Analytic Relationships between Travel Time Reliability Measures

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A statistical method for estimating predictable differences between daily traffic flow profiles (2017, background): “…in research on demand (Watling, 2002, Clark and Watling, 2005, Sumalee et al., 2006, Shao et al., 2006, Nakayama and Watling, 2014), capacity (Lo and Tung, 2003, Siu and Lo, 2008, Sumalee et al., 2011b) or travel times (Noland and Small, 1995, Clark and Watling, 2005, Pu, 2011, Guo et al., 2012).”
Temporal and weather related variation patterns of urban travel time: Considerations and caveats for value of travel time, value of variability, and mode choice studies (2014, background): “Wenjing (2011) investigates the analytical relationship between several travel time reliability measures and suggests CoV as a good proxy for several other reliability measures.”
Compound Gamma representation for modeling travel time variability in a traffic network (2015, unknown): “By far the most widely used are the Normal, Lognormal, Gamma, and Weibull distributions; many studies provide discussions and suggestions about the use of these models for fitting travel time data under different circumstances (Al-Deek and Emam, 2006; Arroyo and Kornhauser, 2005; Mazloumi et al., 20”
Travel through time: the story of research on travel time reliability (2013, background): “Kaparais, Bell, and Blezner (2008), Pu (2011) and Wakabayashi and Matsumoto (2012) provide reviews of a range of proposed travel time reliability indices, including the indices introduced above.”