Project B15 – Service Design in Public Transport

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The project "Service design in public transport" is a joint project of the Coga Group of TU-Berlin and the optimization department of ZIB. The project emerged from combining the former Matheon Projects B1 "Strategic Planning in Public Transport" and B5 "Line Planning and Periodic Timetabling in Railway Traffic".

Project-Description

Service design in public transport deals with network design, line planning, timetabeling, and fare planning. These problems can be dealt with using mathematical methods. We have developped such approaches in the first Matheon funding period in two separate projects: Project B1 (Strategic Planning in public transport) studied line planning and fare planning, project B5 (Line planning and periodic timetabling in railway traffic) dealt mainly with timetabling.

Figures (a)-(c) illustrate some of the models, methods, and results of this work. Figure (a) shows a part of a timetable for the Berlin subway network, in which connections have been optimized. Figure (b) sketches a line plan with associated frequencies for the city of Potsdam, which optimizes a weighted sum of operation costs and total passenger travelling time. Figure (c) visualizes a Logit-model for passenger demand with respect to fares, which forms the basis our work on fare optimization.

Fahrplan Linienplan Nachfrage
(a) Connection optimization, (b) line planning, (c) demand with respect to prices.

Our timetabling model is based on a periodic event scheduling problem. We extended the timetable optimization by vehicle and duty scheduling aspects and tested this approach in a study for our cooperation partner ViP. Furthermore, we investigated delay resistant timetables by including certain buffer times. The line planning model integrates line planning and passenger routing and uses a column generation approach. It can be solved to near optimality for the instances provided by ViP. We are currently preparing the computation of the 2010 line plan for Potsam.

A major chanllenge in service design optimization is the consideration of passenger behavior. The level of service decides whether passengers are attracted to this system or not. Understanding and controlling the interplay between service design and passenger behavior is therefore a main goal in service planning. We will investigate these aspects in the combinatorial context of line planning.

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