Asymptotic approximations of transient behaviour for day-to-day traffic models

• Published in: Transportation research. Part B: methodological Vol. 118; pp. 90 - 105
• Main Authors: Watling, David P., Hazelton, Martin L.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.12.2018; Elsevier Science Ltd
• Subjects: Approximation; Asymptotic properties; Computer simulation; Data processing; Information processing; Markov process; Mathematical analysis; Monte Carlo simulation; Network change; Route choice; Routes; Stochastic models; Stochastic process; Stochastic processes; Stochastic user equilibrium; Traffic congestion; Traffic information; Traffic models; Transportation network; Markov process; Network change; Stochastic user equilibrium; Stochastic process; Route choice; Transportation network

•Transient behaviour of traffic systems reacting to change is critical for network management.•Stochastic models of day-to-day dynamics of traffic systems can describe such transience.•Asymptotic results provide tractable approximations to properties of these models.•Theoretical results hold for bot...