PhD defense and TRAIL seminar

Congratulations Dr. Nadjla Ghaemi for successfully defending your PhD dissertation on “Short-turning Trains during Full Blockage in Railway Disruption Management” today!

Nadjla’s PhD work has been published in the following journal publications:

Ghaemi N., Cats O. and Goverde R.M.P. (2018). Macroscopic multiple-station short-turning model in case of complete railway blockagesTransportation Research Part C, 89, 113-132.

Ghaemi N., Cats O. and Goverde R.M.P. (2017). A Microscopic Model for Optimal Train Short-Turnings during Complete BlockagesTransportation Research Part B, 105, 423-437.

Ghaemi N., Zilko A., Yan F., Cats O., Kurowicka D. and Goverde R.M.P. (2018). Impact of Railway Disruption Predictions and Rescheduling on Passenger Delays. Journal of Rail Transport Planning & Management. Accepted.

Ghaemi N., Cats O. and Goverde R.M.P. (2017). Railway Disruption Management Challenges and Possible Solution DirectionsPublic Transport, 9 (1-2), 343-364.

The defense was followed by a TRAIL seminar where I gave a talk on “Robust passenger transport systems: Network, operations and user adaptations”

New tool: Visum -> BusMezzo network importer!

Network coding is a crucial and often time consuming preparation step when working with transport simulation and assignment models.

Rafał Kucharski and Arkadiusz Drabicki from Politechnika Krakowska have developed a tool for importing networks from Visum (PTV product) to BusMezzo.

The tool is available on Github, see the README.md for important notes on how to use it: Network importer on Github

Note that since Visum allows importing networks from GTFS, you can convert GTFS networks to BM networks via Visum. Of course, you may be interested in specifying  additional input, depending on the application.

For more information on BusMezzo see:

BusMezzo

ITS Berkeley seminar

Monday, April 16, 2018 – , 1:00pm to 2:00pm, 212 O’Brien Hall

ITS Berkeley seminar announcement

Seminar abstract: The metropolitan passenger transport landscape is shifting due to a combination of technological and social developments which enable both service providers and service users to become increasingly adaptive. Service providers can manage their resources to better cater for prevailing demand patterns, while service users can adjust their behaviour in response to real-time information. In this seminar, I will present our work on modelling system dynamics and the interaction between supply and demand under uncertainty in relation to tactical planning (e.g. fleet size and composition, frequency setting) and real-time management (e.g. trip dispatcher, disruption management) of fixed line-based as well as flexible on-demand services.