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Author: Zeeshan Ali
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 0
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Author: Zeeshan Ali
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 0
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Author: Subashri Vasudevan
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659239717
Category :
Languages : en
Pages : 56
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Book Description
The main aim of the project is to design model based approach for Adaptive Cruise Control system which works efficiently under the STOP & GO scenarios. A significant number of accidents could be avoided through timely threat recognition and appropriate actions of collision avoidance. This may be achieved by suitable warning to the driver or by automatic support to longitudinal or lateral control of vehicle. The Adaptive Cruise Controller (ACC) is mainly a comforting system that helps in controlling the speed of the vehicle; at the same time it ensures the distance from the preceding vehicle is safer enough to avoid collision. But the driver remains responsible for steering. The speed can be decelerated/ accelerated in steps using the buttons available in the ACC. If deceleration of the ACC is not sufficient enough to avoid a collision, it warns the driver with a warning sound. All these are clearly drafted in the report and is presented with proper simulation results. Reader can go through the details and we are sure it would be a good reading.
Author: Azim Eskandarian
Publisher: Springer
ISBN: 9780857290847
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
The Handbook of Intelligent Vehicles provides a complete coverage of the fundamentals, new technologies, and sub-areas essential to the development of intelligent vehicles; it also includes advances made to date, challenges, and future trends. Significant strides in the field have been made to date; however, so far there has been no single book or volume which captures these advances in a comprehensive format, addressing all essential components and subspecialties of intelligent vehicles, as this book does. Since the intended users are engineering practitioners, as well as researchers and graduate students, the book chapters do not only cover fundamentals, methods, and algorithms but also include how software/hardware are implemented, and demonstrate the advances along with their present challenges. Research at both component and systems levels are required to advance the functionality of intelligent vehicles. This volume covers both of these aspects in addition to the fundamentals listed above.
Author: Payman Shakouri
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Over the recent years, a considerable growth in the number of vehicles on the roads has been observed. This increases importance of vehicle safety and of minimization of fuel con- sumption, subsequently prompting manufacturers of cars to equip their products, with more advanced features such as Adaptive Cruise Control (ACC) and Collision Avoidance and Col- lision Warning System (CWS). In this thesis we concentrate on new methods for ACe. This work will include: Design of the simulation models suitable for this application, Investiga- tion and design of suitable hybrid control algorithm by using classical and advanced control algorithm's consisting of the gain scheduling PI and Linear Quadratic (LQ) controllers, De- sign of the Nonlinear Model Predictive Control (NMPC) and the nonlinear Balance-Based Adaptive Control (B-BAC), Real-time implementation and tests of the algorithms by using NI Lab View Starter Kit Robot from National Instruments, Implementation and tests of the models and the controllers in MA TLAB/Simulink®. The applications of the different control methods in the ACC are tested and compared against different traffic scenarios considering both velocity tracking (CC) and distance track- ing (ACC) modes. Judging about the performance of ACC by utilizing the two advanced control methods; B-BAC and NMPC includes trade-offs between tracking-distance and ve- locity and the vehicle acceleration. However, both the B-BAC and the NMPC has demon- strated significantly smoother responses in controlling the throttle and the brake compared to PI control and linear MPC which in turn could improve the vehicle acceleration and fuel ef- ficiency. The methods in order of producing better performance in terms of the values of control errors and their influences on fuel saving; NMPC, B-BAC, linear MPC and PI con- trol. Improvement of fuel efficiency is investigated in this thesis through two approaches; first, by calculating the optimal control actions corresponding to the throttle and the brake signals through utilising the advanced control methods, second, by reducing the engine speed to idle speed during coast phase of the vehicle which causes the engine friction to be re- duced. The engine speed can be reduced through transition between locked and unlocked states of the torque convertor. Possibility of achieving fuel efficiency through coasting in the vehicle has been investigated in the simulation and it has been demonstrated that longer coasting duration could be achieved i.e. more distance can be covered, and the fuel effi- ciency could be improved.
Author: Sanggyum Kim
Publisher:
ISBN:
Category :
Languages : en
Pages : 135
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Book Description
Modern automobiles are equipped with various driver assistance functions which enhance safety and relieve driver fatigue. With the recent development of sensor technology, the Adaptive Cruise Control (ACC) system has been put into practice. This thesis investigates several aspects for the ACC system including (1) smooth reaction of the host vehicle to the cutting in and out of lead vehicles, (2) real-time optimal profile generation for stop-and-go motions, (3) optimal feedback controller design, and (4) extension to Cooperative Adaptive Cruise Control (CACC) systems. The ACC system should maintain an appropriate relative distance to the lead vehicle and should also maintain the desired speed set by the driver if there is no lead vehicle or if the speed of the lead vehicle is faster than the desired speed. Also, it should react smoothly when the lead vehicle cuts out or if a new lead vehicle cuts in from a side lane. This thesis introduces the virtual lead vehicle scheme to prevent the switching between the distance control and the speed control. By controlling the motion of the virtual lead vehicle to be smooth, the scheme could provide smooth reaction of the host vehicle to the cutting in and out of lead vehicles. Linear Quadratic (LQ) optimal control scheme is utilized to find the control gains for the virtual lead vehicle and the host vehicle. Variable weights are utilized in LQ for the virtual lead vehicle. With the variable weights, the motion of the virtual lead vehicle is controlled to be smooth when there is no safety threat while ensuring that the virtual lead vehicel is still responsive and fast when a dangerous situation occurs. ACC with Stop-and-Go and the Cooperative Adaptive Cruise Control (CACC) system are extensions of the conventional ACC system. Stop-and-Go system is targeted to be used in urban driving situation where the lead vehicle can stop completely. In that case, the Stop-and-Go system should have a capability to stop the host vehicle completely. The constant time-headway policy used to find the appropriate relative distance causes undesirable motion for a complete stop. In this thesis a sliding controller is utilized to control the complete stopping motion. To find the optimal stopping trajectory, a constrained Quadratic Programming (QP) problem is solved. A constrained QP is also used to find the optimal velocity profile when the stopped vehicle is to resume motion. Multi-resolution formulations and the Lemke algorithm are utilized to find the optimal trajectories in real time. The CACC system utilizes wireless communication so that the vehicles in the network can share information with other vehicles. In this thesis, a centralized controller is designed by LQ optimal control scheme and potential benefits and problems are addressed. A Kalman filter with variable measurement noise covariance is introduced to compensate the lost data through the wireless network associated with the CACC system. The proposed control schemes have been verified through simulations.
Author: Erel Avineri
Publisher: Springer Science & Business Media
ISBN: 3540880798
Category : Computers
Languages : en
Pages : 287
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Book Description
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.
Author: Yao Zhai
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 138
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Book Description
An Adaptive Cruise Control (ACC) system is a driver assistance system that assists a driver to improve driving safety and driving comfort. The design of ACC controller often involves the design of a switching logic that decides where and when to switch between the two modes in order to ameliorate driving comfort, mitigate the chance of a potential collision with the preceding vehicle while reduce long-distance driving load from the driver. In this thesis, a new strategy for designing ACC controller is proposed. The proposed control strategy utilizes Range vs. Range-rate chart to illustrate the relationship between headway distance and velocity difference, and then find out a constant deceleration trajectory on the chart, which the following vehicle is controlled to follow. This control strategy has a shorter elapsed time than existing ones while still maintaining a relatively safe distance during transient process. String stability issue has been addressed by many researchers after the adaptive cruise control (ACC) concept was developed. The main problem is when many vehicles with ACC controller forming a vehicle platoon end to end, how the control algorithm is designed to ensure that the spacing error, which is the deviation of the actual range from the desired headway distance, would not amplify as the number of following vehicles increases downstream along the platoon. In this thesis, string stability issues have been taken into consideration and constraints of parameters of an ACC controller are derived to mitigate steady state error propagation.
Author: Jianlong Zhang
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 78
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Book Description
In this project, we design two new Adaptive Cruise Control (ACC) systems based on driver comfort, safety, vehicle following performance, environmental and traffic flow characteristics considerations. A new variable time headway rule is proposed and used to meet these considerations. Analysis and simulations are used to evaluate and compare the two designs. The first ACC system (referred to as ACC01) incorporates two controllers: one for speed tracking and one for vehicle following. The second ACC system (referred to as ACC02) treats the vehicle following task as a special speed tracking task and incorporates more intelligence in dealing with disturbance rejection, smooth response and safe vehicle following without affecting travel time. It provides better transient performance than ACC01, and can attenuate oscillations in the speed response of the preceding vehicle. It has also been shown that ACC02 provides better fuel economy and emission results than ACC01. The ACC02 design will be used for subsequent studies in a continuation project.
Author: Changzhu Zhang
Publisher: OAE Publishing Inc.
ISBN:
Category : Computers
Languages : en
Pages : 20
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Book Description
Adaptive cruise control is one of the essential technologies of advanced driver assistance systems, which is used to maintain a safe distance between an ego vehicle and a preceding vehicle and has been extensively applied in the automotive industry and control community. Note that some vehicle manoeuvres may approach handling limits to prevent collisions under complex road conditions, which often leads to vehicle lateral instability while cruising. In this study, a T-S fuzzy model predictive control framework is applied to the problem of adaptive cruise control. Variations in the preceding vehicle velocity and road surface conditions are considered to formulate adaptive cruise control as a tracking control problem of a T-S fuzzy system subject to parameter uncertainties and external persistent perturbations. Then, a robust positively invariant set is introduced to derive an admissible T-S fuzzy controller by solving a min-max optimization problem under a series of linear matrix inequality constraints. Finally, a CarSim/MATLAB joint simulation is conducted to illustrate the effectiveness of the proposed method, which ensures longitudinal adaptive cruise control for a car-following scenario with lateral vehicle stability.
Author: Bhawani Shankar Chowdhry
Publisher: Springer
ISBN: 3642289622
Category : Computers
Languages : en
Pages : 568
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Book Description
This book constitutes the refereed proceedings of the Second International Multi-topic Conference, IMTIC 2012, held in Jamshoro, Pakistan, in March 2012. The 51 revised full papers presented were carefully reviewed and selected from 205 submissions. The papers address topics from information communication technologies.
