The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data
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
Traffic Dynamics: Studies in Car Following
Chandler, R. E., Herman, R., & Montroll, E. W. (1958) · Operations Research · doi:10.1287/opre.6.2.165 · Cited by 1,458
Oehlert, G. W. (1992) · The American Statistician · doi:10.1080/00031305.1992.10475842 · Cited by 1,379
Car-following: a historical review
Brackstone, M., & McDonald, M. (1999) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/s1369-8478(00)00005-x · Cited by 1,270
A real-time computer vision system for vehicle tracking and traffic surveillance
Coifman, B., Beymer, D., McLauchlan, P., & Malik, J. (1998) · Transportation Research Part C: Emerging Technologies · doi:10.1016/s0968-090x(98)00019-9 · Cited by 624
Estimating Acceleration and Lane-Changing Dynamics from Next Generation Simulation Trajectory Data
Thiemann, C., Treiber, M., & Kesting, A. (2008) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2088-10 · Cited by 389
Control Theory for Humans: Quantitative Approaches To Modeling Performance
Jagacinski, R. J., & Flach, J. M. (2002) · CORE Scholar (Wright State University) · Cited by 299
A Safe Longitudinal Control for Adaptive Cruise Control and Stop-and-Go Scenarios
Martinez, J.-J., & Canudas-de-Wit, C. (2007) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2006.886432 · Cited by 296
THE HYSTERESIS PHENOMENON IN TRAFFIC FLOW
Treiterer, J., & Myers, J. A. (1974) · Cited by 235
Calibration and Validation of Microscopic Traffic Flow Models
Brockfeld, E., & Wagner, P. (2007) · Traffic and Granular Flow ’03 · doi:10.1007/3-540-28091-x_6 · Cited by 203
Calibration and Validation of Microscopic Traffic Flow Models
Brockfeld, E., Kühne, R. D., & Wagner, P. (2004) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/1876-07 · Cited by 190
Cited by
CommonRoad: Composable benchmarks for motion planning on roads
Althoff, M., Koschi, M., & Manzinger, S. (2017) · 2017 IEEE Intelligent Vehicles Symposium (IV) · doi:10.1109/ivs.2017.7995802 · Cited by 443
A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset
Coifman, B., & Li, L. (2017) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2017.09.018 · Cited by 414
Makridis, M., Mattas, K., Anesiadou, A., & Ciuffo, B. (2021) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2021.103047 · Cited by 258
Self-citationHuang, X., Sun, J., & Sun, J. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.07.022 · Cited by 257
Decentralized Cooperative Lane-Changing Decision-Making for Connected Autonomous Vehicles
Nie, J., Zhang, J., Ding, W., Wan, X., Chen, X., & Ran, B. (2016) · IEEE Access · doi:10.1109/access.2017.2649567 · Cited by 125
Metadata
- Authors
- Punzo, V., Borzacchiello, M. T., & Ciuffo, B.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 19
- Issue
- 6
- Pages
- 1243-1262
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2057483198
- Cited by
- 484
- References
- 12
- FWCI
- 16.34
- 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: On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data. https://app.cochat.ai/papers/10.1016/j.trc.2010.12.007
- The paper
- Punzo, V., Borzacchiello, M. T., & Ciuffo, B. (2011). On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2010.12.007
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.