Growing interest in performance reliability and improving data availability is motivating a shift toward probabilistic treatments of travel time across a number of intelligent transportation system applications. Hazard-based analysis supports the development of probabilistic travel time models and latent-class-style methodologies capture how the mechanisms affecting travel time are expected to differ based on congestion status. Benefiting from rich data available for metropolitan freeway travel times in the San Francisco Bay Area, this paper studies how congestion state, traffic demand, roadway variables, and weather impact travel-time performance in a probabilistic regime. Congestion state is captured as an inferred yet unobserved segmentation in the data using latent segmentation, and hazard-based models of travel times are developed for the congested and uncongested classes. The final model represents an intuitive description of the factors that probabilistically influence travel time on freeways. The predicted aggregation shows excellent agreement with the data. With opportunities for improvement in the data sources and complexity of the latent segmentation, the final model nevertheless represents a simple yet flexible solution for understanding the relationships between travel time, traffic state, and relevant behavioral, geometric, and environmental factors.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Latent-Segmentation, Hazard-Based Models of Travel Time


    Beteiligte:


    Erscheinungsdatum :

    01.08.2017


    Format / Umfang :

    1417383 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Latent-Segmentation, Hazard-Based Models of Travel Time

    Moylan, Emily K. M | Online Contents | 2017


    Latent-Segmentation, Hazard-Based Models of Travel Time

    Moylan, Emily K. M | Online Contents | 2017


    Latent-Segmentation-Based Approach to Investigating Spatial Transferability of Activity-Travel Models

    Wafa, Zeina / Bhat, Chandra R. / Pendyala, Ram M. et al. | Transportation Research Record | 2015


    Modeling Travel Tool Ownership of the Elderly Population: Latent Segmentation-Based Logit Model

    Fatmi, Mahmudur Rahman / Habib, Muhammad Ahsanul | Transportation Research Record | 2016