Citation notice #9654 · 2026-08-11 06:34:47.223789+00:00
Processing and Analyzing Real-World Driving Data: Insights on Trips, Scenarios, and Human Driving Behaviors
cites Transportation Research Part C: Emerging Technologies 65, 31–48, which carries a correction notice dated 2017-12-07. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
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01Evidence
Raw extraction · citation context · bibliography index 14
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)
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1016/j.trc.2016.01.001
- Notice DOI
- 10.1016/j.trc.2017.11.020
- Date
- 2017-12-07
- Title
- Corrigendum to “Fuel economy testing of autonomous vehicles” [Transp. Res. Part C: Emerging Technol. 65 (2016) 31–48]
- Reasons
- ['Erratum']
- Work
- Transportation Research Part C: Emerging Technologies 65, 31–48 (2016)
03Dispute this notice
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