基于车联网的交通优化与驾驶安全提升研究
发布时间：2024-03-05 19:50
交通运输对于全球经济发展和人口流动至关重要,交通事故的发生不仅导致大量人员伤亡,还会造成巨大的经济损失。据世界卫生组织报道,每年约有125万人死于道路交通事故,上千万人受伤,道路交通事故已经成为全球第七大死亡原因。在美国,2012年由于交通拥堵造成的经济损失(包括燃油消耗和交通延误)估计为1210亿美元,预计2020年将损失1990亿美元。为了解决以上问题,交通系统必须足够智能以辅助驾驶员,并对潜在的交通事故进行预判。智慧交通系统的研究不仅可以为我们的出行带来极大便利,提高经济效益,提升驾驶安全,还可以缩短出行时间、减少不必要的燃油消耗。交通运输系统面临的主要问题是驾驶安全和交通堵塞,研究人员和汽车制造商在如何减少碰撞、缓解道路交通拥堵方面已有很多研究。这些研究虽然可以解决当前面临的一些问题,但是大多数现有的交通控制系统都存在一些不足和挑战,高成本、缺乏对驾驶员安全行为及其他导致安全事故因素的考虑等。高成本是目前最主要的问题,对于交通拥堵现象严重的发展中国家和大城市而言,建立通信基础设施和交通控制系统将耗费大量成本。驾驶员的行为对于道路交通安全也至关重要,但大多数现代化系统都忽略了这些...
【文章页数】：120 页
【学位级别】：博士
【文章目录】：
Acknowledgment
摘要
Abstract
Chapter 1. Introduction
1.1 Vehicular Ad hoc Networks
1.2 VANET Architecture
1.2.1 Communication Architecture
1.2.2 Network Stack Layers
1.2.3 Components of VANET
1.3 VANET Applications
1.3.1 Information Exchanging System
1.3.2 Intelligent Traffic Management System
1.3.3 Entertainment applications
1.3.4 Platooning System
1.4 Characteristics of VANET
1.5 Routing in VANET
1.5.1 Proactive Routing Protocols
1.5.2 Reactive Routing Protocols
1.5.3 Hybrid Routing Protocol
1.6 VANET security
1.7 VANET Challenges and open issues
1.8 Research Background
1.9 Thesis Structure
Chapter 2. Literature Review
2.1 Traffic optimization systems and Limitations
2.2 Accident Prediction Systems and their challenges
2.2.1 Velocity Based Approaches
2.2.2 Traffic Density-Based Approaches
2.2.3 Driver Fatigue Based Approaches
2.2.4 Weather Based Approaches
2.3 Traffic congestion pricing systems
2.4 Research contributions
2.4.1 Motivations and contributions of DIFTOS
2.4.2 HMM-based accident prediction system's motivation andcontribution
2.4.3 Motivations and contributions of T-Coin: dynamic traffic pricingsystem
2.5 Comparative analysis
Chapter 3: DIFTOS:A Distributed Infrastructure-Free Traffic OptimizationSystem Based on Vehicular Ad Hoc Networks for Urban Environments
3.1 Introduction
3.2 System components and architecture
3.2.1 DIFTOS Client
3.2.2 DIFTOS Server
3.2.3 Virtual Server Hierarchy
3.2.4 Server Selection
3.2.5 Path Request
3.2.6 Path Reply
3.2.7 Path Update
3.3 System Modeling and Formulation
3.4 Simulation
3.4.1 Simulation details
3.4.2 Map Extraction
3.4.3 Network Simulation
3.5 Performance Evaluation
3.5.1 Baseline
3.5.2 Metrics
3.5.3 Evaluation Parameters
3.5.4 Results Analysis
3.6 Conclusions and future directions
4 Chapter 4. Accident Prediction System Based on Hidden Markov Model forVehicular Ad-hoc Network in Urban Environments
4.1 Introduction
4.2 Preliminaries
4.2.1 Forward Procedure
4.2.2 Backward procedure
4.3 System Modeling
4.3.1 Probability fusion
4.3.2 Training HMM
4.4 Simulation details
4.4.1 Training Dataset
4.4.2 Simulation map
4.4.3 Model Training
4.4.4 Weights Optimization
4.4.5 Traffic Simulation
4.5 Performance Evaluation
4.5.1 Metrics
4.5.2 Baselines
4.5.3 Simulation Results
4.6 Conclusions and future directions
5 Chapter 5.T-Coin: Traffic Congestion Pricing System Based on Tender andReward-Punishment for intelligent transportation in smart cities
5.1 Introduction
5.2 System Policies
5.2.1 Vehicular Navigation Architecture
5.2.2 T-Coin Balance
5.2.3 Road Reservation Policy
5.2.4 Reward and Punishment Policy
5.2.5 Traffic Tender
5.2.6 Misbehaviors Punishment
5.3 System Model
5.3.1 Map Modeling
5.3.2 Traffic Flow and Travel Delay
5.3.3 Road Reservation Matrix
5.3.4 Traffic Quota Management
5.3.5 Dynamic Congestion Pricing
5.4 Performance Evaluation
5.4.1 Baselines
5.4.2 Performance Metrics
5.4.3 Evolution Parameters
5.4.4 Simulation Environment
5.5 Results Discussion
5.6 Conclusions
Chapter 6.Conclusion
References
作者简历及在学研究成果
学位论文数据集
本文编号：3919957
【文章页数】：120 页
【学位级别】：博士
【文章目录】：
Acknowledgment
摘要
Abstract
Chapter 1. Introduction
1.1 Vehicular Ad hoc Networks
1.2 VANET Architecture
1.2.1 Communication Architecture
1.2.2 Network Stack Layers
1.2.3 Components of VANET
1.3 VANET Applications
1.3.1 Information Exchanging System
1.3.2 Intelligent Traffic Management System
1.3.3 Entertainment applications
1.3.4 Platooning System
1.4 Characteristics of VANET
1.5 Routing in VANET
1.5.1 Proactive Routing Protocols
1.5.2 Reactive Routing Protocols
1.5.3 Hybrid Routing Protocol
1.6 VANET security
1.7 VANET Challenges and open issues
1.8 Research Background
1.9 Thesis Structure
Chapter 2. Literature Review
2.1 Traffic optimization systems and Limitations
2.2 Accident Prediction Systems and their challenges
2.2.1 Velocity Based Approaches
2.2.2 Traffic Density-Based Approaches
2.2.3 Driver Fatigue Based Approaches
2.2.4 Weather Based Approaches
2.3 Traffic congestion pricing systems
2.4 Research contributions
2.4.1 Motivations and contributions of DIFTOS
2.4.2 HMM-based accident prediction system's motivation andcontribution
2.4.3 Motivations and contributions of T-Coin: dynamic traffic pricingsystem
2.5 Comparative analysis
Chapter 3: DIFTOS:A Distributed Infrastructure-Free Traffic OptimizationSystem Based on Vehicular Ad Hoc Networks for Urban Environments
3.1 Introduction
3.2 System components and architecture
3.2.1 DIFTOS Client
3.2.2 DIFTOS Server
3.2.3 Virtual Server Hierarchy
3.2.4 Server Selection
3.2.5 Path Request
3.2.6 Path Reply
3.2.7 Path Update
3.3 System Modeling and Formulation
3.4 Simulation
3.4.1 Simulation details
3.4.2 Map Extraction
3.4.3 Network Simulation
3.5 Performance Evaluation
3.5.1 Baseline
3.5.2 Metrics
3.5.3 Evaluation Parameters
3.5.4 Results Analysis
3.6 Conclusions and future directions
4 Chapter 4. Accident Prediction System Based on Hidden Markov Model forVehicular Ad-hoc Network in Urban Environments
4.1 Introduction
4.2 Preliminaries
4.2.1 Forward Procedure
4.2.2 Backward procedure
4.3 System Modeling
4.3.1 Probability fusion
4.3.2 Training HMM
4.4 Simulation details
4.4.1 Training Dataset
4.4.2 Simulation map
4.4.3 Model Training
4.4.4 Weights Optimization
4.4.5 Traffic Simulation
4.5 Performance Evaluation
4.5.1 Metrics
4.5.2 Baselines
4.5.3 Simulation Results
4.6 Conclusions and future directions
5 Chapter 5.T-Coin: Traffic Congestion Pricing System Based on Tender andReward-Punishment for intelligent transportation in smart cities
5.1 Introduction
5.2 System Policies
5.2.1 Vehicular Navigation Architecture
5.2.2 T-Coin Balance
5.2.3 Road Reservation Policy
5.2.4 Reward and Punishment Policy
5.2.5 Traffic Tender
5.2.6 Misbehaviors Punishment
5.3 System Model
5.3.1 Map Modeling
5.3.2 Traffic Flow and Travel Delay
5.3.3 Road Reservation Matrix
5.3.4 Traffic Quota Management
5.3.5 Dynamic Congestion Pricing
5.4 Performance Evaluation
5.4.1 Baselines
5.4.2 Performance Metrics
5.4.3 Evolution Parameters
5.4.4 Simulation Environment
5.5 Results Discussion
5.6 Conclusions
Chapter 6.Conclusion
References
作者简历及在学研究成果
学位论文数据集
本文编号：3919957
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