activity
20182026
most citedSmoothing Traffic Flow via Control of Autonomous Vehicles

190 citations · 744 across the 35 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.RO2023★ 1 cited

UAV Path Planning for Object Observation with Quality Constraints: A Dynamic Programming Approach

Jiawei Wang, Weiwei Wu, Yijing Wang +2

This paper addresses a UAV path planning task that seeks to observe a set of objects while satisfying the observation quality constraint. A dynamic programming algorithm is propose…

math.OC2023★ 1 cited

Smoothing Mixed Traffic with Robust Data-driven Predictive Control for Connected and Autonomous Vehicles

Xu Shang, Jiawei Wang, Yang Zheng

The recently developed DeeP-LCC (Data-EnablEd Predictive Leading Cruise Control) method has shown promising performance for data-driven predictive control of Connected and Autonomo…

eess.SY2023

Learning Optimal Robust Control of Connected Vehicles in Mixed Traffic Flow

Jie Li, Jiawei Wang, Shengbo Eben Li +1

Connected and automated vehicles (CAVs) technologies promise to attenuate undesired traffic disturbances. However, in mixed traffic where human-driven vehicles (HDVs) also exist, t…

cs.RO2023★ 1 cited

Feasibility of Local Trajectory Planning for Level-2+ Semi-autonomous Driving without Absolute Localization

Sheng Zhu, Jiawei Wang, Yu Yang +1

Autonomous driving has long grappled with the need for precise absolute localization, making full autonomy elusive and raising the capital entry barriers for startups. This study d…

eess.SY2023

Information Flow Topology in Mixed Traffic: A Comparative Study between "Looking Ahead" and "Looking Behind"

Shuai Li, Haotian Zheng, Jiawei Wang +4

The emergence of connected and automated vehicles (CAVs) promises smoother traffic flow. In mixed traffic where human-driven vehicles (HDVs) also exist, existing research mostly fo…