Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 159

The DOI matches its Crossref record.

Mobile Phones as Traffic Probes: Practices, Prospects and Issues

Rose, Geoff·2006·Transport Reviews

Abstract

The provision of road‐based travel‐time information often relies on speed data collected from inductive loops imbedded in the pavement. While inductive loops are commonly installed on urban freeways, they are neither configured nor ideally located to provide speed data on arterial roads. Dissemination of dynamic, network‐wide travel information to road users is, therefore, likely to require alternative data collection techniques. This review considers the state of practice in relation to using mobile phones as traffic probes, assesses the prospects for this data collection option and identifies unresolved issues that may have implications for obtaining real‐time traffic information using mobile phones as probes. The use of mobile phones as traffic probes is appealing because the necessary infrastructure is already in place in most urban areas. Traffic speed information can be obtained by passively monitoring data transmission in the mobile phone network. International experience provides encouraging signs about the potential of mobile phones as traffic probes. Issues still to be resolved include potential public concerns about privacy, growing awareness of the road safety implications of mobile phone use and the need to understand better the quality of the data obtained from mobile phone probes.

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 · 10.1080/01441640500361108

Cites

Statistics

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

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

Cited by

See all 159

Metadata

Authors
Rose, G.
Venue
Transport Reviews
Published
2006-05
Volume
26
Issue
3
Pages
275-291
ISSN
  • 0144-1647 (ISSN-L)
  • 1464-5327
OpenAlex
W2031767866
Cited by
159
References
0
FWCI
13.16
Type
journal article
Language
en
Open access
closed

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: Mobile Phones as Traffic Probes: Practices, Prospects and Issues. https://app.cochat.ai/papers/10.1080/01441640500361108
The paper
Rose, G. (2006). Mobile Phones as Traffic Probes: Practices, Prospects and Issues. Transport Reviews. https://doi.org/10.1080/01441640500361108

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.