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Risk Analysis of Safety Service Patrol (SSP) Systems in Virginia
Author(s) -
Dickey Brett D.,
Santos Joost R.
Publication year - 2011
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.2011.01631.x
Subject(s) - incident management , transport engineering , service (business) , metropolitan area , flow network , event (particle physics) , probabilistic logic , incident report , computer science , operations research , engineering , geography , business , computer security , mathematical optimization , physics , mathematics , archaeology , marketing , quantum mechanics , artificial intelligence
The transportation infrastructure is a vital backbone of any regional economy as it supports workforce mobility, tourism, and a host of socioeconomic activities. In this article, we specifically examine the incident management function of the transportation infrastructure. In many metropolitan regions, incident management is handled primarily by safety service patrols (SSPs), which monitor and resolve roadway incidents. In Virginia, SSP allocation across highway networks is based typically on average vehicle speeds and incident volumes. This article implements a probabilistic network model that partitions “business as usual” traffic flow with extreme‐event scenarios. Results of simulated network scenarios reveal that flexible SSP configurations can improve incident resolution times relative to predetermined SSP assignments.