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Towards Dynamic Bayesian Networks: State Augmentation for Online Calibration of DTA Systems.

, , , , , and . ITSC, page 1745-1750. IEEE, (2018)

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Non-linear kalman filtering algorithms for on-line calibration of dynamic traffic assignment models., , and . ITSC, page 833-838. IEEE, (2006)Transportation activity analysis using smartphones., , , , , , , , , and 1 other author(s). CCNC, page 60-61. IEEE, (2012)Quantifying mobility: pervasive technologies for transport modeling., , , , and . UbiComp/ISWC Adjunct, page 1039-1044. ACM, (2015)Forecasting Demand for Travel: New Technologies and Changing Demand., and . EUROSIM, page 323-328. Elsevier, (1992)A simulation-based framework for the generation and evaluation of traffic management strategies., , , and . SpringSim (ANSS), page 9. SCS/ACM, (2014)Network Impacts of Automated Mobility-on-Demand: A Macroscopic Fundamental Diagram Perspective., , , and . CoRR, (2020)Dynamic Model of Peak Period Traffic Congestion with Elastic Arrival Rates., , and . Transp. Sci., 20 (3): 164-181 (1986)Affinity Matrix Learning through Subspace Clustering for Tolling Zone Definition., , and . MT-ITS, page 1-6. IEEE, (2021)Activity Recognition for a Smartphone Based Travel Survey Based on Cross-User History Data., , , , , and . ICPR, page 432-437. IEEE Computer Society, (2014)A user-centric mobility sensing system for transportation activity surveys., , , , and . SenSys, page 74:1-74:2. ACM, (2013)