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Sensor Systems for Vehicle Environment Perception in a Highway Intelligent Space System

Xiaofeng Tang, Feng Gao, Guoyan Xu, Nenggen Ding, Yao Cai, Mingming Ma, Jianxing Liu
2014 Sensors  
Furthermore, an inter-vehicle dynamics model is built and model predictive control approach is used to predict the driving state in the following period.  ...  Considering the high-speed feature of vehicles on highways, when vehicles will be passing a road ahead that is prone to accidents, the vehicle driving state should be predicted to ensure drivers have road  ...  Second, vehicle dynamics model is built and model predictive control approach is used to predict vehicle driving state at the next timepoint.  ... 
doi:10.3390/s140508513 pmid:24834907 pmcid:PMC4062994 fatcat:cbykgdcy2rhzrccgzvly4queqy

Electronic stability program with vehicle sideslip estimation

Zoltán Hankovszki, Roland Kovács, László Palkovics
2013 Periodica Polytechnica Transportation Engineering  
Approximate enough vehicle sideslip estimation ensures the opportunity of correct vehicle state observation and deducing other important vehicle parameters as corrected lateral acceleration for instance  ...  Predicted vehicle state definition could also be done, which is able to show dangers before they start to develop.  ...  Vehicle state definition 2.1 Definition of vehicle dynamics First of all vehicle state definition must be laid down. For this vehicle's lateral dynamic should be defined.  ... 
doi:10.3311/pptr.7094 fatcat:mncf5lzbjzcmzmas62f6odmsza

Abstracts

2020 IEEE Transactions on Intelligent Vehicles  
A direct Lyapunov based LMI approach is employed to prove stability of the closed-loop system.  ...  Control of whole-body vibration (WBV) via a seat suspension in off-road vehicles is a challenging task due to the presence of severe external disturbances and parametric uncertainties.  ...  Over allocation of a driver's attention to secondary tasks may impair the driver's control of the vehicle and attention to the surrounding traffic.  ... 
doi:10.1109/tiv.2020.2978681 fatcat:n7ifvfboe5crbdlqykb7rfwgk4

[IEEE Robotics & Automation Society]

2012 IEEE robotics & automation magazine  
In this paper we consider the design of a nonlinear predictive controller based on a nonlinear dynamic model of the system so as to achieve tracking control for systems with input-induced nonlinearities  ...  The proposed controller has a feedforward-feedback control structure that is designed for a motorway arterial model. For the feedback design the nonlinear model predictive control is used.  ... 
doi:10.1109/mra.2012.2229854 fatcat:rjrxtwk4jbcgjpvjdad6mougsq

IEEE Robotics & Automation Society

2012 IEEE robotics & automation magazine  
In this paper we consider the design of a nonlinear predictive controller based on a nonlinear dynamic model of the system so as to achieve tracking control for systems with input-induced nonlinearities  ...  The proposed controller has a feedforward-feedback control structure that is designed for a motorway arterial model. For the feedback design the nonlinear model predictive control is used.  ... 
doi:10.1109/mra.2012.2230568 fatcat:33actbknxrel3jnag2kx7cncem

IEEE Robotics & Automation Society

2011 IEEE robotics & automation magazine  
In this paper we consider the design of a nonlinear predictive controller based on a nonlinear dynamic model of the system so as to achieve tracking control for systems with input-induced nonlinearities  ...  The proposed controller has a feedforward-feedback control structure that is designed for a motorway arterial model. For the feedback design the nonlinear model predictive control is used.  ... 
doi:10.1109/mra.2011.941112 fatcat:owvu2behc5hulpcae2dp5myigm

IEEE Robotics & Automation Society

2011 IEEE robotics & automation magazine  
In this paper we consider the design of a nonlinear predictive controller based on a nonlinear dynamic model of the system so as to achieve tracking control for systems with input-induced nonlinearities  ...  The proposed controller has a feedforward-feedback control structure that is designed for a motorway arterial model. For the feedback design the nonlinear model predictive control is used.  ... 
doi:10.1109/mra.2011.943480 fatcat:d2wvloyv6jcbzp2yathd52mx2u

Modern Condition Monitoring Systems for Railway Wheel set Dynamics: Performance Analysis and Limitations of Existing Techniques

Khakoo Mal, Imtiaz Hussain, Tayab Din Memon, Dileep Kumar, Bhawani Shankar Chowdhry
2022 Sir Syed Research Journal of Engineering & Technology  
The core element of a CMS is the use of suitable algorithms to evaluate system behavior for achieving a solution to avoid accidents involving railway vehicles.  ...  This paper attempts to compare and evaluate the existing state of the art condition monitoring techniques applied for real-time monitoring of railway wheel-set dynamics.  ...  In addition, the authors are grateful to Dr. Ian Grout Department of Electronic and Computer Engineering, the University of Limerick Ireland for his valued suggestions.  ... 
doi:10.33317/ssurj.419 fatcat:3l4jcshcwbawnoeflyo4kb5qgu

A Review of Near-Collision Driver Behavior Models

Gustav Markkula, Ola Benderius, Krister Wolff, Mattias Wahde
2012 Human Factors  
Specifically, researchers aiming to develop simulations of on-road collision accident situations can use this review to find suitable starting points for their work.  ...  Background: In the efforts to improve traffic safety, computer simulation of accident situations holds promise as a valuable tool, both for academia and industry.  ...  In this model, a nonlinear vehicle dynamics model is locally linearized and used at the anticipation level.  ... 
doi:10.1177/0018720812448474 pmid:23397819 fatcat:25nltzk4vfhtlkiipd2ylds7bq

Vehicle sideslip estimation

2009 IEEE Control Systems  
Observers combine the available measurements with dynamic models to estimate unknown dynamic states.  ...  The predicted 1 behavior can be compared to the actual behavior of the car; ESC systems, for example, use the brakes to correct the deviation from a yaw reference model when the vehicle starts to skid  ...  The expression F y1 D C y˛1 is an example of a linear friction model, but to account for the nonlinearity of road-tire friction forces for large tire slips, a nonlinear model is needed.  ... 
doi:10.1109/mcs.2009.934083 fatcat:fliyuw7ab5fc5dja47unus4omm

Modeling and Recognizing Driver Behavior Based on Driving Data: A Survey

Wenshuo Wang, Junqiang Xi, Huiyan Chen
2014 Mathematical Problems in Engineering  
A wide range of both mathematical identification methods and modeling methods of driver behavior are presented from the control point of view in this paper based on the driving data, such as the brake/  ...  In recent years, modeling and recognizing driver behavior have become crucial to understanding intelligence transport systems, human-vehicle systems, and intelligent vehicle systems.  ...  Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper.  ... 
doi:10.1155/2014/245641 fatcat:4gbrsuxt3vdqhmxqxtapvfgruq

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
neighboring vehicles, so as to forecast the future states of neighboring vehicles to quickly filter out malicious messages.  ...  (MEHTs) for the railway industry as a use case of the industrial environment.  ...  The concept of D-stability is exploited using Lyapunov stability arguments to improve the transient behaviors of the closed-loop vehicle system.  ... 
doi:10.1109/tits.2020.3001822 fatcat:yk66ziu2kbgsfbit6mabxfwrdu

Research advances in intelligent collision avoidance and adaptive cruise control

A. Vahidi, A. Eskandarian
2003 IEEE transactions on intelligent transportation systems (Print)  
This paper looks into recent developments and research trends in collision avoidance/warning systems and automation of vehicle longitudinal/lateral control tasks.  ...  Based on diversely selected research, this paper explains the initiatives for automation in different levels of transportation system with a specific emphasis on the vehicle-level automation.  ...  [41] and Yi and Chung [42] used a sliding mode controller to control a nonlinear brake model for CW/CA applications.  ... 
doi:10.1109/tits.2003.821292 fatcat:2g6zj5f5yjbohoutvoq7haggzm

Comparative Study of Two Dynamics-Model-Based Estimation Algorithms for Distributed Drive Electric Vehicles

2017 Applied Sciences  
Thus, UKF should be more suitable for vehicle state estimation application in consideration of the high nonlinearity of vehicle dynamics, particularly during critical conditions.  ...  Therefore, it is of great importance to develop a precise and robust estimation approach so as to deal with nonlinear vehicle dynamics systems.  ...  Kraus [31] proposed an MHE-nonlinear model predictive control (NMPC) framework to control field vehicles using an adaptive nonlinear kinematic model.  ... 
doi:10.3390/app7090898 fatcat:sftc5besurbahoq4xarrmvc7pq

DESIGN AND ASSESSMENT OF A SPEED-BASED INTEGRATED ACTIVE VEHICLE CONTROLLER FOR LATERAL STABILITY

Mokhtar Albukair
2020 JES. Journal of Engineering Sciences  
Two different vehicle models were constructed to simulate the dynamic behavior of the system with and without the proposed integration controller, namely, a 14-DOF vehicle dynamic model with nonlinear  ...  stability criterion to allocate stability control authority and ensure smooth transition of control between the three AFS, ESC, and TVS systems.  ...  In such situations, dynamic auto-intervention or active control systems become extremely useful to avoid the potential for human error by avoiding and recovering from any unwanted disturbances in the path  ... 
doi:10.21608/jesaun.2020.45091.1014 fatcat:pxopwyz7t5fedle5mx63w656ve
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