Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 28

The DOI matches its Crossref record.

Bus Control Strategy Application: Case Study of Santiago Transit System

Lizana, Pedro, Muñoz, Juan Carlos, Giesen, Ricardo, Delgado, Felipe·2014·Procedia Computer Science
DOI 10.1016/j.procs.2014.05.440
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.procs.2014.05.440

Cites

Statistics

Figures

Fig. 1 Transit irregularity fines for 210-inbound service (in $USD) during morning peak period (6:30-9:30).
Fig. 1 Transit irregularity fines for 210-inbound service (in $USD) during morning peak period (6:30-9:30).CC-BY-NC-ND · From the PDF
Fig. 2 Android application interface views (in Spanish): driver ok, should slow down, increase speed and holding countdown at bus stop.
Fig. 2 Android application interface views (in Spanish): driver ok, should slow down, increase speed and holding countdown at bus stop.CC-BY-NC-ND · From the PDF
Fig. 3 Bus trajectories for days with control (top: January 24; middle: January 28) and day without control (bottom: January 31) in J18 outbound.
Fig. 3 Bus trajectories for days with control (top: January 24; middle: January 28) and day without control (bottom: January 31) in J18 outbound.CC-BY-NC-ND · From the PDF

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 16

  1. Eberlein XJ, Wilson NHM, Bernstein D. The holding problem with real-time information available. Transportation Science 2001; 35(1), 1-18. · DOI
  2. Sun A, Hickman M. The holding problem at multiple holding stations. In: Hickman M, Mirchandani P, Voss S (eds.) Computer-aided Systems in Public Transport. Springer Berlin Heidelberg; 2008. p. 339-359. · DOI
  3. Daganzo CF, Pilachowski J. Reducing bunching with bus-to-bus cooperation. Transportation Research Part B 2011; 45(1), 267-277. · DOI
  4. Fu L, Liu, Q, Calamai, P. Real-time optimization model for dynamic scheduling of transit operations. Transportation Research Record 2003; 1857, 48-55. · DOI
  5. Sun A, Hickman M. The real–time stop–skipping problem. Journal of Intelligent Transportation Systems 2005; 9(2), 91-109. · DOI
  6. Delgado F, Muñoz JC, Giesen R. How much can holding and limiting boarding improve transit performance?. Transportation Research Part B 2012; 46(9) 1202-1217. · DOI
  7. Cortés CE, Saéz D, Milla F, Nuñez A, Riquelme M. Hybrid predictive control for real-time optimization of public transport system's operations based on evolutionary multi-objective optimization. Transportation Research Part C 2010; 18 (5), 757-769. · DOI
  8. Ceder A. Bus timetables with even passenger loads as opposed to even headways. Transportation Research Record 2001; 1760, 3-9. · DOI
  9. Zhao J, Dessouky M, Bukkapatnam S. Optimal slack time for schedule-based transit operations. Transportation Science 2006; 40(4), 529-539. · DOI
  10. Barnett A. On controlling randomness in transit operations. Transportation Science 1974; 8 (2), 102-116. · DOI
  11. Turnquist M, Blume S. Evaluating potencial effectiveness of headway control strategies for transit systems. Transportation Research Record 1980; 746, 25-29.
  12. Ding Y, Chien S, 2001. Improving transit service quality and headway regularity with real-time control. Transportation Research Record 2001; 1760,161-170. · DOI
  13. Zhao J, Bukkapatnam S, Dessouky M. Distributed architecture for real-time coordination of bus holding in transit networks. IEEE Transactions on Intelligent Transportation Systems 2003; 4(1), 43-51. · DOI
  14. Bartholdi III JJ, Einstein DD. A self-coordinating bus route to resist bus bunching. Transportation Research Part B 2012; 46 (4), 481-491. · DOI
  15. Daganzo CF. A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons. Transportation Research Part B 2009; 43(10), 913-921. · DOI · Paper page
  16. Munizaga MA, Palma C. Estimation of a disaggregate multimodal public transport origin-destination matrix from passive Smart card data from Santiago, Chile. Transportation Research Part C 2012; 24, 9-18. · DOI

Cited by

Metadata

Authors
Lizana, P., Muñoz, J. C., Giesen, R., & Delgado, F.
Venue
Procedia Computer Science
Publisher
Elsevier BV
Published
2014
Volume
32
Pages
397-404
ISSN
1877-0509
DOI
10.1016/j.procs.2014.05.440
Cited by
28
References
0
Language
en
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.