ECOPT intends to organize several small workshops with both a scientific speaker and a speaker from practice throughout the year. The next workshop takes place on July 9, 2019, at the Erasmus University Rotterdam.
Speakers and program
The speakers in this workshop are:
- Evelien van der Hurk (Technical University of Denmark, Copenhagen)
- Richard Both (RET, Rotterdam)
The program is as follows.
|13:45 - 14:00||Welcome|
|14:00 - 15:00||Richard Both||Using simulation tools and big data for robust timetabling in the metro network|
|15:00 - 15:30||Break|
|15:30 -16:30||Evelien van der Hurk||Including dynamic passenger route choice in timetable optimization: the comparison of several heuristics.|
Richard Both: Using simulation tools and big data for robust timetabling in the metro network
Over the last fifty years the metro network of Rotterdam has expanded from a single line to a complex network of five lines interacting with other operators. The RET (Rotterdam public transport) operates the metro in the area of Rotterdam. To keep the quality of the timetable at a high level it is important to constantly monitor the planning process. To this purpose two analytic methods are used: big data analysis and timetable simulation using OpenTrack.
In this talk we will give you insights in some problems that we are currently facing and models that we have created over the last years.
Evelien van der Hurk: Including dynamic passenger route choice in timetable optimization: the comparison of several heuristics.
Designing a public transport timetable that maximizes passenger service is an intricate problem as passenger route choice, and thereby passenger service, depends on the timetable.
In this talk, I will discuss results of the comparison of several heuristics for including dynamic passenger route choice in timetable optimization. Provided an initial timetable, the heuristic allows small changes to the timetable to maximize passenger service in terms of weighted travel time. We demonstrate, by a small example, that providing the exact route choice in the initial timetable may prohibit finding the optimal timetable. We compare several heuristics for the inclusion of non-static dynamic route choice in this timetabling problem and discuss results based on a realistic case study of the Greater Copenhagen area, where we evaluate the passenger service of timetables through a state-of-the-art stochastic route choice model.
Venue: EUR campus Woudestein, Mandeville Building T3-16. Directions on how to get to the campus and a map of the campus can be found here.
Registration: Participation in the workshop is free. However, only a limited number of places are available. Therefore, we ask you to register for the workshop by sending an email to email@example.com. Registrations will be served on a first-come-first-serve basis.