3 citations · 3 across the 6 of their papers we have counts for
6 papers
Unveiling Traffic Wave of Linear Adaptive Cruise Control: A Second-order Macroscopic Traffic Flow Model
Zihao Li, Quyuan Lin, Fan Pu +4
Traffic waves, the spatiotemporal propagation of congestion, are a key feature of traffic flow. As Adaptive Cruise Control (ACC) systems gain widespread adoption and show promise f…
Modeling Cascading Driver Interventions in Partially Automated Traffic: A Semi-Markov Chain Approach
Zihao Li, Fan Pu, Soyoung Ahn +1
This paper presents an analytical modeling framework for partially automated traffic, incorporating cascading driver intervention behaviors. In this framework, drivers of partially…
Traffic Wave Properties for Automated Vehicles During Traffic Oscillations via Analytical Approximations
Yang Zhou, Sixu Li, Wissam Kontar +3
This paper presents an analytical approximation framework to understand the dynamics of traffic wave propagation for Automated Vehicles (AVs) during traffic oscillations. The frame…
Human-Machine Interaction in Automated Vehicles: Reducing Voluntary Driver Intervention
Xinzhi Zhong, Yang Zhou, Varshini Kamaraj +5
This paper develops a novel car-following control method to reduce voluntary driver interventions and improve traffic stability in Automated Vehicles (AVs). Through a combination o…
Understanding Heterogeneity of Automated Vehicles and Its Traffic-level Impact: A Stochastic Behavioral Perspective
Xinzhi Zhong, Yang Zhou, Soyoung Ahn +1
This paper develops a stochastic and unifying framework to examine variability in car-following (CF) dynamics of commercial automated vehicles (AVs) and its direct relation to traf…
A Generic Stochastic Hybrid Car-following Model Based on Approximate Bayesian Computation
Jiwan Jiang, Yang Zhou, Xin Wang +1
Car following (CF) models are fundamental to describing traffic dynamics. However, the CF behavior of human drivers is highly stochastic and nonlinear. As a result, identifying the…