specific maximum crowd density. The first two assumptions were found to be consistent with the data, but the pedestrian-flow theory had to be revised, since the two latter …

    qucosa-diss

  10. Incorporating Socio-Economic Factors in Traffic Management and Control

    … in terms of system performance. Macroscopic Fundamental Diagrams has been used during research to present traffic movement and evaluate traffic performance. This thesis also look at the outcome of each strategy at different household income group in the city. The attention are drawn to the …

    vt Repository record for Incorporating Socio-Economic Factors in Traffic Management and Control (opens in a new tab)

  11. Real-time Traffic State Prediction: Modeling and Applications

    … equation is combined with the Van Aerde fundamental diagram to derive a time series model that can accurately describe the spatiotemporal evolution of traffic state. The developed model is applied within a particle filter approach to provide multi-step traffic state prediction. The …

    vt Repository record for Real-time Traffic State Prediction: Modeling and Applications (opens in a new tab)

  12. Η ΔΥΝΑΜΙΚΗ ΤΗΣ ΚΙΝΗΣΗΣ ΚΑΙ ΤΗΣ ΣΥΜΒΟΛΗΣ ΚΥΚΛΟΦΟΡΙΑΚΩΝ ΡΕΥΜΑΤΩΝ. ΜΑΚΡΟΣΚΟΠΙΚΗ ΜΑΘΗΜΑΤΙΚΗ ΘΕΩΡΗΣΗ

    THIS DISSERTATION SEARCHES AND DEVELOPS THE THEORETICAL SOLUTION OF THE CONTINUITY EQUATION FOR THE CONTINUOUS AND INTERRUPTED TRAFFIC FLOW. THE METHODOLOGY OF THIS MACROSCOPIC SOLUTION, IS THE BASIS FOR THE DEVELOPMENT OF REAL TIME-TRAFFIC RESPONSIVE, TRAFFIC FLOW MODELS. FURTHERMORE BASED ON THE …

    greece Repository record for Η ΔΥΝΑΜΙΚΗ ΤΗΣ ΚΙΝΗΣΗΣ ΚΑΙ ΤΗΣ ΣΥΜΒΟΛΗΣ ΚΥΚΛΟΦΟΡΙΑΚΩΝ ΡΕΥΜΑΤΩΝ. ΜΑΚΡΟΣΚΟΠΙΚΗ ΜΑΘΗΜΑΤΙΚΗ ΘΕΩΡΗΣΗ (opens in a new tab)