Analysis of linear internal stability for mixed traffic flow of connected and automated vehicles considering multiple influencing factors
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Publication:2133079
DOI10.1016/J.PHYSA.2022.127211OpenAlexW4220668458MaRDI QIDQ2133079
Ruifa Luo, Huijun Hao, Taorang Xu, Zhihong Yao, Qiufan Gu
Publication date: 29 April 2022
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physa.2022.127211
time delaystability analysismixed traffic flowconnected and automated vehicles (CAVs)platooning intensity
Related Items (4)
Traffic safety evaluation of mixed traffic flow considering the maximum platoon size of connected automated vehicles ⋮ Research on the weaving area capacity of freeways under man-machine mixed traffic flow ⋮ Impact of beyond-line-of-sight connectivity on the capacity and stability of mixed traffic flow: an analytical and numerical investigation ⋮ Dynamic capacity estimation of mixed traffic flows with application in adaptive traffic signal control
Cites Work
- Unnamed Item
- Modeling and stability analysis of mixed traffic with conventional and connected automated vehicles from cyber physical perspective
- Analysis on traffic stability and capacity for mixed traffic flow with platoons of intelligent connected vehicles
- Linear stability analysis of heterogeneous traffic flow considering degradations of connected automated vehicles and reaction time
- Analysis of mixed traffic flow with human-driving and autonomous cars based on car-following model
- Stability analysis and the fundamental diagram for mixed connected automated and human-driven vehicles
- Analytical studies on the instabilities of heterogeneous intelligent traffic flow
- Instability of cooperative adaptive cruise control traffic flow: a macroscopic approach
- Traffic jams: dynamics and control
- Macroscopic effects of reaction time on traffic flow characteristics
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