scholarly journals Conditions for State and Control Constraint Activation in Coordination of Connected and Automated Vehicles

2020 ◽  
Author(s):  
A M Ishtiaque Mahbub ◽  
Andreas A. Malikopoulos
Keyword(s):  
Control Constraint ◽  
Automated Vehicles ◽  
And Control

Modeling and Control Using Connected and Automated Vehicles with Chained Asymmetric Driver Behavior under Stop-and-Go Oscillations

2020 ◽  
pp. 036119812096249
Author(s):  
Anupam Srivastava ◽  
Danjue Chen ◽  
Soyoung Ahn
Keyword(s):  
Order Effect ◽  
Behavior Model ◽  
Automated Vehicles ◽  
Empirical Observation ◽  
Modeling And Control ◽  
Car Following ◽  
Asymmetric Behavior ◽  
Stop And Go ◽  
Car Following Model ◽  
And Control

This paper presents a behavioral car following model, named the chained asymmetric behavior model, that improves on the asymmetric behavior model. This model is inspired by the empirical observation that vehicles react proportionately to the magnitude of disturbance experienced when traversing through a stop-and-go oscillation, deviating from a constant following behavior observed in equilibrium conditions. Findings from simulation experiments suggest that this “second-order” effect significantly affects traffic throughput and evolution under disturbances. Knowledge obtained from the model is leveraged toward designing control for connected automated vehicles in mixed traffic streams.

Dynamic Modeling and Control of High-Speed Automated Vehicles for Lane Change Maneuver

2018 ◽  
Vol 3 (3) ◽  
pp. 329-339 ◽  
Author(s):  
Kai Liu ◽  
Jianwei Gong ◽  
Arda Kurt ◽  
Huiyan Chen ◽  
Umit Ozguner
Keyword(s):  
Dynamic Modeling ◽  
High Speed ◽  
Lane Change ◽  
Automated Vehicles ◽  
Modeling And Control ◽  
And Control

scholarly journals Velocity Control for Coning Motion Missile System Using Direct Discretization Method

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Rui-sheng Sun ◽  
Chao Ming
Keyword(s):  
Control Law ◽  
Discretization Method ◽  
Control Parameters ◽  
Velocity Control ◽  
Control Constraint ◽  
Inversion Theory ◽  
Dynamic Programming Problem ◽  
And Control ◽  
Control Methodology ◽  
Missile System

This paper presents a new coning motion control methodology, which takes into account the terminal speed constraint to design the velocity control system for a missile. By using a direct discretization method to transform the optimal control problem into a nonlinear dynamic programming problem, the optimal trajectory and velocity profile are obtained to satisfy the design index requirement. In order to perform the velocity control, a virtual moving target is proposed for the missile to chase along the optimized trajectory. Consequently, after building velocity control model, a velocity control law and control parameters of the coning motion are completed through the dynamic inversion theory. The simulation results suggest that the proposed control law has a good performance and could be applied to the guidance for the missile with terminal speed control constraint.

scholarly journals Connected and Automated Vehicles

2016 ◽  
Vol 138 (12) ◽  
pp. S5-S11 ◽  
Author(s):  
Huei Peng
Keyword(s):  
Extended Period ◽  
University Of Michigan ◽  
Automated Vehicles ◽  
Operational Test ◽  
Field Operational Test ◽  
Dynamics And Control ◽  
Private Research ◽  
Vehicle Technologies ◽  
The University ◽  
And Control

This article focuses on dynamics and control of connected and automated vehicles. The complexity and difficulty can grow significantly from low automation levels to higher levels. The paper briefly highlights three challenges, i.e., sensing, localization, and perception. The Mobility Transformation Center (MTC) is a public/private research and development partnership led by the University of Michigan. MTC aims to develop the foundations for a viable ecosystem of CAVs. A popular alternative to test high-automation-level AVs is the Naturalistic-Field Operational Test (N-FOT). In an N-FOT, a number of equipped vehicles are tested under naturalistic driving conditions over an extended period. In the near future, connected and automated vehicle technologies are expected to be deployed rapidly. While there has been a lot of research in, and attention to, the field of sensing, localization, and perception, this paper aims to point out a few areas related to the field of dynamics and control that are opportunities for further research.

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