Pith. sign in

Reference change · event page

Reference changes · DOI

Transportation Research Part C: Emerging Technologies 65, 31–48

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

This page records that a citing paper's bibliography includes a work with a published notice. It is not a judgment on the citing paper.

Correction Crossref 1 open · 1 total · 0 disputed
DOI
10.1016/j.trc.2016.01.001
Notice DOI
10.1016/j.trc.2017.11.020
Event date
2017-12-07
Machine twin
JSON

01One-hop citing occurrences

Correction Open
Processing and Analyzing Real-World Driving Data: Insights on Trips, Scenarios, and Human Driving Behaviors

ref [14] · 2501.08868 · notice #9654 · dispute

Raw extraction · citation context

Menneni, S., Sun, C., Vortisch, P., 2008. Microsimulation Calibration Using Speed-Flow Relationships. Transportation Research Record: Journal of the Transportation Research Board 2088, 1-9. doi:10.3141/2088-01. Mersky, A.C., Samaras, C., 2016. Fuel economy testing of autonomous vehicles. Transportation Research Part C: Emerging Technologies 65, 31-48. doi:10.1016/j.trc.2016.01.001. Negash, N.M., Yang, J., 2023. Driver Behavior Modeling Toward Autonomous Vehicles: Comprehensive Review. IEEE Access 11, 22788-22821. doi:10.1109/ACCESS.2023.3249144. J. Han, et al.:Preprint submitted to Elsevier Page 15 of 17 Processing and Analyzing Real-World Driving Data Algorithm 2: Slice and dice Input: 𝐤min, 𝐤max, 𝐤inf,min and 𝐤inf,max. Output: Time intervals of each scenario (𝐤0 and 𝐤f) and scenario type (𝐬).

Parser render (TeX stripped for reading; raw above is the evidence)

Menneni, S., Sun, C., Vortisch, P., 2008. Microsimulation Calibration Using Speed-Flow Relationships. Transportation Research Record: Journal of the Transportation Research Board 2088, 1-9. doi:10.3141/2088-01. Mersky, A.C., Samaras, C., 2016. Fuel economy testing of autonomous vehicles. Transportation Research Part C: Emerging Technologies 65, 31-48. doi:10.1016/j.trc.2016.01.001. Negash, N.M., Yang, J., 2023. Driver Behavior Modeling Toward Autonomous Vehicles: Comprehensive Review. IEEE Access 11, 22788-22821. doi:10.1109/ACCESS.2023.3249144. J. Han, et al.:Preprint submitted to Elsevier Page 15 of 17 Processing and Analyzing Real-World Driving Data Algorithm 2: Slice and dice Input: 𝐤min, 𝐤max, 𝐤inf,min and 𝐤inf,max. Output: Time intervals of each scenario (𝐤0 and 𝐤f) and scenario type (𝐬)

Status lifecycle on notices: open → disputed → (response attached on the notice page). Repaired counts matter as much as open counts. There is no “safe,” “invalid,” or “resolved” badge.