TY - JOUR
T1 - Valuing travel time variability
T2 - Characteristics of the travel time distribution on an urban road
AU - Fosgerau, Mogens
AU - Fukuda, Daisuke
PY - 2012/10
Y1 - 2012/10
N2 - This paper provides a detailed empirical investigation of the distribution of travel times on an urban road for valuation of travel time variability. Our investigation is premised on the use of a theoretical model with a number of desirable properties. The definition of the value of travel time variability depends on certain properties of the distribution of random travel times that require empirical verification. Applying a range of nonparametric statistical techniques to data giving minute-by-minute travel times for a congested urban road over a period of five months, we show that the standardized travel time is roughly independent of the time of day as required by the theory. Except for the extreme right tail, a stable distribution seems to fit the data well. The travel time distributions on consecutive links seem to share a common stability parameter such that the travel time distribution for a sequence of links is also a stable distribution. The parameters of the travel time distribution for a sequence of links can then be derived analytically from the link level distributions.
AB - This paper provides a detailed empirical investigation of the distribution of travel times on an urban road for valuation of travel time variability. Our investigation is premised on the use of a theoretical model with a number of desirable properties. The definition of the value of travel time variability depends on certain properties of the distribution of random travel times that require empirical verification. Applying a range of nonparametric statistical techniques to data giving minute-by-minute travel times for a congested urban road over a period of five months, we show that the standardized travel time is roughly independent of the time of day as required by the theory. Except for the extreme right tail, a stable distribution seems to fit the data well. The travel time distributions on consecutive links seem to share a common stability parameter such that the travel time distribution for a sequence of links is also a stable distribution. The parameters of the travel time distribution for a sequence of links can then be derived analytically from the link level distributions.
KW - Nonparametrics
KW - Stable distributions
KW - Travel time distribution
KW - Value of travel time variability
UR - http://www.scopus.com/inward/record.url?scp=84858304479&partnerID=8YFLogxK
U2 - 10.1016/j.trc.2012.02.008
DO - 10.1016/j.trc.2012.02.008
M3 - Journal article
AN - SCOPUS:84858304479
SN - 0968-090X
VL - 24
SP - 83
EP - 101
JO - Transportation Research Part C: Emerging Technologies
JF - Transportation Research Part C: Emerging Technologies
ER -