The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Predicting motor vehicle collisions using Bayesian neural network models: An empirical analysis
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
Cites
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
Regression Analysis of Count Data
Cameron, A. C., & Trivedi, P. K. (2013) · doi:10.1017/cbo9781139013567 · Cited by 6,640
Lord, D., Washington, S. P., & Ivan, J. N. (2005) · Accident Analysis & Prevention · doi:10.1016/j.aap.2004.02.004 · Cited by 870
Self-citationMiaou, S.-P. (1994) · Accident Analysis & Prevention · doi:10.1016/0001-4575(94)90038-8 · Cited by 770
Effect of roadway geometrics and environmental factors on rural freeway accident frequencies
Shankar, V., Mannering, F., & Barfield, W. (1995) · Accident Analysis & Prevention · doi:10.1016/0001-4575(94)00078-z · Cited by 718
Modeling vehicle accidents and highway geometric design relationships
Miaou, S.-P., & Lum, H. (1993) · Accident Analysis & Prevention · doi:10.1016/0001-4575(93)90034-t · Cited by 536
Lee, J., & Mannering, F. (2002) · Accident Analysis & Prevention · doi:10.1016/s0001-4575(01)00009-4 · Cited by 491
Milton, J., & Mannering, F. (1998) · Transportation · doi:10.1023/a:1005095725001 · Cited by 437
Delen, D., Sharda, R., & Bessonov, M. (2006) · Accident Analysis & Prevention · doi:10.1016/j.aap.2005.06.024 · Cited by 432
Miaou, S., & Lord, D. (2003) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/1840-04 · Cited by 388
Self-citation
Cited by
Machine learning applied to road safety modeling: A systematic literature review
Silva, P. B., Andrade, M., & Ferreira, S. (2020) · Journal of Traffic and Transportation Engineering (English Edition) · doi:10.1016/j.jtte.2020.07.004 · Cited by 162
Mazloumi, E., Rose, G., Currie, G., & Moridpour, S. (2011) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2010.11.004 · Cited by 133
Artificial intelligence techniques for driving safety and vehicle crash prediction
Halim, Z., Kalsoom, R., Bashir, S., & Abbas, G. (2016) · Artificial Intelligence Review · doi:10.1007/s10462-016-9467-9 · Cited by 110
Metadata
- Authors
- Xie, Y., Lord, D., & Zhang, Y.
- Venue
- Accident Analysis & Prevention
- Publisher
- Elsevier BV
- Published
- 2007-09
- Volume
- 39
- Issue
- 5
- Pages
- 922-933
- ISSN
- 0001-4575 (ISSN-L)
- OpenAlex
- W611410354
- Cited by
- 253
- References
- 32
- FWCI
- 38.46
- 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: Predicting motor vehicle collisions using Bayesian neural network models: An empirical analysis. https://app.cochat.ai/papers/10.1016/j.aap.2006.12.014
- The paper
- Xie, Y., Lord, D., & Zhang, Y. (2007). Predicting motor vehicle collisions using Bayesian neural network models: An empirical analysis. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2006.12.014
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.
