Traffic Information Network Based on Internet of Things
发布时间:2022-12-07 04:19
With the development of advanced technologies such as computer technology,network technology and sensor technology,based on the internet.The expansion and extension of the foundation formed a new generation of network technology that the Internet of things(for short as IOT)The Internet of Things is a major development opportunity facing mankind in the 21 st century.The Internet of Things will be widely used is the second computer,the Internet and mobile communications network after another revol...
【文章页数】:144 页
【学位级别】:硕士
【文章目录】:
Abstract
Declaration
Acknowledgements
Dedication
List of Abbreviations and Symbols
Chapter 1: Introduction
1.1 Research Background and Significance
1.1.1 Background
1.1.2 The significance of research
1.2 Research Summary at Home (China) and Abroad
1.2.1 Research Status at Home and Abroad
1.2.2 Domestic and Foreign Research Review
1.3 Main research content and research ideas
1.3.1 Research Content
1.3.2 Research Ideas
Chapter 2: LITERATURE REVIEW What is Internet of Things and what is traffic information network? How to combine the internet of things with trafficinformation?
2.1 What is internet of things
2.1.1 What is Traffic Information Network
2.2. Overview of Regional Traffic Information Network
2.2.1. Development Status of Traffic Information Network
2.2.2. Problems with Regional Traffic Information Network
2.2.3. Internet of Things and Its Application Prospects in Transportation
2.2.4. Concept of the Internet of Things
2.2.5. Features of the Internet of Things
2.2.6. Analysis of Application Prospect of Internet of Things in Transportation Fiel
2.3 IOT-based Regional Traffic Information Network
2.3.1 Positioning of Traffic Information Network
2.3.2 Hierarchy of Traffic Information Network
2.3.3 Traffic Information Network Architecture
2.4 Summary of this chapter
Chapter 3: METHODOLOGY The volume of the traffic information networkprediction
3.1 Traffic Information Requirements and Features
3.1.1 traffic information needs analysis
3.1.2 Demand characteristics of traffic information
3.2 Basic Ideas for Traffic Information Demand Forecast Based on Four-phase Method
3.2.1 Overview of the Four-Stage Approach
3.2.2 The mother of the demand forecast and related principles
3.2.3 Four- phase method for forecasting traffic information demand
3.3 Traffic Information Demand Forecasting Model Based on Four-phase Method
3.3.1 Traffic Information Generation Forecast
3.3.2 Traffic Information Distribution Forecast
3.3.3 Traffic Information Sharing Forecast
3.3.4 Traffic Information Allocation Forecast
3.4 Summary of this chapter
Chapter 4: Optimization of multi-attribute Internet of Things based Traffic Information Network layout
4.1 Regional Traffic Information Network Layout
4.1.1 Regional Traffic Information Network Layout Target
4.1.2 Principles of Regional Traffic Information Network Layout
4.2 Hole Structure and Features
4.2.1 Cellular Network Layout Mode
4.2.2 Structure and Features of the Cellular Network Layout Model
4.2.3 Applicable conditions for the mesh network layout mode
4.3 Ring Network Layout Mode and Features
4.3.1 Ring Network Layout Mode
4.3.2 Structure and Features of the Ring Network Layout Mode
4.3.3 Applicable Conditions for the Ring Network Layout Mode
4.4 Pivotal Network Layout Models and Features
4.4.1 Hub-type network layout mode
4.4.2 Structure and Features of Pivotal Network Layout Mode
4.4.3 Applicable Conditions for Pivotal Network Layout Mode
4.5 Summary of this chapter
Chapter 5 Chengdu City's Regional Traffic Information Network Layout Based on Internet of Things
5.1 Overview of Chengdu Traffic Information Network
5.2 Chengdu City Traffic Information Network Layout Ideas and Principles
5.2.1 Ideas and Goals of Optimizing Network Layout
5.2.2 Principles of Network Layout Optimization
5.2.3 Network Layout Optimization Evaluation Procedure
5.3 Construction of Index System of Chengdu Network Layout Model
5.3.1 Principles for Establishing Evaluation Indicators
5.3.2 Establishment of evaluation index system
5.4 Chengdu Traffic Information Demand Forecast
5.4.1 Chengdu City Traffic Information Generation Forecast
5.4.2 Traffic Information Distribution Forecast
5.4.3 Traffic Information Allocation Forecast
5.5 Distribution of Chengdu Traffic Information Network
5.6 Summary of this chapter
5.6.1 Recommendations
5.6.2 Objectives and Contribution of this Project
5.6.3 Conclusion
References
APPENDIX
【参考文献】:
期刊论文
[1]交通物联网的系统架构与技术体系[J]. 赖宏图,朱铨,蒋新华,邹复民. 福建工程学院学报. 2015(01)
[2]一种虚拟交通环境中的微观交通仿真模型[J]. 刘东辉,苏虎. 西南交通大学学报. 2013(01)
[3]经济圈交通网络SVM评价方法[J]. 张兵,邓卫. 东南大学学报(自然科学版). 2012(06)
[4]一种基于TOPSIS的混合型多属性群决策方法[J]. 梁昌勇,戚筱雯,丁勇,冷亚军. 中国管理科学. 2012(04)
[5]基于物联网的智能交通流探测技术研究[J]. 刘唐,彭舰,杨进,汪小芬. 计算机科学. 2011(09)
[6]京津冀区域铁路交通网络结构评价[J]. 朱桃杏,吴殿廷,马继刚,赵莉琴. 经济地理. 2011(04)
[7]交通影响分析中交通需求预测探讨[J]. 王冠军. 科学技术与工程. 2010(21)
[8]基于元胞传输模型的区域疏散动态交通分配[J]. 崔建勋,安实,崔娜. 哈尔滨工业大学学报. 2010(01)
[9]道路交通网络效率定量评价方法及其应用[J]. 秦进,史峰,邓连波,肖龙文. 吉林大学学报(工学版). 2010(01)
[10]基于神经网络的城市交通流预测研究[J]. 马君,刘小冬,孟颖. 电子学报. 2009(05)
本文编号:3712222
【文章页数】:144 页
【学位级别】:硕士
【文章目录】:
Abstract
Declaration
Acknowledgements
Dedication
List of Abbreviations and Symbols
Chapter 1: Introduction
1.1 Research Background and Significance
1.1.1 Background
1.1.2 The significance of research
1.2 Research Summary at Home (China) and Abroad
1.2.1 Research Status at Home and Abroad
1.2.2 Domestic and Foreign Research Review
1.3 Main research content and research ideas
1.3.1 Research Content
1.3.2 Research Ideas
Chapter 2: LITERATURE REVIEW What is Internet of Things and what is traffic information network? How to combine the internet of things with trafficinformation?
2.1 What is internet of things
2.1.1 What is Traffic Information Network
2.2. Overview of Regional Traffic Information Network
2.2.1. Development Status of Traffic Information Network
2.2.2. Problems with Regional Traffic Information Network
2.2.3. Internet of Things and Its Application Prospects in Transportation
2.2.4. Concept of the Internet of Things
2.2.5. Features of the Internet of Things
2.2.6. Analysis of Application Prospect of Internet of Things in Transportation Fiel
2.3 IOT-based Regional Traffic Information Network
2.3.1 Positioning of Traffic Information Network
2.3.2 Hierarchy of Traffic Information Network
2.3.3 Traffic Information Network Architecture
2.4 Summary of this chapter
Chapter 3: METHODOLOGY The volume of the traffic information networkprediction
3.1 Traffic Information Requirements and Features
3.1.1 traffic information needs analysis
3.1.2 Demand characteristics of traffic information
3.2 Basic Ideas for Traffic Information Demand Forecast Based on Four-phase Method
3.2.1 Overview of the Four-Stage Approach
3.2.2 The mother of the demand forecast and related principles
3.2.3 Four- phase method for forecasting traffic information demand
3.3 Traffic Information Demand Forecasting Model Based on Four-phase Method
3.3.1 Traffic Information Generation Forecast
3.3.2 Traffic Information Distribution Forecast
3.3.3 Traffic Information Sharing Forecast
3.3.4 Traffic Information Allocation Forecast
3.4 Summary of this chapter
Chapter 4: Optimization of multi-attribute Internet of Things based Traffic Information Network layout
4.1 Regional Traffic Information Network Layout
4.1.1 Regional Traffic Information Network Layout Target
4.1.2 Principles of Regional Traffic Information Network Layout
4.2 Hole Structure and Features
4.2.1 Cellular Network Layout Mode
4.2.2 Structure and Features of the Cellular Network Layout Model
4.2.3 Applicable conditions for the mesh network layout mode
4.3 Ring Network Layout Mode and Features
4.3.1 Ring Network Layout Mode
4.3.2 Structure and Features of the Ring Network Layout Mode
4.3.3 Applicable Conditions for the Ring Network Layout Mode
4.4 Pivotal Network Layout Models and Features
4.4.1 Hub-type network layout mode
4.4.2 Structure and Features of Pivotal Network Layout Mode
4.4.3 Applicable Conditions for Pivotal Network Layout Mode
4.5 Summary of this chapter
Chapter 5 Chengdu City's Regional Traffic Information Network Layout Based on Internet of Things
5.1 Overview of Chengdu Traffic Information Network
5.2 Chengdu City Traffic Information Network Layout Ideas and Principles
5.2.1 Ideas and Goals of Optimizing Network Layout
5.2.2 Principles of Network Layout Optimization
5.2.3 Network Layout Optimization Evaluation Procedure
5.3 Construction of Index System of Chengdu Network Layout Model
5.3.1 Principles for Establishing Evaluation Indicators
5.3.2 Establishment of evaluation index system
5.4 Chengdu Traffic Information Demand Forecast
5.4.1 Chengdu City Traffic Information Generation Forecast
5.4.2 Traffic Information Distribution Forecast
5.4.3 Traffic Information Allocation Forecast
5.5 Distribution of Chengdu Traffic Information Network
5.6 Summary of this chapter
5.6.1 Recommendations
5.6.2 Objectives and Contribution of this Project
5.6.3 Conclusion
References
APPENDIX
【参考文献】:
期刊论文
[1]交通物联网的系统架构与技术体系[J]. 赖宏图,朱铨,蒋新华,邹复民. 福建工程学院学报. 2015(01)
[2]一种虚拟交通环境中的微观交通仿真模型[J]. 刘东辉,苏虎. 西南交通大学学报. 2013(01)
[3]经济圈交通网络SVM评价方法[J]. 张兵,邓卫. 东南大学学报(自然科学版). 2012(06)
[4]一种基于TOPSIS的混合型多属性群决策方法[J]. 梁昌勇,戚筱雯,丁勇,冷亚军. 中国管理科学. 2012(04)
[5]基于物联网的智能交通流探测技术研究[J]. 刘唐,彭舰,杨进,汪小芬. 计算机科学. 2011(09)
[6]京津冀区域铁路交通网络结构评价[J]. 朱桃杏,吴殿廷,马继刚,赵莉琴. 经济地理. 2011(04)
[7]交通影响分析中交通需求预测探讨[J]. 王冠军. 科学技术与工程. 2010(21)
[8]基于元胞传输模型的区域疏散动态交通分配[J]. 崔建勋,安实,崔娜. 哈尔滨工业大学学报. 2010(01)
[9]道路交通网络效率定量评价方法及其应用[J]. 秦进,史峰,邓连波,肖龙文. 吉林大学学报(工学版). 2010(01)
[10]基于神经网络的城市交通流预测研究[J]. 马君,刘小冬,孟颖. 电子学报. 2009(05)
本文编号:3712222
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