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- W2895956474 abstract "AbstractThe estimation of urban arterial travel time distribution (TTD) is critical to help implement Intelligent Transportation Systems (ITS) and provide travelers with timely and reliable route guidance. The state-of-practice procedure for arterial TTD estimation commonly assumes that the path travel time follows a certain distribution without considering link correlations. However, this approach appears inappropriate since travel times on successive links are essentially dependent along signalized arterials. In this study, a copula-based approach is proposed to model arterial TTD by accounting for spatial link correlations. First, TTDs on consecutive links along one arterial in Hangzhou, China are investigated. Link TTDs are estimated through the nonparametric kernel smoothing method. Link correlations are analyzed in both unfavorable and favorable coordination cases. Then, Gaussian copula models are introduced to model the dependent structure between link TTDs. The parameters of Gaussian copula are ob..." @default.
- W2895956474 created "2018-10-26" @default.
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- W2895956474 date "2018-10-17" @default.
- W2895956474 modified "2023-10-18" @default.
- W2895956474 title "Modeling arterial travel time distribution by accounting for link correlations: a copula-based approach" @default.
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- W2895956474 doi "https://doi.org/10.1080/15472450.2018.1484738" @default.
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