Design of switching strategy for adaptive cruise control under string stability constraints

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of Study
  • 1.3Problem Statement
  • 1.4Objective of Study
  • 1.5Limitation of Study
  • 1.6Scope of Study
  • 1.7Significance of Study
  • 1.8Structure of the Research
  • 1.9Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Evolution of Adaptive Cruise Control Systems
  • 2.2String Stability in Adaptive Cruise Control
  • 2.3Previous Approaches to Switching Strategies
  • 2.4Impact of String Stability Constraints
  • 2.5Role of Machine Learning in Adaptive Cruise Control
  • 2.6Sensor Technologies in Adaptive Cruise Control
  • 2.7Communication Protocols in Adaptive Cruise Control
  • 2.8Human Factors in Adaptive Cruise Control
  • 2.9Future Trends in Adaptive Cruise Control
  • 2.10Comparative Analysis of Adaptive Cruise Control Systems

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design and Methodology
  • 3.2Data Collection Methods
  • 3.3Sampling Techniques
  • 3.4Experimental Setup
  • 3.5Data Analysis Procedures
  • 3.6Evaluation Metrics
  • 3.7Statistical Tools Used
  • 3.8Validation Techniques

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • 4.1Overview of Findings
  • 4.2Analysis of Switching Strategies
  • 4.3Impact of String Stability Constraints
  • 4.4Comparison with Existing Systems
  • 4.5Performance Evaluation Metrics
  • 4.6User Feedback and Satisfaction
  • 4.7Recommendations for Improvement
  • 4.8Implications for Future Research

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Summary of Findings
  • 5.2Conclusion
  • 5.3Contributions to the Field
  • 5.4Practical Applications
  • 5.5Limitations of the Study
  • 5.6Recommendations for Future Research

Project Abstract

<p> </p><p>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.</p><p>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.</p><p>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.</p><p>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.</p><p>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.</p><p>Source IUPUI<br>Author Zhai, Yao</p> <br><p></p>

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