activity
20212024
most citedTraffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs

7 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024

MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration

Xi Chen, Rahul Bhadani, Zhanbo Sun +1

The prediction of surrounding vehicle trajectories is crucial for collision-free path planning. In this study, we focus on a scenario where a connected and autonomous vehicle (CAV)…

eess.SY20247 cited

Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs

Jonathan W. Lee, Han Wang, Kathy Jang +61

The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring phenomena due to human driving behavior. These "phantom jams" or "stop-and-go waves,…

eess.SY20233 cited

Traffic smoothing using explicit local controllers

Amaury Hayat, Arwa Alanqary, Rahul Bhadani +16

The dissipation of stop-and-go waves attracted recent attention as a traffic management problem, which can be efficiently addressed by automated driving. As part of the 100 automat…

cs.RO20231 cited

Prototyping Vehicle Control Applications Using the CAT Vehicle Simulator

Rahul Bhadani, Jonathan Sprinkle

This paper demonstrates the integration model-based design approaches or vehicle control, with validation in a freely available open-source simulator. Continued interest in autonom…

eess.SY2021

Reachability Analysis for FollowerStopper: Safety Analysis and Experimental Results

Fang-Chieh Chou, Marsalis Gibson, Rahul Bhadani +2

Motivated by earlier work and the developer of a new algorithm, the FollowerStopper, this article uses reachability analysis to verify the safety of the FollowerStopper algorithm,…