Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow

J Wang, Y Lian, Y Jiang, Q Xu, K Li… - … Research Part C …, 2023 - Elsevier
Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic
flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, data …

Predictive speed harmonization using machine learning in traffic flow with connected and automated vehicles

A Elfar, A Talebpour… - Transportation research …, 2024 - journals.sagepub.com
Speed harmonization is an active traffic management strategy used to delay traffic flow
breakdown and mitigate congestion by changing speed limits throughout a road segment …

Modeling decentralized mandatory lane change for connected and autonomous vehicles: An analytical method

Z Wang, X Shi, X Zhao, X Li - Transportation research part C: emerging …, 2021 - Elsevier
Mandatory lane change (MLC) is the core of lane-specific motion planning for connected
and autonomous vehicles (CAVs). To model the MLC for CAVs, this paper presented a …

Data-driven predictive control for connected and autonomous vehicles in mixed traffic

J Wang, Y Zheng, Q Xu, K Li - 2022 American control …, 2022 - ieeexplore.ieee.org
Cooperative control of Connected and Autonomous Vehicles (CAVs) promises great
benefits for mixed traffic. Most existing research focuses on model-based control strategies …

Mixed-integer motion planning on German roads within the Apollo driving stack

T Kessler, K Esterle, A Knoll - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Traffic situations with interacting participants pose difficulties for today's autonomous
vehicles to interpret situations and eventually achieve their own mission goal. Interactive …

Cooperation of multiple connected vehicles at unsignalized intersections: Distributed observation, optimization, and control

Y Bian, SE Li, W Ren, J Wang, K Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Cooperation of connected vehicles is a promising approach for autonomous intersection
control. This article presents a systematic approach to the cooperation of connected vehicles …

Improved trajectory planning for on-road self-driving vehicles via combined graph search, optimization & topology analysis

T Gu - 2017 - search.proquest.com
Trajectory planning is an important component of autonomous driving. It takes the result of
route-level navigation plan and generates the motion-level commands that steer an …

Microsimulation of energy and flow effects from optimal automated driving in mixed traffic

T Ard, RA Dollar, A Vahidi, Y Zhang… - … Research Part C …, 2020 - Elsevier
This paper studies the energy and traffic impact of a proposed Anticipative Cruise Controller
in a PTV VISSIM microsimulation environment. We dissect our controller into two parts: 1. the …

Integrated message dissemination and traffic regulation for autonomous VANETs

YY Lin, I Rubin - IEEE Transactions on Vehicular Technology, 2017 - ieeexplore.ieee.org
Advances in autonomous vehicular technology facilitate the development of intelligent traffic
regulation systems. Such a system aims to configure and regulate vehicular mobility patterns …

A review of motion planning for highway autonomous driving

L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …