442 citations · 637 across the 13 of their papers we have counts for
13 papers
Impact of Acceleration/deceleration Limits on the String Stability of Adaptive Cruise Control
Hao Zhou, Anye Zhou, Tienan Li +3
This paper demonstrates that the acceleration/deceleration limits in ACC systems can make a string stable ACC amplify the speed perturbation in natural driving. It is shown that th…
Significance of Low-level Controller for String Stability under Adaptive Cruise Control
Hao Zhou, Anye Zhou, Tienan Li +3
Current commercial adaptive cruise control (ACC) systems consist of an upper-level planner controller that decides the optimal trajectory that should be followed, and a low-level c…
Incentive-based Decentralized Routing for Connected and Autonomous Vehicles using Information Propagation
Chaojie Wang, Srinivas Peeta, Jian Wang
Routing strategies under the aegis of dynamic traffic assignment have been proposed in the literature to optimize system performance. However, challenges have persisted in their de…
Predicting Station-Level Bike-Sharing Demands Using Graph Convolutional Neural Network
Lei Lin, Weizi Li, Srinivas Peeta
This study proposes a novel Graph Convolutional Neural Network with Data-driven Graph Filter (GCNN-DDGF) model that can learn hidden heterogeneous pairwise correlations among stati…
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion
Hao Zhou, Jorge Laval, Anye Zhou +4
Self-driving technology companies and the research community are accelerating their pace to use machine learning longitudinal motion planning (mMP) for autonomous vehicles (AVs). T…
Multiclass Information Flow Propagation Control under Vehicle-to-Vehicle Communication Environments
Jian Wang, Srinivas Peeta, Lili Lu +1
Most existing models for information flow propagation in a vehicle-to-vehicle (V2V) communications environment are descriptive. They lack capabilities to control information flow,…