臺灣博碩士論文加值系統

關於交通系統的研究為了更加注重於應用於便利交通，以提高行駛安全，減少車輛壅塞，增加效率交通，強化司機和乘客的舒適設計和智能交通系統的發展。
一研究指出小型的個人捷運(PRT)設計在高架導軌或在地面上應用在校園和城市，範圍從在機場移動貨物運送人員。因此開發商正著手於多功能和智能自動化控制的創新和先進的PRT系統。合併運輸管理系統更為重要且有助於管理PRT系統，在實際情況中避免在道路上車禍等問題。
在本文中不只研究有關基於無線射頻識別技術PRT，合併自動控制應用於車輛位置精確的RFID技術。此外，為了每輛車知道彼此的訊息，利用無線網絡的結合，將有助於車輛信息共享所有數據在一起。
並且為了評估使用小型車真正的自動合併控制系統的品質，利用LabVIEW的模糊控制和自動合併控制的算法來模擬實際情況。
另一方面，測試實車可以幫助我們不僅分析於模糊規則的隸屬函數，而且合併其算法，從模擬結果發現，其路線以及車輛如何安全通過匯合點，在整個合併地區是可以運行的

There is an increased focus on the design and development of intelligent transportation system in applications to improve safety, reduce congestion, increase traffic efficiency flow, and enhance comfort for drivers and passengers. One of the recent research directions is Personal Rapid Transit (PRT) which like the small vehicle, designed to carry four or few people on an elevated guideway or at ground level. It has diverse applications ranging from moving cargo at an airport to transporting people on campuses and in the cities. Therefore, the developers are implementing an innovative and advanced PRT system that equips multiple functions and smart automatic control. Deeply, Transportation Merging Management System is an essential part of a system, it contributes to management for PRT to avoid crash on the road. In this thesis just study about automatic merging control of PRT based on Wifi and Radio Frequency Identification technology. RFID technique is applied for the determination of vehicle location exactly. Moreover, Combination of wifi will help all data of vehicle sharing information together, thereby each vehicle knows the information of the other.
In order to evaluate the quality of real automatic merging control system using the small car, a control simulation was implemented on LabVIEW. Fuzzy control and algorithm of automatic merging control were used to simulate in the system. On the other hand, testing the real car can help us to analyze not only the membership function in the fuzzy rule but also the algorithm of merging. The results of thesis show the demonstration of the car running around the routes and how the cars can safely pass the merging point at the whole merging area.

摘　要 i
ABSTRACT ii
ACKNOWLEDGMENTS iv
CONTENTS v
LIST OF FIGURES vii
LIST OF TABLES x
Chapter 1 INTRODUCTION 1
1.1 Overview 1
1.2 Research motivations 1
1.3 Research objectives 2
1.4 Outline of thesis 2
Chapter 2 LITERATURES REVIEW 3
2.1 Automatic merge control 3
2.2 Intelligent transportation systems 5
2.3 Vehicle - to -vehicle communications 8
2.4 Management of vehicle location 10
2.4.1 RFID 10
2.4.2 Vehicle tracking using Global Positioning System 11
2.5 Fuzzy control theory for vehicle 12
Chapter 3 DESIGN AND COMPLEMENT THE SYSTEM 14
3.1 Design the infrastructure using RFID for PRT 14
3.1.1 Design the model using RFID 14
3.1.2 Establish RFID on PRT 15
3.2 Algorithm of automatic control vehicles 17
3.3 The network communication applications on PRT 22
3.3.1 Introduction about Xbee 22
3.3.2 Design the network by using Xbee on PRT 22
3.3.3 Principle transmit and receive signal from each car 24
3.4 PRT Traction Motor and Steering 26
3.4.1 Traction motor 26
3.4.2 Steering Kinematic and Kinematic Model 28
3.5 Sensor and circuit control 31
3.5.1 Encoder 31
3.5.2 Infrared line tracking sensor 33
3.5.3 Infrared Proximity Sensor 34
3.5.4 H-Bridge 35
3.6 Design fuzzy controller by using MyRIO 37
3.6.1 Design fuzzy controller for merge control 37
3.6.2 Design fuzzy controller for ACC 39
Chapter 4 SIMULATIONS AND EXPERIMENTS 42
4.1 Building intelligent control system of the junction 42
4.2 The parameter setting and simulation 43
4.3 The programming for modules experiment 45
4.4 The results 48
Chapter 5 CONCLUSIONS 51
REFERENCES 52
APPENDIX-RULES FOR FUZZY CONTROLLER 54

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