Module 4 : Macroscopic And Mesoscopic Traffic Flow Modeling
Lecture 18 : Cell Transmission Models
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Conclusion

Summary

  • CTM is a discrete approximation of hydrodynamic model. System evolution is based on difference equations.
  • Unlike hydrodynamic model, it explains the phenomenon of Instability.
  • Lesser the time per clock tick lesser are the size of cells and more accurate results would be obtained. But a compromise is needed between accuracy and computational effort. Largest possible cell size which would sufficiently give the details needed must be chosen.
  • CTM has many applications in DTA, NDP, traffic operations, emergency evacuations etc.
  • There is a vast scope for improvement and applications of this model.

Advantages and applications

  • CTM is consistent with hydrodynamic theory, which is a widely used model for studying macroscopic behavior of the traffic.
  • It is simple and sufficiently accurate for planning purposes.
  • CTM can be used to provide "real time" information to the drivers.
  • CTM has been used in developing a system optimal signal optimization formulation.
  • CTM based Dynamic Traffic Assignment have shown good results.
  • CTM has its application in Network Design Problems.(NDP)

Limitations

  • CTM is for a "typical vehicle" in network traffic, work is needed for the multi-modal representation of traffic.
  • Cell length cannot be varied. For this the methods like Modified Cell Transmission Model is to be used.
  • CTM is largely deterministic, stochastic variables are needed to be introduced to represent the random human behavior.