Rerouting phenomena modelling of unexpected events in Dynamic Traffic Assignment

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	Contents
	1. Summary
	1.1. Highlights 1.2. Scope 1.3. Abstract 1.4. Outline 1.5. Acknowledgements
	2. Notation, definitions and abbreviations
	2.1. Definitions 2.3. Abbreviations 2.2. Notation
	3. Introduction
	3.1. Motivation 3.2. Rerouting phenomena in dynamic traffic assignment 3.3. State-of-the-art and the problem statement 3.4. Literature review 3.5. Solutions
	4. Theoretical background
	4.1. Dynamic traffic assignment 4.1.1. DTA notation 4.1.2. DTA formulation 4.1.3. DTA demand model 4.1.4. Dynamic network loading (DNL) 4.2. DTA limitations to model rerouting phenomena 4.3. Hybrid route-choice model in implicit path enumeration 4.4. DTA issues in the rerouting context 4.4.1. Typical state-of-the-network and typical demand pattern 4.4.2. Implicit versus explicit path enumeration 4.4.3. Flows per destination versus splitting rates 4.4.4. Recomputing state-of-the-network from the performance pattern 4.4.5. Iterative assignment and rerouting phenomena 4.4.6. Different topological order in case of the event 4.5. Summary of the theoretical background
	5. Rerouting models for Dynamic Traffic Assignment
	5.1. Information Comply Model (ICM) 5.1.1. Idea 5.1.2. Methodology 5.1.3. Network Flow Propagation for the Information Comply Model 5.1.4. Rerouting path 5.1.5. DTA with Information Comply Model – ICM DTA 5.1.6. Illustrative examples 5.1.7. Summary of the Information Comply Model 5.2. Rolling Horizon DTA 5.2.1. Rolling Horizon framework 5.2.2. Rolling Horizon DTA model 5.2.3. Illustrative examples 5.2.4. Summary of the rolling horizon model 5.3. Summary of the rerouting models
	6. Direct and indirect observation of rerouting phenomena in traffic networks
	6.1. Introduction 6.2. Direct observation 6.2.1. Observing paths 6.2.2. Calibrating ICM model using observed paths 6.2.3. Illustrative example 6.3. Indirect observation 6.3.1. Observing flows 6.3.2. Cut-set observation 6.3.3. Estimating ICM model 6.4. Case study of Warsaw bridges 6.4.1. Analysis 6.5. Summary of the rerouting observations
	7. Conclusions
	7.1. Further research directions
	8. Literature
	9. Streszczenie w języku polskim
	9.1. Abstrakt 9.2. Problem 9.3. Cel i tezy pracy 9.4. Zakres pracy 9.5. Aktualny stan wiedzy i luka badawcza 9.6. Narzędzia 9.7. Rozwiązania 9.7.1. ICM - model przyswajania informacji 9.7.2. RH-DTA –Model przesuwającego się horyzontu 9.8. Obserwacje zjawiska i estymacja modeli 9.9. Wnioski 9.10. Dalsze kierunki badań 9.11. Podsumowanie