A Self-Organizing Architecture for Traffic Management
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Transcript of A Self-Organizing Architecture for Traffic Management
MAVs Lab, University of Texas at Dallas 1
A Self-Organizing Architecture for Traffic Management
R. Z. Wenkstern, T. Steel, G. Leask
MAVs Lab, University of Texas at Dallas
Introduction Overview of Soteria Micro Level
Components Macro-Level
Components
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Outline MATISSE MATISSE’s High Level
Architecture MATISSE’s agent
architecture MATISSE’s cell
controller architecture Conclusion
MAVs Lab, University of Texas at Dallas
Soteria: a multi-layered, integrated traffic infrastructure for safety enhancement and congestion reduction
Developed by a team of researchers at UTD
Introduction
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Contributors• P. Boyraz• J. Hansen• A. Fumagalli• M. Tacca• O. Daescu• K. Trumper• R. Z. Wenkstern
Electrical Engineering
Telecom Engineering
Computer Science• AI• Computational Geometry• Software Engineering
MAVs Lab, University of Texas at Dallas
Introduction Overview of
Soteria Micro Level
Components Macro-Level
Components
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Outline MATISSE MATISSE’s High Level
Architecture MATISSE’s agent
architecture MATISSE’s cell
controller architecture Conclusion
MAVs Lab, University of Texas at Dallas
Premises Traffic model consists of micro- and macro-
level components Traffic is a bottom up phenomenon Traffic management is a top-down activity
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Overview of Soteria
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Soteria’s Components
Micro-level components
Vehicles Traffic lights Relays Data collection devices
Macro-level components
Cell controllers Cell Controller
Infrastructure Vehicle Infrastructure Traffic Flow
InfrastructureOur goal
Enforce communication, interaction and collaboration between all stakeholders both at the micro and macro levels
MAVs Lab, University of Texas at Dallas
Introduction Overview of Soteria Micro Level
Components Macro-Level
Components
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Outline MATISSE MATISSE’s High Level
Architecture MATISSE’s agent
architecture MATISSE’s cell
controller architecture Conclusion
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Micro-Level Components
Impact Mitigation System Takes all actions necessary to
prevent major injury
Context-Aware Intelligent Vehicles
Environment Monitoring System Collects and stores information
about the environmentAdvanced Traveler Information
System Adaptive navigation systemDriver Monitoring System Collects information about driver’s
conditionTemporary Collision Avoidance
System Assists the driver into directing the car
to the closest safe area
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Micro-level Components
Traffic Lights
Data Collection Devices
Relay Units
Autonomous Adaptive System Determine best course of action
when unexpected events occur
Traffic Information Collection System Collects and manages traffic
information on highways
Pass on information when physical distance is too great.
MAVs Lab, University of Texas at Dallas
Introduction Overview of Soteria Micro Level
Components Macro-Level
Components
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Outline MATISSE MATISSE’s High Level
Architecture MATISSE’s agent
architecture MATISSE’s cell
controller architecture Conclusion
MAVs Lab, University of Texas at Dallas 11
Soterias’s Macro-level Components
CA-IVS Infrastruct
ure
Traffic Flow
Infrastructure
Interaction/Data Exchange
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The Super-Infrastructure
CAI Vehicle Infrastruct
ure
Cell Controller
Infrastructure
Traffic Flow
Infrastructure
MAVs Lab, University of Texas at Dallas
Introduction Overview of Soteria Micro Level
Components Macro-Level
Components
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Outline MATISSE
MATISSE’s High Level Architecture
MATISSE’s agent architecture
MATISSE’s cell controller architecture
Conclusion
MAVs Lab, University of Texas at Dallas
Multi-Agent based TraffIc Safety Simulation systEm
Simulation framework designed to specify and execute scenarios for Soteria
Vehicles, traffic lights, relays, data collection devices, and cell controllers are modeled as agents
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MATISSE
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CAI Vehicle agentManagementComponent
Vehicle1 Vehicle n
Vehicle–Vehicle Message Transport Service
…
CAI Vehicle Platform
Traffic Device agent
ManagementComponent
Traffic Light
Collection Device
Device –Device Message Transport Service
…
Traffic Device Platform
Controller-Traffic Device Message Transport Service
Controller-VehicleMessage Transport Service
Vehicle-Traffic Device Message Transport Service
MATISSE Agent-Environment System
Message Transport Service
Data Management System
Visualization Framework 2D
VisualizationSystem
3D VisualizationSystem
Environment Platform
…
Environment ManagementComponent
Controller 1
Controller n
Controller –Controller Message Transport Service
Env. Data
Managmt System
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Agent Architecture: Vehicles, Traffic Devices
Planning and Control Module
EnvironmentCommunication
Module
Task 1 Task n
Agent
Interaction Management Module
Task Management Module
Agent Communication
Module
…
Information ManagementModule
Self Model
Cell Model
Acquaintance Model
Constraint Model
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Cell Controller Architecture
Planning and Control Module
EnvironmentCommunication
Module
Task 1 Task n
Cell Controller
Interaction Management
Task Management
Agent Communication
Module
…
Information Management
Synchronizer
Agent Model
Linked Cell Model
Graph Model
Self Model
MAVs Lab, University of Texas at Dallas
Introduction Overview of Soteria Micro Level
Components Macro-Level
Components
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Outline MATISSE
MATISSE’s High Level Architecture
MATISSE’s agent architecture
MATISSE’s cell controller architecture
Conclusion
MAVs Lab, University of Texas at Dallas
Soteria: novel traffic organizational structure MATISSE: simulation system tailor-made for
Soteria Hybrid Systems
Implement both macroscopic and microscopic models
Use a top-down/bottom-up strategy
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Conclusion
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? : Centralized Setting of the Self-Adapting Perspective
CAI Vehicle Infrastruct
ure
Cell Controller
Infrastructure
Traffic Flow
Infrastructure
Micro-level: each autonomous agent influences and adapts to changes while interacting, cooperating and coordinating actions with other agentsMacro-level: cell controllers monitor and guide the global system behavior in a decentralized fashion,
MAVs Lab, University of Texas at Dallas
Thank you
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