Yougang Bian

Yougang Bian
Hunan University · College of Mechanical Vehicle Engineering

Ph.D.
Recruiting excellent postdoc in the field of Connected and Automated Vehicles (CAVs).

About

56
Publications
21,809
Reads
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863
Citations
Citations since 2016
54 Research Items
859 Citations
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2016201720182019202020212022050100150200250300
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Introduction
My research interests include cooperative contorl and distributed control with their applications to connected and automated vehicles (CAVs). My email address is byg10@foxmail.com. Please feel free to contact me.
Skills and Expertise
Education
July 2014 - June 2019
Tsinghua University
Field of study
  • Mechanical Engineering
July 2010 - June 2014
Tsinghua University
Field of study
  • Automotive Engineering

Publications

Publications (56)
Article
Full-text available
Lane keeping is a key task in driving, and it plays an important role in staying safe while driving. However, conventional lane-keeping assistance systems (LKASs) have a limited level of automation, while fully autonomous lane-keeping systems have shortcomings regarding reliability. To address these issues, an advanced LKAS with two switchable assi...
Article
Full-text available
In a platoon of connected vehicles, time headway plays an important role in both traffic capacity and road safety. It is desirable to maintain a lower time headway while satisfying string stability in a platoon, since this leads to a higher traffic capacity and guarantees the disturbance attenuation ability. In this paper, we study a multiple-prede...
Article
Full-text available
Cooperation of connected vehicles is a promising approach for autonomous intersection control. This study presents a systematic approach to the cooperation of connected vehicles at unsignalized intersections without global coordination. A task-area partition framework is proposed to decompose the mission of cooperative passing into three main tasks...
Article
Full-text available
Cooperation among multiple connected vehicles (CVs) brings swarm intelligence to our transportation systems and helps improve their performance. This study proposes a fuel economy optimization approach for a platooning vehicle swarm via distributed economic model predictive control (DEMPC). Within the DEMPC framework, each CV shares its assumed tra...
Article
Full-text available
Vehicle platoon control based on vehicle-to-vehicle (V2V) communication is one of the promising technologies to improve the performance of transportation systems. This paper presents a distributed controller to optimize a vehicle platoon’s fuel consumption by combining the switching feedback control and economic model predictive control (EMPC) meth...
Article
This paper mainly attempts to discuss lag H∞ synchronization in multiple state or derivative coupled reaction–diffusion neural networks without and with parameter uncertainties. Firstly, we respectively propose two types of reaction–diffusion neural networks with multiple state and derivative couplings subject to parameter uncertainties. Secondly,...
Article
Trajectory tracking control is crucial for a remotely operated underwater vehicle (ROV), but the performance can be degraded due to disturbances, process noises, and parametric uncertainties. Therefore, a hierarchical control scheme is proposed to handle this problem. Firstly, a 4DOF kinematic model and dynamic model of the ROV are constructed. Oce...
Article
Full-text available
As one of the typical applications of connected vehicles (CVs), the vehicle platoon control technique has been proven to have the advantages of reducing emissions, improving traffic throughout and driving safety. In this paper, a unified hierarchical framework is designed for cooperative control of CVs with both heterogeneous model parameters and s...
Article
Full-text available
Purpose The purpose of this paper is to develop a real-time trajectory planner with optimal maneuver for autonomous vehicles to deal with dynamic obstacles during parallel parking. Design/methodology/approach To deal with dynamic obstacles for autonomous vehicles during parking, a long- and short-term mixed trajectory planning algorithm is propose...
Article
Full-text available
Recently, new research has emerged for signal-free intersection control via V2X technologies, and reservation-based intersection control for connected and automated vehicles (CAVs) has great potential to improve travel efficiency and traffic safety. A centralized traffic controller is the key component to coordinate movements of the approaching veh...
Preprint
p>In the foreseeable Intelligent Transportation System (ITS), Intelligent Connected Vehicles (ICVs) will play an important role in improving travel efficiency and safety. However, it is challenging for ICVs to support the resource-hungry autonomous driving applications due to the limitation of hardware computing power. Fortunately, the emergence of...
Poster
Full-text available
Call for Paper: IEEE OJ-ITS Special Section: Autonomous and Cooperative Driving in Specific Traffic Environments. Deadline: Dec. 31, 2022
Preprint
The narrow corridor is a common working scene for automated vehicles, where it is pretty challenging to plan a safe, feasible, and smooth trajectory due to the narrow passable area constraints. This paper presents a space discretization-based optimal trajectory planning method for automated vehicles in a narrow corridor scene with the consideration...
Article
Full-text available
For the sake of safety, the vehicle path tracking control should not only ensure the stability of the path tracking error containing the lateral offset and the orientation error but also guarantee that both the transient and steady states of the lateral offset are within a specified safe boundary. However, the time‐varying uncertainties of a vehicl...
Article
Full-text available
In this article, an adaptive dynamic programming (ADP) scheme utilizing a costate function is proposed for optimal control of unknown discrete-time nonlinear systems. The state-action data are obtained by interacting with the environment under the iterative scheme without any model information. In contrast with the traditional ADP scheme, the colle...
Chapter
Full-text available
Considering heterogeneous general linear multiagent systems with an input-bounded leader, the focuses on the event-triggered output tracking problem is studied in this paper. The leader considered here has a nonzero and time-varying control input that is unavailable to any followers. In order to achieve output tracking, a hierarchical framework inc...
Preprint
Full-text available
Parking difficulties have become a social issue that people have to solve. Automated parking system is practicable for quick parking operations without a driver which can also greatly reduces the probability of parking accidents. The paper proposes an Lyapunov-based nonlinear model predictive controller embedding an instructable solution which is g...
Article
Full-text available
The emerging connected automated vehicle (CAV) technique brings a new opportunity for the development of cooperative collision avoidance systems. This paper proposes a distributed coordinated brake control (DCBC) algorithm for longitudinal collision avoidance of multiple CAVs. Firstly, the studied scenario is defined, within which the communication...
Article
Full-text available
This paper proposes a tracking method aiming at trajectory tracking for a remotely operated underwater vehicle (ROV) under external disturbances and measurement noises. Firstly, the six-degree-of-freedom kinematics model and dynamics model of the ROV are proposed to derive the discrete-time varying nonlinear model, where the Euler method is used an...
Article
Full-text available
The connected vehicle (CV) technology is emerging in recent years. This paper studies cooperative startup control of heterogeneous CVs in a platoon. First, from the perspective of cooperative tracking of heterogeneous multi-agent systems, a hierarchical finite-time control framework is established, which composes of an upper-level interactive obser...
Article
Full-text available
This paper presents a method to dynamically harmonize the behaviors of cyclic vehicular platoons in a closed road network. Different from the open-chain counterpart, a cyclic platoon formulates a traffic flow ring constrained by interconnection coupling feature and finite-length geometry, which brings challenges for platoon control design and analy...
Preprint
Full-text available
This paper proposes a distributed model predicted control (DMPC) approach for consensus control of multi-agent systems (MASs) with linear agent dynamics and bounded control input constraints. Within the proposed DMPC framework, each agent exchanges assumed state trajectories with neighbors and solves a local open-loop optimization problem to obtain...
Article
Full-text available
Vehicle-to-vehicle (V2V) communication-enabled cooperation of multiple connected vehicles improves the safety and efficiency of our transportation systems. However, the joining and leaving of vehicles and unreliability of wireless communication channels will cause the switching of communication topology among vehicles, thus affecting the performanc...
Conference Paper
Full-text available
Due to its capability of improving fuel economy and traffic efficiency, platooning has become a hot research topic in recent years. Yet platoon internal stability under heterogeneous communication delays is still not fully discussed. This paper proposes an LMI based robust control algorithm for vehicular platoons with generic communication topologi...
Conference Paper
Full-text available
Platoon control is a promising approach for connected and automated vehicles (CAVs) to reduce traffic pressure. This paper studies finite-time platoon control of CAVs subject to mismatched as well as matched disturbances. A finite-time disturbance observer (DO) is first designed to estimate the mismatched velocity disturbance and the matched accele...
Article
Full-text available
Road network control is challenging but critical in enhancing urban traffic. This paper proposes a management method for a road network with non-signalized intersections in the connected-vehicle environment, which coordinates connected and automated vehicles’ movements to make the non-signalized intersections conflict-free and efficient. Firstly, t...
Article
Full-text available
Connected and automated vehicles (CAVs) have the potential to address a number of safety, mobility, and sustainability issues of our current transportation systems. Cooperative longitudinal motion control is one of the key CAV technologies that allows vehicles to be driven in a cooperative manner to achieve system-wide benefits. In this paper, we p...
Chapter
Full-text available
An automated vehicle is a highly intelligent wheeled (maybe more than four wheels) robot that can sense its surrounding environment on the road, making navigation decisions and regulating its longitudinal and lateral motions without human intervention. Its automated system is often designed to work in an independent and autonomous way without commu...
Article
Full-text available
Speed profiles affect fuel economy tremendously, especially, when vehicles running on an urban road with numerous signalized intersections. To improve fuel economy, in this study, we propose a double-layer speed optimization method with real-time computation that considers traffic signal information collected via vehicle-to-infrastructure communica...
Conference Paper
Full-text available
This paper presents a behavioral cooperation method for multiple connected vehicles with directed acyclic interactions. Our main idea is based on a novel feedforward-feedback control scheme, in which each vehicle takes the average of neighbors’ control inputs as a feedforward term and the average of neighbors’ state errors as a feedback term. In th...
Article
Full-text available
Connected vehicles will change the modes of future transportation management and organization, especially at intersections. In this paper, we propose a distributed conflict-free cooperation method for multiple connected vehicles at unsignalized intersections. We firstly project the approaching vehicles from different traffic movements into a virtua...
Article
Full-text available
Signalized intersections play an important role in transportation efficiency and vehicle fuel economy in urban areas. This paper proposes a cooperative method of traffic signal control and vehicle speed optimization for connected automated vehicles, which optimizes the traffic signal timing and vehicles' speed trajectories at the same time. The met...
Preprint
Full-text available
Cooperation of multiple connected vehicles has the potential to benefit the road traffic greatly. In this paper, we consider analysis and synthesis problems of the cooperative control of a platoon of heterogeneous connected vehicles with directed acyclic interactions (characterized by directed acyclic graphs). In contrast to previous works that vie...
Article
Full-text available
A lane departure prevention (LDP) control scheme adapted to driver behavior characteristics is proposed. Firstly, the adaptively adjusted dynamic expected driving zone and virtual lane boundaries are proposed based on driver's natural driving behavior database and human-machine interaction database. Then on this basis, the decision parameters of LD...
Article
Full-text available
Vehicular collision often leads to serious casualties and traffic congestion, and the consequences are worse for multiple-vehicle collision. Many previous works on collision avoidance have only focused on the case for two consecutive vehicles using on-board sensors, which ignored the influence on upstream traffic flow. This paper proposes a novel c...
Conference Paper
Full-text available
The platooning of connected automated vehicles (CAVs) have the potential to significantly benefit the road transportation. This paper presents a distributed control algorithm for a platoon of vehicles with discontinuous gear transmissions using the receding horizon optimization. A directed graph is used to describe the underlying communication topo...
Article
Full-text available
Lane change has attracted more and more attention in recent years for its negative impact on traffic safety and efficiency. However, few researches addressed the multi-vehicle cooperation during lane change process. In this article, feasibility criteria of lane change are designed, which considers the acceptable acceleration/deceleration of neighbo...
Article
Traffic delays are caused by unskilled vehicle operation and driver distraction during the startup process at signalized intersections. To address this issue, we propose a V2I-based driver assistance system that can acquire the current traffic signal status and provide drivers with startup assistance. This article presents the proposed system's arc...
Conference Paper
Car2X technology helps obtain information about individual vehicles, which acts as an accurate data resource for determining traffic status from the viewpoint of a traffic signal controller designing phase timing. Based on Car2X technology, a prototype system for "Green Light on Demand," which means adapting traffic signal automatically for privile...

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Projects

Project (1)
Project
The platooning of autonomous vehicles has the potential of significantly improving fuel economy. This project aims to develop a periodicity-based fuel-saving theory and controller synthesis method for economy-oriented platoon management. The study is expected to propose a novel fuel-saving technology for economy-oriented platoons that is applicable to ICE (internal combustion engine) based ground vehicles in mid-long distance and middle speed following, with fuel benefits over 10%. The proposed study is highly promising to revolutionize today’s platooning techniques for sustainable road transportations.