CVS prize for a study on the costs and benefits of network designs for the European high-speed rail network

Congrats Jorik Grolle for winning the second prize for his graduation thesis at the CVS transport colloquium! Jorik studied the costs and benefits of network designs for the European high-speed rail network.

Read more here in English or Dutch.

Thredbo and mobil.TUM best paper awards

Pleased that the following two papers presented in two recent conferences have been awarded as follows:
– “What is the Disutility of Sharing a Ride? – Willingness to Share in DRT Services” presented by Maria Alonso Gonzalez.
received the Michael Beesley Award to the best paper led by an early stage career at the Thredbo (International Conference Series on Competition and Ownership in Land Passenger Transport) conference in Singapore

– “Impact of Autonomous Vehicle Deployment on Demand for Line-Based Public Transport Services” presented by Jonas Hatzenbühler received the ITS Bavaria Best Paper Award at mobil.TUM conference in Munich

TRB 2018

Looking forward to meeting many colleagues and friends at the Transportation Research Board (TRB) 97th Annual Meeting in Washington DC next week (January 7-11)!

The following studies which I have been involved in together with students and colleagues will be presented at TRB this year:

  1. The Potential of Demand Responsive Transport as a Complement to Public Transport: An Assessment Framework and an Empirical Evaluation. (Session 293, Monday 10:15 AM- 12:00 PM Convention Center, 147A) Alonso-Gonzalez M., Liu T., Cats O., van Oort N. and Hoogendoorn S.
  2. Individual, Travel and Bus Stop Characteristics Influencing Traverlers’ Safety Perceptions. (Session 556, Tuesday 10:15 AM- 12:00 PM Convention Center, 143B) Abenoza R.F., Ceccato V., Susilo Y. and Cats O.
  3. Constructing Spatiotemporal Load Profiles of Transit Vehicles with Multiple Data Sources. (Session 649, Tuesday 1:30 PM- 3:15 PM Convention Center, Hall E) Lou D., Bonnetain L., Cats O. and van Lint H.
  4. Strategic Planning and Prospects of Rail-bound Demand Responsive Transit. (Session 660, Tuesday 1:30 PM- 3:15 PM Convention Center, Hall E) Cats O. and Haverkamp J.
  5. Demand-anticipatory Flexible Public Transport Service. (Session 784, Tuesday 8:00 AM- 9:45 PM Convention Center, Hall E) van Engelen M., Cats O., Post H. and Aardal K.

In addition, will be presiding:

  • Poster session 650 on Transit Service Disruptions: Impacts and Mitigation Measures (Tuesday 1:30 PM- 3:15 PM, Convention Center, Hall E)
  • Poster session 651 on Economic and Optimization Models for Integrated Service Planning (Tuesday 1:30 PM- 3:15 PM, Convention Center, Hall E)

In conjunction with the TRB conference, Jaime Soza Parra and I meet with Washington Metropolitan Area Transit Authority on Jan 11 to present and discuss the preliminary results of our evaluation of their headway-control experiment.

Working paper on Rail-bound Demand Responsive Tranit

New working paper entitled “Optimal Infrastructure Capacity for Rail-bound Demand Responsive Transit” is now available. Click here for full paper: Rail DRT

Abstract: Fully-automated services allow for greater flexibility in operations and lower marginal operational costs. The objective of this study is to determine the capacity requirements of an envisaged automated rail demand responsive transit (DRT) system which offers a direct non-stop service. An optimization model for determining the optimal track and station platform capacities for a rail-DRT system so that passenger, infrastructure and operational costs are minimized is formulated. The macroscopic model allows for studying the underlying relations between technological, operational and demand parameters, optimal capacity settings and the obtained cost components. The model is applied to a series of numerical experiments followed by its application to part of the Dutch railway network. The results of the numerical experiments and the case study application indicate that – unlike conventional rail systems in which stations often are capacity bottlenecks – link capacity properties are more critical for the performance of automated rail-DRT systems than station capacity. The performance is benchmarked against the existing service suggesting that in-vehicle times can be reduced by 10% in the case study network with the optimal link and station capacity allocation comparable to those currently available in this heavy rail network. A series of sensitivity analyses was performed to test the consequences of network and demand settings as well as the characteristics of future automated rail-DRT systems.