Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 90Transportation and Mobility InnovationsTransportation Planning and OptimizationTraffic control and management

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

On the use of reservation-based autonomous vehicles for demand management

Open access
Lamotte, Raphaël, de Palma, André, Geroliminis, Nikolas·2017·Transportation Research Part B: Methodological

Overview

Integrity signals

Registry

Crossref · 10.1016/j.trb.2017.01.003

Cites

54 of 54 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.

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?

Citations

Cites

Show all 54 references

Research works printed but not linked: 1

  1. Surowiecki, 2014, In Praise of Efficient Price Gouging, MIT Technology Review

Cited by

See all 90

Metadata

Authors
Lamotte, R., de Palma, A., & Geroliminis, N.
Affiliations
  • École Polytechnique Fédérale de Lausanne (CH)
  • École Normale Supérieure Paris-Saclay (FR)
Corresponding author
Geroliminis, Nikolas
Venue
Transportation Research Part B: Methodological
Publisher
Elsevier BV
Published
2017-05
Volume
99
Pages
205-227
ISSN
0191-2615 (ISSN-L)
OpenAlex
W2583799593
Cited by
90
References
54
Citations by year
2026: 14 · 2025: 8 · 2024: 12 · 2023: 8 · 2022: 11 · 2021: 13 · 2020: 10 · 2019: 7 · 2018: 5 · 2017: 2
FWCI
4.17
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Transportation Research Part B Methodological (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Transportation › Transportation and Mobility Innovations
  • Social Sciences › Transportation › Transportation Planning and Optimization
  • Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
Keywords
autonomous vehicles, demand management, Mobility as a Service, departure time choice, capacity allocation, mixed traffic, Pareto improvement, social costs, social welfare maximization, profit maximization, cost of cooperation

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: On the use of reservation-based autonomous vehicles for demand management. https://app.cochat.ai/papers/10.1016/j.trb.2017.01.003
The paper
Lamotte, R., de Palma, A., & Geroliminis, N. (2017). On the use of reservation-based autonomous vehicles for demand management. Transportation Research Part B: Methodological. https://doi.org/10.1016/j.trb.2017.01.003

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.