IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

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IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research
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Transcript of IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

Page 1: IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

IBM Confidential © 2010 IBM Corporation

ITS ResearchAn IBM View

Anand Paul, IBM Research

Page 2: IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

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IBM S&D/Research

Jan 15, 2010 ITS Research Workshop IBM Confidential © 2010 IBM Corporation

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

Page 3: IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

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IBM S&D/Research

Jan 15, 2010 ITS Research Workshop IBM Confidential © 2010 IBM Corporation

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

Page 4: IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

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IBM S&D/Research

Jan 15, 2010 ITS Research Workshop IBM Confidential © 2010 IBM Corporation

Industry Solutions and Frameworks

Industry SolutionSolves 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 FrameworkA 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

Governance

Strategic Business Drivers

Industry Solutions

Industry Framework

SOA Foundation & Infrastructure

Page 5: IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

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IBM S&D/Research

Jan 15, 2010 ITS Research Workshop IBM Confidential © 2010 IBM Corporation

ITS Framework

Infrastructure

Intelligent TransportationIntelligent Transportation

IBM and Partner Solutions

Industry Framework

Athena: Government FrameworkAthena: Government Framework

Industry Extensions (Available Today or In Progress)

Key IBM Software Products

• Transport Information data model• Interfaces for roadside equipment• Cognos performance blueprints for transport e.g. transit,

roads/congestion, journeys - dashboards, reports, scorecards

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)

Transport Information Management• Traffic Prediction Tool (TPT), Journey

optimization and performance reporting

Fleet and Route OptimizationTransport Network Management

Integrated Fare Management• Automated Fare Collection and

Multi-modal transport billingPublic Transit OperationsIntelligent VehiclesMaximo for Transportation

Road User Charging• Road/Bridge/Tunnel Tolling, Congestion

charging and “Pay as you drive”Transport Asset ManagementTraffic Control and ManagementSmart Surveillance Solution

Partner EcosystemPartner EcosystemGBS/GTS AssetsGBS/GTS Assets

•Rational Integrated Architecture Profile

Information Architecture Vehicle Identification Rating Engine Transport Data Gateway

SOFS/DS8300 : Highly scalable for large storage requirements High redundancy for field required availabilityAccelerators: Cell for real time media processing Datapower Appliance for real time SOA interconnects

Hardened Platforms: BladeCenter-T, Services – for field ruggedness

Triton: SOA Foundation

Business Process Models Data Models

Page 6: IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

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IBM S&D/Research

Jan 15, 2010 ITS Research Workshop IBM Confidential © 2010 IBM Corporation

ITS Research Projects

WATSON• 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

HAIFA• License Plate Recognition• CARMEL

TOKYO• Megaffic – Mega Traffic Simulator

• ManyEyes Visualization Tool

CAMBRIDGE

Page 7: IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

Stream Computing for

Smarter Traffic Management

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)

ITS World Congress, Stockholm – September 2009

Page 8: IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

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The Need for New Intelligence brings New Challenges

•High Volume of 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

Page 9: IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

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Stream Computing IllustratedContinuous Ingestion Continuous Complex Analysis in low latency

Page 10: IBM Confidential © 2010 IBM Corporation ITS Research An IBM View Anand Paul, IBM Research.

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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

GPSData

Streams

Real Time Transformation

Logic

Real Time Geo

Mapping

Real Time Speed & Heading

Estimation

Real Time Aggregates & Statistics

DataWarehouseWeb

Server

GoogleEarth

Offlinestatisticalanalysis

Interactivevisualization

Storageadapters

Only 4 x86 Blade servers to process 250,000 GPS probes per second, maps of 630,000 line segments

Only 4 x86 Blade servers to process 250,000 GPS probes per second, maps of 630,000 line segments