The DOI matches its Crossref record.
Mobile Phones as Traffic Probes: Practices, Prospects and Issues
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.
Integrity signals
Registry
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.
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
Herrera, J. C., Work, D. B., Herring, R., Ban, X. (., Jacobson, Q., & Bayen, A. M. (2010) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2009.10.006 · Cited by 915
Autonomous shared mobility-on-demand: Melbourne pilot simulation study
Dia, H., & Javanshour, F. (2017) · Transportation Research Procedia · doi:10.1016/j.trpro.2017.03.035 · Cited by 121
Liu (2023) · doi:10.1145/3596262 · Cited by 31
Metadata
- Authors
- Rose, G.
- Venue
- Transport Reviews
- Publisher
- Informa UK Limited
- 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.