램프와 속도조절을 위한 데드존 변수 적응법을 이용한 슬라이딩 모드 제어법
Adaptive Sliding Mode Traffic Flow Control using a Deadzoned Parameter Adaptation Law for Ramp Metering and Speed Regulation
- 주제(키워드) Traffic flow control , speed regulation , ramp metering , deadzoned parameter adaptation , adaptive sliding mode control , disturbance
- 발행기관 아주대학교
- 지도교수 좌동경
- 발행년도 2018
- 학위수여년월 2018. 2
- 학위명 박사
- 학과 및 전공 일반대학원 전자공학과
- 실제URI http://www.dcollection.net/handler/ajou/000000026957
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
Traffic congestion has been one of the important issues in our daily life with the development of traffic network. Researchers in the field of traffic control have been working on this problem to improve the efficiency and the stability of traffic operations. In this thesis, a novel method for traffic flow control is developed, based on ramp metering and speed regulation with an adaptive sliding mode control (ASMC) method and a deadzoned parameter adaptation law. Our strategy is proposed for the traffic environment at a stochastic macroscopic level, taking the influence of the density and speed disturbances into account in traffic dynamic equations. This work is to design a local traffic flow controller using both ramp metering and speed regulation derived from the ASMC, with aim to achieving the desired density and speed of vehicles for the maintenance of the maximum mainline throughput against disturbances in practice. The advantage of this proposed method is in that it can largely improve the traffic flow performance, compared to other traditional methods using only ramp metering, even with ramp storage limitation and disturbances in presence. Furthermore, unlike the conventional sliding mode controller, a prior knowledge of disturbance magnitude is not required during the controller designing process. A stability analysis presented in this article shows that the traffic system based on the proposed traffic flow control method can be guaranteed to be globally asymptotically stable. The validity of the proposed method is tested by varying the traffic situations, i.e., under different initial traffic status, indicating that the proposed control method is sufficient to stabilize traffic flow and is better than both the previously well-known Asservissement Lineaire d'Entree Autoroutiere (ALINEA) strategy and the feedback linearization control (FLC) method.
more목차
1 Introduction 1
1.1 Background 1
1.2 Traffic Control Approaches 3
1.3 Research Contributions 6
1.4 Dissertation Organization 7
2 Review of Related Literature 8
2.1 Traffic Flow Theory Introduction 8
2.2 Fundamental Diagram of Traffic flow 9
2.3 Review of Existing Traffic Flow Models 12
2.3.1 Overview 12
2.3.2 Traffic Flow Models 12
2.3.3 Stochastic Macroscopic Traffic Flow Model 20
2.4 Overview of Traffic Control strategies 23
2.4.1 Ramp Metering 23
2.4.2 Speed Control 28
2.4.3 Other active Traffic control strategies 31
3 Traffic Flow Control Design for Ramp Metering and Speed Regulation 32
3.1 Evolution of Macroscopic Traffic Flow Model 32
3.2 Traffic Flow Control Design 36
3.3 FLC-based Traffic Flow Control 39
3.4 SMC-based Traffic Flow Control 41
3.5 ASMC-based Traffic Flow Control 42
4 Control Methodology Evaluation 46
4.1 Overview 46
4.2 Performance Evaluation 49
4.3 Case 1 (p = 30, v = 50) 53
4.3.1 Simulation Result with ALINEA 53
4.3.2 Simulation Result with FLC 53
4.3.3 Simulation Result with ASMC 53
4.4 Case 2 (p = 25 , v = 60) 60
4.4.1 Simulation Result with ALINEA 60
4.4.2 Simulation Result with FLC 60
4.4.3 Simulation Result with ASMC 61
4.5 Simulation Results Comparison 61
5 Conclusions and Future Work 69
Bibliography 70
Abstract in Korea 79
