Calibration results of 4I-IDM model parameters.

<div><p>Different micro-meteorological conditions can affect a driver’s judgment of road conditions, leading to changes in following behavior. On rainy days, water films on the road reduce traction, increasing the likelihood of hydroplaning and traffic accidents. While there are existing...

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Bibliographic Details
Main Author:	Jian Ma (170138) (author)
Other Authors:	Yuchen Zhang (524816) (author), Liyan Zhang (322168) (author), Zongwei Gao (21672960) (author), Keyi Cao (21672963) (author), Qianlong Fu (21672966) (author), Zheng Qian (10940844) (author)
Published:	2025
Subjects:	Neuroscience Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified iot technology support achieve fine management &# 955 ;, road reduce traction refined traffic management establish corresponding models various weather conditions driver &# 8217 existing following models intelligent driver model parameter calibration results study following behavior &# 8217 following behavior road conditions traffic accidents parameter calibration new models intelligent transportation following vehicles following distance meteorological conditions wiedemann99 models wiedemann99 model water films vehicle states time monitoring theoretical basis standard deviation simulation validation rainy days performance indicators paper focuses meteorological factors fit function driving paths dispersed compared choose speed average error
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Calibration results of 4I-IDM model parameters.

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