Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
arXiv:1811.06395v1256 citations
Originality Synthesis-oriented
AI Analysis
This work addresses traffic modeling for urban expressways in Shanghai, but it is incremental as it applies existing models to new data without major methodological innovation.
The study calibrated and compared five car-following models using naturalistic driving data from Shanghai, finding that the intelligent driver model performed best, with significant behavioral differences observed between drivers.
Five car-following models were calibrated, validated and cross-compared. The intelligent driver model performed best among the evaluated models. Considerable behavioral differences between different drivers were found. Calibrated model parameters may not be numerically equivalent with observed ones.