Traffic flow modeling: Developing and testing traffic models

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Related lectures (48)

Real-time traffic management MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers real-time traffic management, including traffic flow modeling, control strategies, sensors, and public transport priority.

Ramp Metering: Applications MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers the concept and benefits of ramp metering, its implementation issues, and case studies from Amsterdam and Australia.

Variable speed limits: Traffic flow modeling and ITS MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers variable speed limits, merging traffic control, and feedback structures for traffic flow.

Actuated and Coordinated Control MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers actuated and coordinated control in traffic flow modeling and ITS.

Static Route Choice: Congestion Games MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Explores static route choice, congestion games, equilibrium concepts, Braess paradox, and system performance.

Traffic Flow Modelling: Urban Congestion and Mobility Improvement MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Focuses on urban congestion, traffic management schemes, and improving mobility through elegant models and smart control algorithms.

Macroscopic Fundamentals Diagram, Physical Properties MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers the Macroscopic Fundamental Diagram in traffic flow modeling, discussing its physical properties, regularity conditions, and congestion propagation.

Urban Mobility in Brussels MOOC: Mobility and urban planning

Explores urban mobility and planning in Brussels, focusing on the Schuman multimodal hub and transportation infrastructure.

Model Selection Criteria: AIC, BIC, Cp

Explores model selection criteria like AIC, BIC, and Cp in statistics for data science.

Mixture Models: Simulation-based Estimation

Explores mixture models, including discrete and continuous mixtures, and their application in capturing taste heterogeneity in populations.

Linear and Ridge Regression

Covers linear and ridge regression, overfitting, hyperparameters, and test sets.

Developing a Model

Covers the development of a model to identify stable causal relationships between variables.

Urban Restructuring in Pikine Irregular South: Tools and Methods

Covers the urban restructuring of Pikine Irregular South, focusing on traffic flow, public transportation networks, and social facilities.

Network level traffic management and control with MFDs MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Explores network-level traffic management and control using Macroscopic Fundamental Diagrams (MFDs) for large-scale urban transport systems.

Model Selection: Non-Nested Model Selection

Explores model selection, criteria, bias/variance tradeoff, and cross-validation methods.

Linear Regression and Gradient Descent

Covers linear regression, gradient descent, overfitting, and ridge regression among other concepts.

Equilibrium Approximation: How Good MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Delves into the limits of equilibrium models in transportation and the concept of equilibrium stability in traffic conditions.

Traffic flow variables MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers traffic flow variables, including space-time diagrams and speed calculations, based on Edie (1963).

Traffic Flow Modeling: LWR Theory Examples MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Explores applying LWR theory to analyze traffic congestion scenarios.

Projection-based Testing in Longitudinal Functional Regression

By Ana-Maria Staicu covers testing for time-varying mean and covariate effects in longitudinal functional regression.

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