ONE-ITS Science Gateway

Transcription

1 Science Gateway None of us is as smart as all of us B. Abdulhai, Ph.D., P.Eng. Canada Research Chair in ITS Director, Toronto ITS Centre, U of Toronto M. El-Darieby, Ph.D., P.Eng. Chair, Software Systems Eng., U of Regina China Egypt (slide:1)

2 Critical Mass (relative to the US, Europe and Asia) ITS knowledge is scattered among many stakeholders National Glue Strong enough to create critical mass Elastic enough to maintain independence and flexibility in creativity, i.e. loose coupling Diverse and Broad interdisciplinary Focused and Deep topic-based flocking of experts Minimal Government Infrastructure responsibility National in scope, international leadership (slide:2)

3 Current ITS solutions are mostly standalone systems that are used by single/ small group of users Advancing ITS applications is typically a laborintensive, inflexible and slow process Very limited sharing of ITS infra- and info-structures. Characterized by using older technologies, architectures and programming techniques; (slide:3)

4 CAN-vii Involving and Serving Mobile travelers Cars as probes ITS Content Delivery Min. infrastructure deployment Ubiquitous, Mobile and real-time Sharing ITS Resources Data Remote Equipment Experiments & results Software modules.. Resource Centre Knowledge Centre Building Collective ITS Intelligence Stakeholders & Public engagement Socio-technical networking Democratization of innovation Harness the power of the crowd: ITS community as innovators (slide:4)

5 TC ITS Canada (slide:5)

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9 Establish a web-based distributed collaborative ITS environment Build and share ITS services, accessible from anywhere Develop integrated ITS process models editable by community-of -practice and -interest. Leverage ITS facilities, equipments, knowledge Canada (slide:9)

10 CAN-vii Involving and Serving Mobile travelers Service-Oriented Middleware IaaS Bluetooth, Wi-Fi, DSRC, WMN Sharing ITS Resources VO SOA-- SaaS Portal Mashup Resource Centre Knowledge Centre Building Collective ITS Intelligence Social Web Knowledge Collection Web2.0 Semantic Web Knowledge Management Web3.0 (slide:10)

11 Ontology Web 2.0 Strategic Tactical Operational Business Models Knowledge Mgmt. Model- Driven Arch. Service Oriented Arch. Data Eng. OGSA Composability Acquisition Modeling Management (slide:11)

12 is one coin with two sides: 1. Democratic Virtual Organization: Socio-Technical Network 2. Web-based service-oriented & model driven platform allows ITS stakeholders capture business logic in business models ITS Operational Models are realized in the form of online ITS services. Collaborators contribute and benefit from shared models, services and resources. (slide:12)

13 ITS Centres: e.g. The ITS Testbed -- a $5.2 million research facility operational since 2001 Other HPC facilities Compute Canada: Sci Net and WestGrid Local HPC clusters at UofT, UofR and others Sensors and real-life data from Toronto, Regina and other CANARIE high-speed inter-connects User Controlled Light Paths (UCLP) Other (slide:13)

14 Go beyond ICAT and create VO Stakeholders include researchers, government agencies, local operators, vehicle manufacturers, traveler information service providers, media outlets, police, fire and emergency services, extensible all the way down to the individual travelers. the governance model should recognize that: ONE ITS is a national, networked resource The prime goal of ONE ITS is to integrate people, ideas, and tools in a collaborative environment. (Hierarchical or layered) open but secure access Board of Directors, committees, members, policies and guidelines (slide:14)

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17 Example Applications Stand-alone Web Services Repository for ITS raw and processed data HPC resources- CPU cycles Workflow Models, data dictionaries Educationaltutorials, workshops, videos Video conf. Wiki, Forums, News, Calendar, Social Networks (slide:17)

18 Browser Presentation layer Presentation Helper Services GCharts GMaps Web Portal Server Route Guidance Portlet ITC Portlet Virtual Wall Portlet Vehicle Track Portlet Admin Portlet Utility Portlets Services interface layer ITS Application Services ITS Task Services Travel Time Estimation ITS Foundational Services GIS Route Guidance Shortest Route Evaluation Freeway Performance Evaluation Route Status Info System Optimization Arterial Performance Evaluation Integrated Traffic Control Traffic Simulation CMS Status info Traffic Divergence Vehicle Tracking Ramp Flow Evaluation Ramp Control Image Collector Vehicle Track info Virtual Wall Virtual Wall Prepare Fast Camera Access Legacy ITS Applications Data Access Layer Data Mapper services Data layer Data Bases Data Grabbers Arterial Data Data Grabber Servoces Freeway Data Image, CMS Data Hardware Access Services Video Grabber/ Encode External Databases MTO, City of Toronto, etc Hardware Video Camera, WiFi-BT equipment, etc (slide:18)

19 Browser Presentation layer Presentation Helper Services GCharts GMaps Route Guidance Portlet ITC Portlet Virtual Wall Portlet Vehicle Track Portlet Admin Portlet Web Portal Server Utility Portlets Services interface layer ITS Application Services ITS Task Services Travel Time Estimation Route Guidance Shortest Route Evaluation Route Status Info System Optimization Integrated Traffic Control Traffic Simulation Traffic Divergence Vehicle Tracking Ramp Control Vehicle Track info Virtual Wall Virtual Wall Prepare ITS Foundational Services GIS Freeway Performance Evaluation Arterial Performance Evaluation CMS Status info Ramp Flow Evaluation Image Collector Fast Camera Access Data Access Layer Data Mapper services (slide:19)

20 Browser Presentation layer Presentation Helper Services GCharts GMaps Route Guidance Portlet ITC Portlet Virtual Wall Portlet Vehicle Track Portlet Web Portal Server Admin Utility Portlet Portlets Services interface layer ITS Application Services ITS Task Services Travel Time Estimation Route Guidance Shortest Route Evaluation Route Status Info System Optimization Integrated Traffic Control Traffic Simulation Traffic Divergence Vehicle Tracking Ramp Control Vehicle Track info Virtual Wall Virtual Wall Prepare ITS Foundational Services GIS Freeway Performance Evaluation Arterial Performance Evaluation CMS Status info Ramp Flow Evaluation Image Collector Fast Camera Access Data Access Layer Data Mapper services Hardware Access Services (slide:20)

21 User / Organization User Request Data presentation Mashup website Data Manipulation API Call Data API Call Data Website 1 Website 2 (slide:21)

22 Virtual Camera Portlet Live Video Feed of MTO Cameras (slide:22)

23 Presentation Layer Business Layer Resources & Data Layer Application Server Browsers HTML/ HTTP Web Server Portlet Container Portlets SOAP Firewall ITS Applications Services SOAP ITS Task Services SOAP Firewall GT 4.0 UCLP Firewall Presentation Helpers SOAP ITS Foundational Services JDBC Data bases (slide:23)

24 Legacy Database Legacy Application Data Services Service Adaptor JBoss ESB Services Client Web Services Portal (slide:24)

25 different tabs/ city Different Mashups Data for different Cities Traffic Data from Cameras, sensors, etc Example: travellers report incident location; MTO operators zoom in the nearest camera and record video of accident (slide:25)

26 ONE- ITS U of R U of T HPC Equipment Field Equipment HPC Equipment Field Equipment Server Farm Linux, Windows Municipal ITS Mesh Network Server Farm Linux, Windows Data Capture Video Frames Still Capture (slide:26)

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30 Presentation Internet Browser Knowledge Center Resource Center Knowledge Management Web 3.0 ITS Services Portals Knowledge Creation Web 2.0 Service Integration Governance Management & Security Foundational ITS Services Data Services ITS physical Resources Data CAN-VII Legacy ITS Infrastructure Computational Resources (slide:30)

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32 Access Gateway Virtual Link Access Fixed Network Wireless Mesh Router (slide:32)

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35 ITS infrastructure should follow business s requirements. Innovative new ITS applications models can be built on Virtualized infrastructures. WS WS WS WS Traffic Network Virtualized Resources CMS/ Video Camera Loop Detectors WiFi Router DSRC (slide:35)

36 Detected car location Wireless Access Point Presumed car path (slide:36)

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38 Data Access Interfaces Data Objects ITS compliant DB ITS Data files (.csv,.edi, ) Smooks Data Mappers (ibatis) Transformation Scripts Hibernate Data Transformation (e.g., specific HSQL written) Legacy ITS DB 2 Legacy ITS DB 3 ITS compliant DB views Legacy ITS DB 1 (slide:38)

39 source: Transport Canada (slide:39)

40 Organizational Structure Advisory Board Core Investigators Operational Board Organizational Reps* * Functional Steering Committee Chair: Dr. Abdulhai * Technical Steering Committee Chair: Dr. Darieby Project Manager TBD Development Infrastructure Systems Infrastructure DBA Security Business Analysts Support & Liaison Chief Architect General Institutional Resources ** QA Manager Configuration Manager UI Expert Documentation Coordinator Project Analyst/Admin Program Communications Senior Designers Lead Subject Matter Experts* Technologists (Lead Developers)* Technical Focus * Representation from each Founding Institution ** May be consulted from time to time during Architectural Phase (slide:40)

41 CIM PIM PSM Strategic Tactical Operational (slide:41)

42 Service- Oriented Build Deploy Sharing Resources ITS Solutions Design Analyze Model- Driven Collaborative VO s (slide:42)