Incident Management using an integrated Machine Learning and Dynamic Traffic simulation modelling
The topic of the presentation is related to a prototype for an Incident Management platform using an integrated Machine Learning and Dynamic Traffic simulation modeling.
Original Scientific paper behind the presentation:
https://www.tandfonline.com/doi/abs/10.1080/19427867.2021.1916284?journalCode=ytrl20
PREPRINT: http://www.simonamihaita.com/papers/TL_PREPRINT2021.pdf
Citation:
Shafiei, S.; Mihaita, A.S.; Nguyen, H.; Cai, C.; A data-driven and traffic simulation approach to predict the short-term traffic state affected by non-recurrent incidents, Transportation Letters: the International Journal of Transportation Research (IF=1.84), DOI: 10.1080/19427867.2021.1916284 , Accepted 8th of April 2020
More Information:
fmlab.org
simonamihaita.com
Contact: adriana-simona.mihaita@uts.edu.au
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