1 citations · 1 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
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…
Experimental study and modeling of the lower-level controller of automated vehicle
Hua-Qing Liu, Shi-Teng Zheng, Rui Jiang +4
Accurate modeling of lower-level controller plays an important role in the traffic flow of automated vehicles (AVs). However, there lacks enough attention with this respect. To add…