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Python scripts for computing a dynamic user equilibrium solution for a multi-OD road network. The model uses a cell transmission model for network loading and considers both departure time choices and splitting rates.

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DTAnx

Python scripts for computing a dynamic user equilibrium solution in terms of splitting rates and departure time choices for a multi-OD road network. The model uses a cell transmission model for network loading and considers both departure time choices and splitting rates.

References

  1. Ukkusuri, S. V., Han, L., & Doan, K. (2012). Dynamic user equilibrium with a path based cell transmission model for general traffic networks. Transportation Research Part B: Methodological, 46(10), 1657-1684.
  2. Carey, M., Bar-Gera, H., Watling, D., & Balijepalli, C. (2014). Implementing first-in–first-out in the cell transmission model for networks. Transportation Research Part B: Methodological, 65, 105-118.

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Python scripts for computing a dynamic user equilibrium solution for a multi-OD road network. The model uses a cell transmission model for network loading and considers both departure time choices and splitting rates.

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