Counterfactual Prediction in Transport Modelling - Ricardo Silva & Charisma Choudhury

Counterfactual Prediction in Transport Modelling - Ricardo Silva & Charisma Choudhury

Alan Turing Institute via YouTube Direct link

Moving Beyond Expectations

11 of 17

11 of 17

Moving Beyond Expectations

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Counterfactual Prediction in Transport Modelling - Ricardo Silva & Charisma Choudhury

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  1. 1 Intro
  2. 2 Causality in Transport Modelling
  3. 3 This Talk Problems on interest
  4. 4 Disrupted Exits Will Not Fit Natural Regime
  5. 5 Potential Uses
  6. 6 Causal Prediction in Our Setup
  7. 7 Examples of Related Work
  8. 8 Counterfactual Mapping in the Underground A Flow-Based Featurisation . Covariates here are the state of the system at the moment of the disruption, so all random variables are conditioned on the past…
  9. 9 Example of Parameterisation
  10. 10 Example of Output
  11. 11 Moving Beyond Expectations
  12. 12 Comparing Scores
  13. 13 Out-of-Sample Evaluation
  14. 14 Comparison
  15. 15 Log-likelihood of Disrupted Exit Counts Log-scale
  16. 16 Exit-Count Distributions
  17. 17 Conclusions

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