On some experimental features of car-following behavior and how to model them
Rui Jiang, Mao-Bin Hu, H.M.Zhang, Zi-You Gao, Bin Jia, Qing-Song Wu

TL;DR
This study investigates car-following behavior through experiments with a 25-car platoon, revealing variability in spacing at similar speeds and proposing a model that accounts for driver insensitivity in certain conditions.
Contribution
The paper extends previous experimental analysis, uncovers new findings on traffic state variability, and introduces a car-following model that better captures human driving behavior.
Findings
Traffic states occupy a 2D region in speed-spacing space
Average platoon spacing can vary significantly at the same speed
The proposed model accurately reproduces experimental results
Abstract
We have carried out car-following experiments with a 25-car-platoon on an open road section to study the relation between a car's speed and its spacing under various traffic conditions, in the hope to resolve a controversy surrounding this fundamental relation of vehicular traffic. In this paper we extend our previous analysis of these experiments, and report new experimental findings. In particular, we reveal that the platoon length (hence the average spacing within a platoon) might be significantly different even if the average velocity of the platoon is essentially the same. The findings further demonstrate that the traffic states span a 2D region in the speed-spacing (or density) plane. The common practice of using a single speed-spacing curve to model vehicular traffic ignores the variability and imprecision of human driving and is therefore inadequate. We have proposed a…
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Taxonomy
TopicsTraffic control and management · Transportation Planning and Optimization · Traffic Prediction and Management Techniques
