Model Predictive Control For Optimal Coordination Of Ramp Metering And Variable Speed Limits.pdf

01_10.pdf
Preview of Model Predictive Control for Optimal Coordination of Ramp Metering and Variable Speed Limits
🔗 Source: dcsc.tudelft.nl
📊 Size: 319 KB
📄 Pages: 9 pages
⬇️ Downloads: 41

Summary

This technical report by Andreas Hegyi, Bart De Schutter, and Hans Hellendoorn from Delft University of Technology explores the application of Model Predictive Control (MPC) to optimize the coordination of ramp metering and variable speed limits in traffic networks.

Key Points:

Problem Statement: Increasing traffic congestion on motorways has led to the exploration of network-level control strategies, beyond local measures like ramp metering. The authors aim to demonstrate the benefits of coordinated ramp metering and dynamic speed limits.
Approach: The researchers employ a model predictive control framework. They utilize a modified version of the METANET traffic flow model for prediction, incorporating variable speed limits.
Objective Function: The primary goal is to minimize the total time spent (TTS) by vehicles in the network. An additional term discourages abrupt changes in control signals.
Benefits of Coordinated Control:
Reduced congestion
Increased network outflow
Lower total travel times
Novelty: The study introduces a combined approach, leveraging both ramp metering and dynamic speed limits to expand the range where ramp metering is effective.
* Results (Illustrative): A comparison between "ramp metering only" and "coordinated ramp metering and speed limits" for a simplified network shows significant improvements in network performance with coordinated control.

Description

This technical report from Delft University of Technology presents a model predictive control approach to optimize the coordination between ramp metering and variable speed control in traffic management. The research, published in 2002, aims to enhance traffic flow efficiency. It is available online via the authors' websites.

Technical Information

  • File Format: PDF
  • File Size: 319 KB
  • Pages: 9
  • Language: EN
  • Total Downloads: 41
  • Last Updated: 2 hours ago

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