By Christian Liebchen, Rolf H. Möhring (auth.), Frank Geraets, Leo Kroon, Anita Schoebel, Dorothea Wagner, Christos D. Zaroliagis (eds.)
ISBN-10: 354074245X
ISBN-13: 9783540742456
ISBN-10: 3540742476
ISBN-13: 9783540742470
This cutting-edge survey good points papers that have been chosen after an open name following the overseas Dagstuhl Seminar on Algorithmic tools for Railway Optimization held in Dagstuhl fortress, Germany, in June 2004. the second one a part of the amount constitutes the refereed complaints of the 4th overseas Workshop on Algorithmic tools and types for Optimization of Railways held in Bergen, Norway, in September 2004.
The quantity covers algorithmic tools for examining and fixing difficulties bobbing up in railway optimizations, with a distinct concentrate on the interaction among railway and different public transportation structures. Beside algorithmics and mathematical optimization, the relevance of formal versions and the impact of purposes on challenge modeling also are thought of. additionally, the papers tackle experimental stories and priceless prototype implementations.
The 17 complete papers provided the following have been conscientiously reviewed and chosen from quite a few submissions and are equipped into topical sections masking community and line making plans, timetabling and timetable details, rolling inventory and group scheduling, and real-time operations.
Read or Download Algorithmic Methods for Railway Optimization: International Dagstuhl Workshop, Dagstuhl Castle, Germany, June 20-25, 2004, 4th International Workshop, ATMOS 2004, Bergen, Norway, September 16-17, 2004, Revised Selected Papers PDF
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Additional resources for Algorithmic Methods for Railway Optimization: International Dagstuhl Workshop, Dagstuhl Castle, Germany, June 20-25, 2004, 4th International Workshop, ATMOS 2004, Bergen, Norway, September 16-17, 2004, Revised Selected Papers
Example text
In total, we obtain (πj + πj ) mod T (πi + xP + πi − xP ) mod T (πi + πi ) mod T = = = s. 2 2 2 Remark 1. If the line plan of a traffic network is connected and the constraint graph is symmetric, we are able to give an even more compact characterization of symmetry. Then, a feasible tension encodes a symmetric timetable, if and only if Condition (6) is satisfied for changeover arcs and stopping arcs. In fact, in the proof of Lemma 5 we can then find a path that only uses such arcs, plus trip arcs, which we assume to have zero span.
Apart from the rather important routing requirement, which unfortunately is simply out of scope for the PESP, we will analyze a very special situation in more detail, namely the balanced reduction of service. Finally, we will introduce the important notion of symmetry. On the one hand, symmetry slightly exceeds the original PESP, but on the other hand, when added explicitly, gives rise to a mechanism to include important aspects of line planning into the very same planning step as periodic timetabling and vehicle scheduling.
Notice that bad decisions at the level of line planning may cause very bad results also for vehicle scheduling. Consider the four line segments displayed in Figure 15. We assume a period time of T = 60 minutes and a minimal turnover time of 30 minutes at each of the four terminus stations. The time for a oneway trip from the matching station to one of the endpoints is indicated at the corresponding edge. 95 80 matching station ? 60 85 Fig. 15. Line segments where only one matching provides good vehicle schedules In fact, the vehicle schedule is fixed due to the distinct endpoints.
Algorithmic Methods for Railway Optimization: International Dagstuhl Workshop, Dagstuhl Castle, Germany, June 20-25, 2004, 4th International Workshop, ATMOS 2004, Bergen, Norway, September 16-17, 2004, Revised Selected Papers by Christian Liebchen, Rolf H. Möhring (auth.), Frank Geraets, Leo Kroon, Anita Schoebel, Dorothea Wagner, Christos D. Zaroliagis (eds.)
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