• Home
  • Publications
  • A Framework to Characterise, Estimate, and Predict Vehicle Class-Agnostic …

A Framework to Characterise, Estimate, and Predict Vehicle Class-Agnostic Traffic States and Class-Wise Speeds for Mixed Traffic Conditions

Authors
Abirami Krishna Ashok , Bhargava Rama Chilukuri
Published In
IEEE Access, vol. 12, p. 106211-106235

A. Krishna Ashok and B. Rama Chilukuri, “A Framework to Characterise, Estimate, and Predict Vehicle Class-Agnostic Traffic States and Class-Wise Speeds for Mixed Traffic Conditions,” in IEEE Access, vol. 12, pp. 106211-106235, 2024, doi: 10.1109/ACCESS.2024.3437172. keywords: {Predictive models;Vehicle dynamics;Roads;Probes;Data models;Parametric statistics;Kalman filters;Traffic control;Mixed traffic;speed-based state characterisation;class-wise speeds;travel-time data;traffic state prediction},

Published paper: https://ieeexplore.ieee.org/abstract/document/10620193