Traffic Signal Optimization: Combining Static and Dynamic Models

In this paper, the authors present a cyclically time-expanded network model for simultaneous optimization of traffic assignment and traffic signal parameters, in particular, offsets, split times, and phase orders. Since travel times are of great importance for developing realistic solutions for traffic assignment and traffic signal coordination in urban road networks, the authors perform an extensive analysis of the model. They give an example showing that a linear time-expanded model can reproduce realistic nonconvex travel times especially for use with traffic signals and they verify this by simulation. Furthermore, the authors show how exact mathematical programming techniques - namely, mixed-integer linear programming - can be used for optimizing the control of traffic signals. The authors provide computational results for real-world instances and demonstrate the capabilities of the cyclically time-expanded model by simulation results obtained with state-of-the-art traffic simulation tools.


  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01695261
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Feb 21 2019 9:49AM