Evaluation of the Use of an Intelligent System in the Calibration of a Refined Car-Following Model
Author:
Affiliation:
1. Politehnica University of Timișoara,Computer and Information Technology Department,Timișoara,România
2. Politehnica University of Timișoara,Automation and Applied Informatics Department,Timișoara,România
Funder
European Social Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10029344/10029402/10029500.pdf?arnumber=10029500
Reference20 articles.
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3. Nonstationary Kalman Filter for Estimation of Accurate and Consistent Car-Following Data
4. Kalman filtering for continuous-time uncertain systems with Markovian jumping parameters
5. Sunrise and sunset times in Timi?oara, August 2019,2022
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1. Visual Analysis of the Bibliometric Data Associated with the Calibration of Car-Following Models;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29
2. Mamdani vs. Takagi–Sugeno Fuzzy Inference Systems in the Calibration of Continuous-Time Car-Following Models;Sensors;2023-10-28
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