Many transit agencies in the U.S. have instrumented their fleet with Automatic data Collection Systems (ADCS) to monitor the performance of transit vehicles, support schedule planning and improve quality of services. The objective of this study is to use an urban local route (Metro Transit Route 10 in Twin Cities) as a case study and develop a route-based trip time model to support scheduling and planning while applying different transit strategies. Usually, timepoints (TP) are virtually placed on a transit route to monitor its schedule adherence and system performance. Empirical TP time and inter-TP link travel time models are developed. The TP-based models consider key parameters such as number of passengers boarding and alighting, fare payment type, bus type, bus load (seat availability), stop location (nearside or far side), traffic signal and volume that affect bus travel time. TP time and inter-TP link travel time of bus route 10 along Central Avenue between downtown Minneapolis and Northtown were analyzed to describe the relationship between trip travel time and primary independent variables. Regression models were calibrated and validated by comparing the simulation results with existing schedule using adjusted travel time derived from data analyses. The route-based transit simulation model can support Metro Transit in evaluating different schedule plans, stop consolidations, and other strategies. The transit model provides an opportunity to predict and evaluate potential impact of different transit strategies prior to deployment.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Rapid rail transit and planning tools

    Crump, Edythe Traylor | TIBKAT | 1987


    Data-Driven Disruption Response Planning for a Mass Rapid Transit System

    Luo, Chunling / Li, Xinrong / Zhou, Yuan et al. | Springer Verlag | 2019


    Improving transit in small cities through collaborative and data-driven scenario planning

    Goodspeed, Robert / Admassu, Kidus / Bahrami, Vahid et al. | Elsevier | 2023


    Path-oriented synchronized transit scheduling using time-dependent data

    Lee, Kelvin / Jiang, Yu / Ceder, Avishai (Avi) et al. | Elsevier | 2021


    A priori combinatorial optimization tools for transit network planning

    Pratelli, A. / Wessex Institute of Technology | British Library Conference Proceedings | 2000