Applying Cluster Analysis Techniques to Traffic Operations for the Virginia Department of Transportation (VDOT)

Project No: 00124

Target Completion Date: June 30, 2017 Safety, Operations, and Traffic Engineering

About the project:

class="ElementText" style="margin: 0in 0in 0pt;">The proposed research will attempt to employ cluster analysis techniques to answer questions related to traffic operations such as:

  • Can we discriminate between recurrent congestion and outliers?

  • For a given corridor with recurrent incidents, can we identify a typical day for operations planning purposes?
  • How do we define a corridor-specific typical peak period while considering a variety of demand management initiatives, peak hour spreading, dynamic vehicle routing, connected vehicles and variable weather conditions?
  • Can we identify how many time periods VDOT needs to plan for in terms of resource and congestion management?

    In addition, we will establish a methodology to identify the most relevant variables for VDOT and to identify the most suitable clustering algorithm for VDOT needs. The established methodology will be tested on a pilot corridor and the results will be documented.


Project Team

Other Investigators

  • Hesham Rakha

Last updated: July 5, 2023

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