Travel time estimation plays an important role in freeway performance assessment and reliability management. Conventional estimation methods based on speed information do not consider the level of congestion during modelling, leading to unreliable estimations under congested conditions. This study presents a freeway travel time estimation method based on the general motors (GM) model, where the concept ‘virtual vehicle’ was proposed to apply macroscopic traffic flow data to the microscopic GM model. First, a GM‐based travel time estimation (GMTTE) model was developed to estimate link travel time. Three sets of parameters , and were separately used under free‐flowing, congestion and transition conditions. Next, two corridor estimation models, namely GMTTE time‐slice‐based (GMTTE‐TSB) model and GMTTE continuous‐speed (GMTTE‐CS) model, were proposed. To calibrate the three parameters, a genetic algorithm framework was developed. The proposed method was calibrated and evaluated using traffic data collected from seven freeway segments in the greater St. Louis, Missouri region. Results show that (i) the GMTTE‐CS model outperformed the GMTTE‐TSB model; (ii) the optimal parameters of the GMTTE‐CS model under free‐flowing and congested conditions are and , respectively; (iii) the GMTTE‐CS model outperformed the instantaneous and time‐slice models under congested conditions, while showing similar accuracies with the two models under free‐flowing and status‐transition conditions; and (iv) the optimal time interval was found to be 9–10 min for free‐flowing conditions and 6–7 min for congested conditions.
Freeway travel time estimation based on the general motors model: a genetic algorithm calibration framework
IET Intelligent Transport Systems ; 13 , 7 ; 1154-1163
2019-07-01
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
GM‐based travel time estimation model , microscopic GM model , genetic algorithms , freeway performance assessment , intelligent transportation system , freeway travel time estimation method , GMTTE time‐slice‐based model , estimation theory , road traffic , genetic algorithm calibration framework , GMTTE‐CS model , GMTTE‐TSB model , traffic engineering computing , conventional estimation methods , macroscopic traffic flow data , data handling , intelligent transportation systems , general motors model
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