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ITS Research An IBM View

ITS Research An IBM View. Anand Paul, IBM Research. Current Trends. Greater interest in road user charging, e.g., US, Korea Making public transport more attractive, e.g., Singapore, London Increased provision of end-user information and network optimisation, e.g., London

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ITS Research An IBM View

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  1. ITS ResearchAn IBM View Anand Paul, IBM Research

  2. Current Trends • Greater interest in road user charging, e.g., US, Korea • Making public transport more attractive, e.g., Singapore, London • Increased provision of end-user information and network optimisation, e.g., London • Increasing multi-modal integration, including backend infrastructure, e.g., San Diego • Increased organizational re-structuring across transport modes, e.g., Dubai • Increasing innovation and public-private partnerships, e.g., US, UK and Singapore • Green Agenda

  3. Research/Collaboration Competencies • Transport Information Management • Integrated Transport Information Management • Multi Modal Transport Architecture and Technology • Next Gen Technology Infrastructure • Transportation Optimization and Planning • Advance traffic prediction, simulation and modeling • Multimodal operations optimization • Next Generation Road User Charging • Identification and Positioning solutions • Telematics and Intelligent Vehicles • High Performance computing • Road User Charging business model innovation • Transport platform of the future • Developing platforms for future Value Added Services • Defining and developing open standards, programming models and data architecture for transportation systems • Security and privacy

  4. Industry Solutions and Frameworks • Industry Solution • Solves a customer’s problem through a combination of: • Industry and subject matter expertise • Defined IP, applications, tools, and methodologies • Business Partner content • Global delivery model • Industry Framework • A software platform based on business specific usage patterns, and: • Includes industry-specific extensions • Business and technology standards • Based on SOA and IOD • Leverages an ecosystem of independent partners Strategic Business Drivers Industry Solutions Industry Framework SOA Foundation & Infrastructure Governance

  5. Key IBM Software Products ITS Framework Intelligent Transportation • Road User Charging • Road/Bridge/Tunnel Tolling, Congestion charging and “Pay as you drive” • Transport Asset Management • Traffic Control and Management • Smart Surveillance Solution • Integrated Fare Management • Automated Fare Collection and Multi-modal transport billing • Public Transit Operations • Intelligent Vehicles • Maximo for Transportation • Transport Information Management • Traffic Prediction Tool (TPT), Journey optimization and performance reporting • Fleet and Route Optimization • Transport Network Management IBM and Partner Solutions Partner Ecosystem GBS/GTS Assets • Information Architecture • Vehicle Identification • Rating Engine • Transport Data Gateway • Business Process Models • Data Models Athena: Government Framework Industry Extensions (Available Today or In Progress) • Transport Information data model • Interfaces for roadside equipment • Cognos performance blueprints for transport e.g. transit, roads/congestion, journeys - dashboards, reports, scorecards • Rational Integrated Architecture Profile Industry Framework • Information Mgmt. • DB2 database management • Information Server • Enterprise Content Mgmt. • Cognos • WebSphere • BPM Suite • Commerce • Business Events • Sensor Events • ILOG • DataPower • Rational • IAM2 - Software Architect • Telelogic System Architect • RequisitePro , DOORS • Clearcase /Clearquest • System Architect • Buildforge, AppScan • Asset Manager • Tivoli • Monitoring / Netcool • Security Access and Compliance • Workload Scheduler • Provisioning and Change Management • Storage Management • Maximo • Lotus • Portal Server • Expeditor (Microbroker and MQTT) Triton: SOA Foundation SOFS/DS8300 : Highly scalable for large storage requirements High redundancy for field required availability Accelerators: Cell for real time media processing Datapower Appliance for real time SOA interconnects Hardened Platforms: BladeCenter-T, Services – for field ruggedness Infrastructure

  6. ITS Research Projects WATSON HAIFA • Video Surveillance • Video Encoding • Traffic Prediction Tool • Camera-based Driver Assistance • Usage-based Pricing Enforcement • mm-Wave Technology • Wireless Sensor Networks • TOPAZ • Automotive Conversational Technologies • Mobility and Analytics • Infosphere Streams / Stream Computing • Responsive, Reliable, and Realtime (R3) Messaging • PSTAR • Smarter Cloud Services • License Plate Recognition • CARMEL TOKYO • Megaffic – Mega Traffic Simulator CAMBRIDGE • ManyEyes Visualization Tool

  7. Stream Computing for Smarter Traffic Management ITS World Congress, Stockholm – September 2009 A collaborative effort between IBM Research, IBM Sweden and the Division of Transportation and Logistics at the Royal Institute of Technology (KTH) With data provided by Swedish Road Administration, Trafik Stockholm (http://w3.tap.ibm.com/medialibrary/media_set_view?id=9389)

  8. The Need for New Intelligence brings New Challenges • High Volumeof data: Faster than a database can handle • Complex Analytics:: Correlation from multiple sources and/or signals; video, audio or other non-relational data types • Time Sensitive: Responses required in under a millisecond

  9. Stream Computing Illustrated Continuous Ingestion Continuous Complex Analysis in low latency

  10. Traffic Management for Sustainability and Efficiency • Multimodal Data Streams • GPS • Cell-phones (location tracking), • Public Transport (bus, docking), • Pollution measurements, • Weather Conditions (including road conditions) • Optical traffic flow detectors, • Travel time data based on plate recognition, • Induction loop detector data, • Accidents in network as they are being recorded, • Road closures (road work, etc), • Still pictures from road cameras. • Real Time Traffic Monitoring • Real Time Traffic Information • (Multimodal) Travel Planner Real Time Transformation Logic Real Time Geo Mapping Real Time Speed & Heading Estimation Real Time Aggregates & Statistics GPS Data Streams Storage adapters Interactive visualization Data Warehouse Only 4 x86 Blade servers to process 250,000 GPS probes per second, maps of 630,000 line segments Web Server Offline statistical analysis Google Earth

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