01049585

Component

https://doi.org/10.3141/2035-21

http://scholar.google.com...Hadi&publication_year=2007

Benefit–cost analyses of intelligent transportation systems (ITS) have produced point estimates of the benefit–cost ratios of ITS deployments. The need to perform risk analyses to account for the uncertainty in ITS benefit and cost parameters is discussed. It is recommended that the analyses be based on overall assessments of the combination of point estimates, confidence limits, and probability distributions of the benefits, costs, and benefit–cost ratios. Two methods are presented for performing risk analyses with Monte Carlo simulation. The first allows the calculation of the parameters required for the risk analysis procedure in the ITS Deployment Analysis System (IDAS) sketch planning tool. No methodology has been proposed for this calculation in the literature. The second method is a generalized risk analysis procedure that can be implemented in sketch planning tools. The procedure was implemented in this study as part of the screening analysis for ITS. The results indicate that for the investigated case studies, procedures that base the risk analyses on varying the output variables (as is the case in IDAS) will result in benefit–cost ratios with medians (50th percentiles) that are close to those obtained with procedures that are based on varying the input variables. However, the confidence limits produced may be different. The results also indicate that risk analyses produce wide confidence intervals of the estimated benefit–cost ratios, reflecting the high levels of uncertainty in the values of ITS benefit and cost parameters reported in national benefit–cost studies and databases.

01091263

English

pp 187-194

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104623

Print

Figures (2) ; References (10) ; Tables (3)

Advanced traffic management systems; Benefit cost analysis; Case studies; Intelligent transportation systems; Monte Carlo method; Risk analysis; Sketch planning; Traffic simulation; Uncertainty; Variable message signs

ITS Deployment Analysis System

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control

TRIS, TRB, ATRI

Feb 8 2007 6:37PM

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