BusMezzo

BusMezzo is a dynamic public transport operations and assignment simulation model. The model can be applied to multi-modal metropolitan public transport networks, including buses, trams, metro and commuter trains as well as the background car traffic. It has been applied in a large range of research projects and real-world applications including network design, cost-benefit evaluation, frequency determination, control strategies and disruptions. The model is especially suitable for studying dynamic phenomena such as congestion, impacts of information and disruption, and service reliability. The open-source program is continuously developed and used by a community of researchers in students in several universities, catered around contributors in TU Delft and KTH Stockholm.

 

You can find here slides (pdf) that provide a brief introduction to BusMezzo.

For more information and the software visit: https://odedcats.weblog.tudelft.nl/busmezzo/


BM framework  Click for a larger version.

Publications

2019

Cats O. and Glück S. (2019). Frequency and Vehicle Capacity Determination Using a Dynamic Transit Assignment Model. Proceedings of the 98th Transportation Research Board Annual Meeting, Washington DC.

Drabicki A., Kucharski R. and Cats O. (2019). “Investigating the Effects of Real-Time Crowding Information (RTCI) Systems in Urban Public Transport under Different Demand Conditions”. TransitData2019, Paris. July 2019.

Laskaris G., Rinaldi M., Cats O., Jenelius E. and Viti F. (2019). Multiline Holding based Control for Lines Merging to a Shared Transit Corridor. Transportmetrica B. In press.

van der Werff E., van Oort N., Cats O. and Hoogendoorn S. (2019). Robust Control for Regulating Frequent Bus Services: Supporting the Implementation of Headway-based Holding Strategies. Proceedings of the 98th Transportation Research Board Annual Meeting, Washington DC.

2018

Cats O. and Gluck S. “Frequency and Vehicle Capacity Determination using a Dynamic Transit Assignment Model”. Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia. July 2018.

Cats O. “Frequency and Vehicle Capacity Determination using a Dynamic Transit Assignment Model”. OR 2018: International Conference on Operations Research, Brussels, Belgium. September 2018.

Drabicki A., Kucharski R., Cats O. and Szarata A. “Investigation of Instantaneous Effects of Real-time Crowding Information (RTCI) Availability upon Urban Public Transport System Performance – Results from a Simulation-based Case Study”. 7th European Symposium on Quantitative Methods in Transportation Systems (hEART), Athens, Greece, September 2018.

Gavriilidou A. and Cats O. (2018). Reconciling Transfer Synchronization and Service Regularity: Real-time Control Strategies using Passenger Data. Transportmetrica A, Accepted.

Hatzenbühler J., Jenelius E. and Cats O. “Determining the Optimal Allocation of Automated Buses”. 7th European Symposium on Quantitative Methods in Transportation Systems (hEART), Athens, Greece, September 2018.

Imran, A.M. (2018). “Combination of Headway Control Strategy for Regularity-based Transit Operation”. MSc thesis TU Delft.

Laskaris G., Cats O., Jenelius E., Rinaldi M. and Viti F. (2018). A Holding Control Strategy for Diverging Bus Lines. Proceedings of the Conference on Advanced Systems in Public Transport (CASPT), Brisbane, Australia.

Laskaris G., Cats O., Jenelius E., Rinaldi M. and Viti F. “Real Time Multiline Holding Control for Networks with Shared Transit Corridor”. 7th European Symposium on Quantitative Methods in Transportation Systems (hEART), Athens, Greece, September 2018.

Malandri C., Fonzone A. and Cats O. (2018). Recovery Time and Propagation Effects of Passenger Transport Disruption. Physica A, 505, 7-17.

Peftitsi M., Jenelius E. and Cats O. (2018). Determinants of Passengers’ Metro Car Choice Revealed through Automated Data Sources: A Stockholm Metro Case Study. Proceedings of the Conference on Advanced Systems in Public Transport (CASPT), Brisbane, Australia.

Smart Public Transport Lab

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Contact:
 Phone: +31 (0)6 15908644
 E-mail: smartptlab@tudelft.nl

Address:
 P.O. Box 5048
 2600 GA Delft

Visiting address:
 Building 23
 
Stevinweg 1
 2628 CN Delft