TY - JOUR
T1 - Urban travel time reliability at different traffic conditions
AU - Zheng, Fangfang
AU - Li, Jie
AU - van Zuylen, H.J.
AU - Liu, Xiaobo
AU - Yang, Hongtai
PY - 2017/12/23
Y1 - 2017/12/23
N2 - The decision making of travelers for route choice and departure time choice depends on the expected travel time and its reliability. A common understanding of reliability is that it is related to several statistical properties of the travel time distribution, especially to the standard deviation of the travel time and also to the skewness. For an important corridor in Changsha (P.R. China) the travel time reliability has been evaluated and a linear model is proposed for the relationship between travel time, standard deviation, skewness, and some other traffic characteristics. Statistical analysis is done for both simulation data from a delay distribution model and for real life data from automated number plate recognition (ANPR) cameras. ANPR data give unbiased travel time data, which is more representative than probe vehicles. The relationship between the mean travel time and its standard deviation is verified with an analytical model for travel time distributions as well as with the ANPR travel times. Average travel time and the standard deviation are linearly correlated for single links as well as corridors. Other influence factors are related to skewness and travel time standard deviations, such as vehicle density and degree of saturation. Skewness appears to be less well to explain from traffic characteristics than the standard deviation is.
AB - The decision making of travelers for route choice and departure time choice depends on the expected travel time and its reliability. A common understanding of reliability is that it is related to several statistical properties of the travel time distribution, especially to the standard deviation of the travel time and also to the skewness. For an important corridor in Changsha (P.R. China) the travel time reliability has been evaluated and a linear model is proposed for the relationship between travel time, standard deviation, skewness, and some other traffic characteristics. Statistical analysis is done for both simulation data from a delay distribution model and for real life data from automated number plate recognition (ANPR) cameras. ANPR data give unbiased travel time data, which is more representative than probe vehicles. The relationship between the mean travel time and its standard deviation is verified with an analytical model for travel time distributions as well as with the ANPR travel times. Average travel time and the standard deviation are linearly correlated for single links as well as corridors. Other influence factors are related to skewness and travel time standard deviations, such as vehicle density and degree of saturation. Skewness appears to be less well to explain from traffic characteristics than the standard deviation is.
KW - automated number plate recognition
KW - skewness
KW - travel time reliability
KW - travel time standard deviation
KW - urban traffic
UR - http://www.scopus.com/inward/record.url?scp=85039731571&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:03d0fd16-cef6-4156-bea8-1634731ddbd1
U2 - 10.1080/15472450.2017.1412829
DO - 10.1080/15472450.2017.1412829
M3 - Article
AN - SCOPUS:85039731571
SN - 1547-2450
VL - 22 (1028)
SP - 106
EP - 120
JO - Journal of Intelligent Transportation Systems: technology, planning, and operations
JF - Journal of Intelligent Transportation Systems: technology, planning, and operations
IS - 2
ER -