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Urban traffic control systems: architecture, methods and development

Urban traffic control systems: architecture, methods and development

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With the development of edge computing, internet of things, connected vehicles and big traffic data, future urban traffic signal control will be improved in several aspects. Future urban traffic signal control systems will be a cooperative and network system, which contains abilities of detection data sharing, real-time optimization, synchronized control, comprehensive -monitoring, fault -tolerant and coordination evaluation. With these new features and functions, urban signal control systems will be intelligent and efficient.

Chapter Contents:

  • 9.1 Introduction
  • 9.1.1 Brief description
  • Europe
  • The United States
  • Australia
  • 9.1.2 Classification
  • 9.1.3 Level of traffic control system
  • 9.2 SCOOT
  • 9.2.1 Overview
  • 9.2.2 Basic principles
  • 9.2.3 System architecture
  • 9.2.4 Optimization process
  • Demand detection
  • Queue prediction
  • Congestion prediction
  • Performance prediction
  • Signal optimization
  • 9.2.5 Additional features
  • Gating
  • Bus priority
  • 9.3 SCATS
  • 9.3.1 Overview
  • 9.3.2 Basic principles
  • 9.3.3 System architecture
  • 9.3.4 Optimization process
  • Demand detection
  • Cycle determination
  • Split determination
  • Offset determination
  • 9.4 Summaries and limitation analysis
  • 9.5 Future analysis of urban traffic control system
  • 9.5.1 Changes in system environments
  • Traffic data
  • Traffic control objects and variables
  • The demand of computational power
  • 9.5.2 Standardization
  • 9.5.3 Summary
  • References

Inspec keywords: road traffic control

Other keywords: Internet of Things; urban signal control system; edge computing; synchronized control; urban traffic control system

Subjects: Road-traffic system control; Traffic engineering computing

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