Highlights Combination of data on travel times, information, route choice and travel diaries. Analysis of travel time representation and perception on estimation and prediction. Interpretation of parameter estimates based on dynamic representation of travel time. Accurate predictions for both static and dynamic models using correlated utilities. Interpretation of parameter estimates differ for static and dynamic travel time representations.

    Abstract Travel information has the potential to influence travellers choices, in order to steer travellers to less congested routes and alleviate congestion. This paper investigates, on the one hand, how travel information affects route choice behaviour, and on the other hand, the impact of the travel time representation on the interpretation of parameter estimates and prediction accuracy. To this end, we estimate recursive models using data from an innovative data collection effort consisting of route choice observation data from GPS trackers, travel diaries and link travel times on the overall network. Though such combined data sets exist, these have not yet been used to investigate route choice behaviour. A dynamic network in which travel times change over time has been used for the estimation of both recursive logit and nested models. Prediction and estimation results are compared to those obtained for a static network. The interpretation of parameter estimates and prediction accuracy differ substantially between dynamic and static networks as well as between models with correlated and uncorrelated utilities. Contrary to the static results, for the dynamic, where travel times are modelled more accurately, travel information does not have a significant impact on route choice behaviour. However, having travel information increases the travel comfort, as interviews with participants have shown.


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    Title :

    Route choice behaviour and travel information in a congested network: Static and dynamic recursive models


    Contributors:


    Publication date :

    2020-02-15


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Junction design and congested route choice

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    Route choice behaviour with pre-trip travel time information

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    Dissemination of travel time information along congested corridors

    Bullock,D. / Quiroga,C.A. / Schwehm,C. et al. | Automotive engineering | 1996