skip to main content
Guest
e-Shelf
My Account
Sign out
Sign in
This feature requires javascript
Tags
e-Journals
e-Books
Databases
USP Libraries
Help
Help
Language:
English
Spanish
Portuguese (Brazil)
This feature required javascript
Search in:
Select the list to browse
Search For:
Clear Search Box
Search in:
By title
By subject
By author
Browse vid input
Simple Search
This feature requires javascript
Stochastic improvement of cyclic railway timetables
Kroon, Leo ; Maróti, Gábor ; Helmrich, Mathijn Retel ; Vromans, Michiel ; Dekker, Rommert
Transportation research. Part B: methodological, 2008-07, Vol.42 (6), p.553-570
[Peer Reviewed Journal]
Kidlington: Elsevier Ltd
Full text available
Citations
Cited by
View Online
Details
Reviews & Tags
More
Times Cited
This feature requires javascript
Actions
Add to e-Shelf
Remove from e-Shelf
E-mail
Print
Permalink
Citation
EasyBib
EndNote
RefWorks
Delicious
Export RIS
Export BibTeX
This feature requires javascript
Title:
Stochastic improvement of cyclic railway timetables
Author:
Kroon, Leo
;
Maróti, Gábor
;
Helmrich, Mathijn Retel
;
Vromans, Michiel
;
Dekker, Rommert
Subjects:
Applied sciences
;
Cyclic railway timetabling
;
Exact sciences and
technology
;
Ground, air and sea transportation, marine construction
;
Railway transportation and traffic
;
Stochastic Optimization
;
Transportation planning, management and economics
Is Part Of:
Transportation research. Part B: methodological, 2008-07, Vol.42 (6), p.553-570
Description:
Real-time railway operations are subject to stochastic disturbances. Thus a timetable should be designed in such a way that it can cope with these disturbances as well as possible. For that purpose, a timetable usually contains time supplements in several process times and buffer times between pairs of consecutive trains. This paper describes a Stochastic Optimization Model that can be used to allocate the time supplements and the buffer times in a given timetable in such a way that the timetable becomes maximally robust against stochastic disturbances. The Stochastic Optimization Model was tested on several instances of NS Reizigers, the main operator of passenger trains in the Netherlands. Moreover, a timetable that was computed by the model was operated in practice in a timetable experiment on the so-called “Zaanlijn”. The results show that the average delays of trains can often be reduced significantly by applying relatively small modifications to a given timetable.
Publisher:
Kidlington: Elsevier Ltd
Language:
English
Links
View record in Pascal Francis
View record in RePEc
This feature requires javascript
This feature requires javascript
Back to results list
Previous
Result
4
Next
This feature requires javascript
This feature requires javascript
Searching Remote Databases, Please Wait
Searching for
in
scope:(USP_VIDEOS),scope:("PRIMO"),scope:(USP_FISICO),scope:(USP_EREVISTAS),scope:(USP),scope:(USP_EBOOKS),scope:(USP_PRODUCAO),primo_central_multiple_fe
Show me what you have so far
This feature requires javascript
This feature requires javascript