Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment

Research article (PROMET - Traffic&Transportation, 2021) · cited 10× · AI/ML
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Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment

Summary

Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment is a scholarly article[1].

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  • Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment's instance of is recorded as scholarly article[2].

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment. Retrieved May 24, 2026, from https://4ort.xyz/entity/extreme-gradient-boosting-xgboost-model-for-vehicle-trajectory-prediction-in-connected-and-autonomous-vehicle-environmen
MLA “Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extreme-gradient-boosting-xgboost-model-for-vehicle-trajectory-prediction-in-connected-and-autonomous-vehicle-environmen.
BibTeX @misc{4ortxyz_extreme-gradient-boosting-xgboost-model-for-vehicle-trajectory-prediction-in-connected-and-autonomous-vehicle-environmen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment}}, year = {2026}, url = {https://4ort.xyz/entity/extreme-gradient-boosting-xgboost-model-for-vehicle-trajectory-prediction-in-connected-and-autonomous-vehicle-environmen}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment — https://4ort.xyz/entity/extreme-gradient-boosting-xgboost-model-for-vehicle-trajectory-prediction-in-connected-and-autonomous-vehicle-environmen (retrieved 2026-05-24)

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