Highlights ► We introduce the distribution-free paradigm to reliability assessment. ► Bounds on the reliability are obtained instead of exact statements. ► Due to semi-analytical results, we ensure computationally efficiency. ► Bounds for a wide range of travel times are obtained with limited input information. ► Inclusion of higher order moments can substantially improve the quality of bounds.
Abstract An assumption that pervades the current transportation system reliability assessment literature is that probability distributions of the sources of uncertainty are known explicitly. However, this distribution may be unavailable (inaccurate) in reality as we may have no (insufficient) data to calibrate the distribution. In this paper we relax this assumption and present a new method to assess travel time reliability that is distribution-free in the sense that the methodology only requires that the first N moments (where N is a user-specified positive integer) of the travel time to be known and that the travel times reside in a set of bounded and known intervals. Because of our modeling approach, all sources of uncertainty are automatically accounted for, as long as they are statistically independent. Instead of deriving exact probabilities on travel times exceeding certain thresholds via computationally intensive methods, we develop semi-analytical probability inequalities to quickly (i.e. within a fraction of a second) obtain upper bounds on the desired probability. Numerical experiments suggest that the inclusion of higher order moments can potentially significantly improve the bounds. The case study also demonstrates that the derived bounds are nontrivial for a large range of travel time values.
Distribution-free travel time reliability assessment with probability inequalities
Transportation Research Part B: Methodological ; 45 , 6 ; 852-866
2011-03-20
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Distribution-free travel time reliability assessment with probability inequalities
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