most citedAmending the Heston Stochastic Volatility Model to Forecast Local Motor Vehicle Crash Rates: A Case Study of Washington, D.C

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

stat.AP2022★ 2 cited

Amending the Heston Stochastic Volatility Model to Forecast Local Motor Vehicle Crash Rates: A Case Study of Washington, D.C

Darren Shannon, Grigorios Fountas

Modelling crash rates in an urban area requires a swathe of data regarding historical and prevailing traffic volumes and crash events and characteristics. Provided that the traffic…