The estimation of the network traffic state, its likely short-term evolution and the prediction of the expected travel times in a network are key steps of traffic management and information systems, especially in urban areas and in real-time applications. To perform such functions, most systems have at their core engine specific dynamic traffic models whose main input is a dynamic OD-matrix describing the time dependency of travel patterns in urban scenarios. This chapter provides an overview of the main concepts supporting these dynamic traffic models and their practical implementations in some software platforms, as well as an outline on the main approaches for the estimation of dynamic OD-matrices. Additionally, this chapter provides a basic discussion on one of the main emerging trends: strategies aimed at using the unprecedented amount of new traffic data made available by “new” mobile technologies.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Data Analytics and Models for Understanding and Predicting Travel Patterns in Urban Scenarios


    Additional title:

    Springer Tracts on Transportation, Traffic


    Contributors:


    Publication date :

    2022-01-21


    Size :

    77 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Predicting TCM Responses with Urban Travel-Demand Models

    Stopher, P. R. / ASCE; Urban Transportation Division; Committee on Energy and Environmental Aspects of Transportation | British Library Conference Proceedings | 1994


    Changing patterns of urban travel

    The European Conference of Ministers of Transport / European Conference of Ministers of Transport / OECD | SLUB | 1985


    Travel patterns of urban residents

    Kansky, K.J. | Engineering Index Backfile | 1967


    Changing patterns of urban travel

    Webster, F. V. / Bly, P. H. / Johnston, R. H. et al. | Taylor & Francis Verlag | 1986


    Understanding Taxi Travel Demand Patterns Through Floating Car Data

    Nuzzolo, Agostino / Comi, Antonio / Papa, Enrica et al. | Springer Verlag | 2018