The purpose of this study is to design a real-time robust arterial signal control system that gives priority to buses while simultaneously maximizing progression bandwidths and optimizing signal timing plans at each intersection along the arterial…
Contents
LIST OF TABLES
LIST OF FIGURES
CHAPTER 1: INTRODUCTION
1.1 Background
1.2 Research Objectives
1.3 Organization of Dissertation
CHAPTER 2: LITERATURE REVIEW
2.1 Introduction
2.2 Bus Priority Strategies
2.3 Signal Control for Isolated Intersections
2.3.1 Binary Approach
2.3.2 Rolling Horizon Approach
2.4 Signal Control for Arterial Streets
2.4.1 Disutility-Based Arterial Signal Control Methods
2.4.2 Arterial Progression Methods
2.4.3 Integration of Disutility and Progression Methods for Arterial
Control
2.5 Summary
CHAPTER 3: ARCHITECTURE OF THE ROBUST OPTIMIZATION MODEL
FOR BUS PRIORITY UNDER SIGNAL PROGRESSION
3.1 Introduction
3.2 System Architecture
3.2.1 Network or Progression Control Level
3.2.2 Local or Intersection Control Level
3.2.3 Bus Priority Control Level
3.3 Summary
CHAPTER 4: A REAL-TIME ROBUST OPTIMIZATION MODEL FOR SIGNAL
PROGRESSION
4.1 Introduction
4.2 MULTIBAND Progression Control Method
4.3 Network or Progression Control Level
4.3.1 Signal Progression Module
4.3.2 Arterial Flow Prediction Module
4.3.3 Robust Discrete Optimization Module
4.4 Local or Intersection Control level
4.4.1 Traffic State Prediction Module
4.4.2 Signal State Estimation Module
4.4.3 Signal Optimization Module
4.5 Summary
CHAPTER 5: A REAL-TIME BUS PRIORITY CONTROL UNDER SIGNAL
PROGRESSION
5.1 Introduction
5.2 Bus Priority Control Model
5.2.1 Bus Prediction Module
5.2.2 Priority Candidacy Module
5.2.3 Bus Priority Optimization Module
5.3 Summary
CHAPTER 6: SYSTEM EVALUATION
6.1 Introduction
6.2 Design of Experiments
6.2.1 Simulation Network
6.2.2 Bus Data
6.2.3 Surveillance Systems
6.2.4 Experimental Scenarios
6.2.5 Measures of Effectiveness
6.3 Development of Artificial Neural Network Models
6.3.1 Creation of Training, Validation and Test Data Sets
6.3.2 Design and Test of the Neural Network Models
6.4 Development of the Models Using CORSIM Run-Time Extension
6.4.1 Extraction of Required Data
6.4.2 Modeling Progression Control Level
6.4.3 Modeling Intersection Control Level
6.4.4 Modeling Bus Priority Control Level
6.5 Performance Evaluation Results
6.5.1 Performance Evaluation of the Proposed Intersection Control
Model
6.5.2 Performance Evaluation of the Proposed Progression Control
Model without Robust Optimization
6.5.3 Performance Evaluation of the Proposed Progression Control
Model with Robust Optimization
6.5.4 Performance Evaluation of the Bus Priority Model
6.5.5 Sensitivity Analysis of Traffic Volume Variation on Benefits
of Robust Optimization
6.5.6 Sensitivity Analysis of Bus Data
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Author: Vasudevan, Meenakshy
Source: University of Maryland
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