Calibration results of 4I-IDM model parameters.

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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