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Recent Hurricane Irma (2017) created the most extensive scale of evacuationin Florida's history, involving about 6.5 million people on mandatoryevacuation order and 4 million evacuation vehicles. To understand the hurricaneevacuation process, the spatial and temporal evolution of the traffic flow is acritical piece of information, but it is usually not fully observed. Based onthe game theory, this paper employs the available traffic observation on mainhighways (20 cameras; including parts of Route 1, 27 and I-75, 95, 4,10) duringIrma to reconstruct the traffic flow in Florida during Irma. The model isvalidated with self-reported twitters. The traffic reconstruction estimates thetraffic demand (about 4 million cars in total) and the temporal and spatialdistribution of congestion during the evacuation. The results compare well withavailable information from news reports and Twitter records. The reconstructeddata can be used to analyze hurricane evacuation decisions and travel behavior.

A reconstruction of Florida Traffic Flow During Hurricane Irma (2017)