4 papers
Human adaptive variability stabilises collective traffic dynamics
Shirui Zhou, Ching Jin, Junfang Tian +5
Automated systems are often designed on the assumption that replacing human behavioural variability with precise, uniform algorithmic control improves collective performance. In au…
The Moving Target of Urban Equity: Spatiotemporal Demand and Double Disadvantage in Hefei, China
Shirui Zhou, Matteo Bruno, Mattia Mazzoli +5
Equitable access to essential urban services is a pillar of modern planning, yet most accessibility models rely strictly on static residential locations, ignoring how demand shifts…
Twenty-Five Years of the Intelligent Driver Model: Foundations, Extensions, Applications, and Future Directions
Shirui Zhou, Shiteng Zheng, Junfang Tian +2
The Intelligent Driver Model (IDM), proposed in 2000, has become a foundational tool in traffic flow modeling, renowned for its simplicity, computational efficiency, and ability to…
A Driving Regime-Embedded Deep Learning Framework for Modeling Intra-Driver Heterogeneity in Multi-Scale Car-Following Dynamics
Shirui Zhou, Jiying Yan, Junfang Tian +3
A fundamental challenge in car-following modeling lies in accurately representing the multi-scale complexity of driving behaviors, particularly the intra-driver heterogeneity where…