
Seamless Coordination of Cyber-Physical Intelligent Transportation Systems
"Explore a project focused on establishing a Cyber-Physical Platform for urban informatics integration, city service delivery, and IoT sensor coordination. Learn about the challenges and solutions in merging software services with physical sensor data in intelligent transportation systems. Discover the innovative Ontological ITS Architecture emphasizing interoperability and automation for a more connected and efficient urban environment."
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Presentation Transcript
PROJECT 1.2 CPS-ATIS PLATFORM SEAMLESS COORDINATION OF CYBER-PHYSICAL INTELLIGENT TRANSPORTATION SYSTEMS MOHAMED ELSHENAWY
OBJECTIVE: A Cyber-Physical Platform capable of: 1. Acquiring real-time urban informatics provided by interconnected sensors, wearable devices, and smart phones (aka internet of thing (IoT)); 2. Transcending acquired informatics into knowledge and awareness of city dynamics; 3. Applying of the acquired situational & contextual knowledge to intelligently deliver city services.
WHAT IS CYBER? Software components (services) such as general-purpose statistics, prediction algorithms, clustering algorithm, etc.
WHAT IS PHYSICAL Sensors and devices generating data at high rates reflecting a detailed status of the city infrastructure
CHALLENGES LACK OF COORDINATION Current ITS solutions are mostly stand-alone systems that are used by a small group of users with little or no support for larger scale collaboration and integration. Incompatible data models, data formats, communication protocols, and implementation technologies limit the interoperability among the composed services and sensors and reduces the end-to-end integrity of the shared information across the different applications. The lack of intelligent and autonomous mechanisms to automatically discover and select IoT sensors and cloud services. The lack of intelligent and autonomous mechanisms to compose and coordinate selected sensors and services
Integration: ITS-CPS Service Management Infrastructure Interoperability: ITS-CPS Ontological Model + ITS Standards Automation: Hierarchical Task Networks
Ontological ITS Architecture: Interoperability Automation Automatic Service Discovery Domain Definition Task Planning Service Management Infrastructure ITS-CPS Knowledge Graph SOA Integration Context Management Service Invocation Context Dispatch Service Registry Annotation Context Processing Versioning Service Chaining Rule-based Engine Data Mapping/ Transformation Context Aggregation Services Sensors
ITS-CPS Framework Service Management Infrastructure World State Context Management Sensor Data Data Mapping /Transformation Physical Smart City Subsystem Domain Definition Service/Sensor Discovery Task Planner Provisioning Synthesized Workflow Abstract Workflow Actions ITS-CPS Knowledge Graph browse
DOMAIN DEFINITION Stakeholders need to define: Needs Scope An Operational Plan Constraints
ITS-CPS Framework Service Management Infrastructure World State Context Management Sensor Data Data Mapping /Transformation Physical Smart City Subsystem Domain Definition Service/Sensor Discovery Task Planner Provisioning Synthesized Workflow Abstract Workflow Actions ITS-CPS Knowledge Graph browse
TASK PLANNING Produces an ordered sequence of tasks according to the current situational information. Collect Emergency Traveller Data Collect Traffic Data Collect Price Data
ITS-CPS Framework Service Management Infrastructure World State Context Management Sensor Data Data Mapping /Transformation Physical Smart City Subsystem Domain Definition Service/Sensor Discovery Task Planner Provisioning Synthesized Workflow Abstract Workflow Actions ITS-CPS Knowledge Graph browse
AUTOMATIC SERVICE DISCOVERY Produces an a synthesized workflow that can be executed by the service management infrastructure module Hwy401_Eleme nt 5951398 Selected segment of highway 401 Speed Loop_Detector_X startTime MTO Sensing_Service_Y Sensing_Service_Y_Pr ofile satisfies Functional_Req Collect, process, digitize, and send traffic sensor data (speed, volume, and occupancy) Collect Traffic Data trafficData endTime
ITS-CPS Framework Service Management Infrastructure World State Context Management Sensor Data Data Mapping /Transformation Physical Smart City Subsystem Domain Definition Service/Sensor Discovery Task Planner Provisioning Synthesized Workflow Abstract Workflow Actions ITS-CPS Knowledge Graph browse
SERVICE MANAGEMENT INFRASTRUCTURE Service Portal Technical Portlets Social Portlets APIs Context Management Service Management Context Dispatch Service Invocation Service Registry Service Chaining Context Processing Message Validation Monitoring Versioning Context Gathering Data Mapping/ Transformation
MILESTONES (YEAR 1 & YEAR 2) Task Encoding of the ITS architecture as it pertains to Advanced Traveller Information Systems using ontological models in coordination with Project 1.1. Encoding of ITS situational content and capturing temporal and spatial urban transportation dynamics based on the resource description framework. Developing big data analytics mechanisms for the adaptive management of hierarchical service composition through semantic mapping of abstract workflows to execution-time workflows. Specifying requirements for the integration with ONE- ITS and IBM IOT. Year Year 1 Progress Completed Year 1,2 In-progress (70%) Year 2 Not Started Year 2 Not Started
QUESTIONS? Mohamed.Elshenawy@mail.utoronto.ca