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Cited by 95Transportation Planning and OptimizationTraffic control and managementTraffic Prediction and Management Techniques

The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.

A predictive-control framework to address bus bunching

Andres, Matthias, Nair, Rahul·2017·Transportation Research Part B: Methodological

Overview

Integrity signals

Registry

Crossref · 10.1016/j.trb.2017.06.013

Cites

101 of 101 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Citations

Cites

Show all 101 references

Research works printed but not linked: 2

  1. Bronstein, 2012, vol. 1
  2. Pyle, 1999, vol. 1

Cited by

Metadata

Authors
Andres, M., & Nair, R.
Affiliations
  • University of Kaiserslautern (DE)
  • IBM (Ireland) (IE)
Corresponding author
Nair, Rahul
Venue
Transportation Research Part B: Methodological
Publisher
Elsevier BV
Published
2017-10
Volume
104
Pages
123-148
ISSN
0191-2615 (ISSN-L)
OpenAlex
W2729922683
Cited by
95
References
101
Citations by year
2026: 3 · 2025: 10 · 2024: 12 · 2023: 7 · 2022: 12 · 2021: 9 · 2020: 16 · 2019: 16 · 2018: 9 · 2017: 1
FWCI
11.26
Type
journal article
Language
en
Open access
closed
Locations
  • Transportation Research Part B Methodological (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Transportation › Transportation Planning and Optimization
  • Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
  • Social Sciences › Transportation › Traffic Prediction and Management Techniques
Keywords
bus bunching, predictive control, transit operations

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 ›

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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.