32 citations · 130 across the 27 of their papers we have counts for
29 papers
CAV Traffic Control to Mitigate the Impact of Congestion from Bottlenecks: A Linear Quadratic Regulator Approach and Microsimulation Study
Suyash C. Vishnoi, Junyi Ji, MirSaleh Bahavarnia +4
This work investigates traffic control via controlled connected and automated vehicles (CAVs) using novel controllers derived from the linear-quadratic regulator (LQR) theory. CAV-…
Learning to Seek: Multi-Agent Online Source Seeking Against Non-Stochastic Disturbances
Bin Du, Kun Qian, Christian Claudel +1
This paper proposes to leverage the emerging~learning techniques and devise a multi-agent online source {seeking} algorithm under unknown environment. Of particular significance in…
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings
Abduallah Mohamed, Jundi Liu, Linda Ng Boyle +1
An ego vehicle following a virtual lead vehicle planned route is an essential component when autonomous and non-autonomous vehicles interact. Yet, there is a question about the dri…
On Differential Privacy and Traffic State Estimation Problem for Connected Vehicles
Suyash C. Vishnoi, Ahmad F. Taha, Sebastian A. Nugroho +1
This letter focuses on the problem of traffic state estimation for highway networks with junctions in the form of on- and off-ramps while maintaining differential privacy of traffi…
Traffic State Estimation for Connected Vehicles using the Second-Order Aw-Rascle-Zhang Traffic Model
Suyash C. Vishnoi, Sebastian A. Nugroho, Ahmad F. Taha +1
This paper addresses the problem of traffic state estimation (TSE) in the presence of heterogeneous sensors which include both fixed and moving sensors. Traditional fixed sensors a…
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
Abduallah Mohamed, Deyao Zhu, Warren Vu +2
Best-of-N (BoN) Average Displacement Error (ADE)/ Final Displacement Error (FDE) is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify…