The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset
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Cites
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
Self-citationPunzo, V., Borzacchiello, M. T., & Ciuffo, B. (2011) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2010.12.007 · Cited by 484
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
THE HYSTERESIS PHENOMENON IN TRAFFIC FLOW
Treiterer, J., & Myers, J. A. (1974) · Cited by 235
Video -Based Vehicle Trajectory Data Collection
Kovvali, V. G., Alexiadis, V., & Zhang, L. (2007) · Transportation Research Board 86th Annual MeetingTransportation Research Board · Cited by 87
Cited by
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Ettinger, S., Cheng, S., Caine, B., Liu, C., Zhao, H., Pradhan, S., Chai, Y., Sapp, B., Qi, C., Zhou, Y., et al. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00957 · Cited by 584
Attention Based Vehicle Trajectory Prediction
Messaoud, K., Yahiaoui, I., Verroust-Blondet, A., & Nashashibi, F. (2021) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2020.2991952 · Cited by 425
Barmpounakis, E., & Geroliminis, N. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.11.023 · Cited by 377
Graph Neural Networks for Intelligent Transportation Systems: A Survey
Rahmani, S., Baghbani, A., Bouguila, N., & Patterson, Z. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3257759 · Cited by 353
Zhan, W., Sun, L., Wang, D., Shi, H., Clausse, A., Naumann, M., Kümmerle, J., Königshof, H., Stiller, C., Fortelle, A. D. L., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.03088 · Cited by 328
Metadata
- Authors
- Coifman, B., & Li, L.
- Venue
- Transportation Research Part B: Methodological
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 105
- Pages
- 362-377
- ISSN
- 0191-2615 (ISSN-L)
- OpenAlex
- W2761568138
- Cited by
- 414
- References
- 5
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset. https://app.cochat.ai/papers/10.1016/j.trb.2017.09.018
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- Coifman, B., & Li, L. (2017). A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset. Transportation Research Part B: Methodological. https://doi.org/10.1016/j.trb.2017.09.018
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