1 citations · 2 across the 8 of their papers we have counts for
8 papers
A Strictly Proper Scoring-Rule Theory for Calibrating Stochastic Car-Following Models
Shirui Zhou, Shiteng Zheng, Junzhe Ding +2
Problem definition: Fixed parameters and inputs in a stochastic simulator induce a distribution over complete trajectories, not one trajectory. Calibration must assess this distrib…
A Structured Framework for Calibrating Stochastic Car-Following Models: Data Adequacy, Parameter Sensitivity, and Objective Selection
Shirui Zhou, Junzhe Ding, Junfang Tian +3
Calibrating a stochastic car-following model is harder than its deterministic counterpart: the loss itself becomes a random variable, so a favorable random realization can be mista…
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…
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…
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…
Experimental features of emissions and fuel consumption in a car-following platoon
Shirui Zhou, Ying-En Ge, Shaowei Yu +2
The paper investigates the features of emissions and fuel consumption (EFC) in a car-following (CF) platoon based on two experimental datasets. Four classical EFC models are employ…
On the calibration of stochastic car following models
Shirui Zhou, Shiteng Zheng, Martin Treiber +2
Recent experimental and empirical observations have demonstrated that stochasticity plays a critical role in car following (CF) dynamics. To reproduce the observations, quite a few…