Smarter Cities Dublin event
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1 Let s build a smarter city Smarter Cities Dublin event Xavier Rey-Robert Industry Solutions Architect
2 PART I: Toward a Smart Planet 3
3 Foul plea: One chicken s appeal for a smarter food system
4 Something Meaningful is Happening The world is SMALLER. The world is FLATTER. The world is about to get a whole lot SMARTER. 5
5 The World is Getting Smarter: Because it Must percent of electrical energy is lost due to inefficiencies in the grid. In one small business district in Los Angeles alone, cars burned 47,000 gallons of gasoline just looking for parking. Consumer products and retail industries lose about $40 billion annually due to inefficient supply chains. In a world where 820 million people are undernourished, $48 billion worth of food is thrown away each year in the US. Our healthcare systems can t link from diagnosis to drug discovery, providers, insurers, employers and patients. Financial markets spread risk but can t track it; this has led to undermined confidence and uncertainty. 6
6 The World is Getting Smarter: Because We Want it to Smart traffic systems Intelligent oil field technologies Smart food systems Smart healthcare Smart energy grids Smart retail Smart water management Smart supply chains Smart countries Smart weather Smart regions Smart cities 7
7 The need for progress is clear. 170 billion Kilowatt-hours wasted each year by consumers due to insufficient power usage information. 8
8 The opportunity for progress is clear. 10% REDUCTION IN ENERGY COSTS Utility networks: Pacific Northwest National Laboratory In the Smart Grid project, consumers decreased their overall peak load on the grid by 15% when offered the opportunity to save an average of 10% on their electricity bills Sam Palmisano speech, November 12, 2008
9 The need for progress is clear. 3.7 billion lost hours 2.3 billion gallons of gas Annual impact of congested roadways in the U.S. alone Smarter Planet Op-Ad
10 The opportunity for progress is clear. 20% LESS TRAFFIC Traffic system: Stockholm, Sweden The city cut traffic by 20%, lowered emissions by 12% and reported 40,000 additional daily users of public transportation Sam Palmisano speech, November 12, 2008
11 The world is about to get a whole lot smarter. 16
12 Something meaningful is happening. 17
13 Our world is becoming INSTRUMENTED Our world is becoming INTERCONNECTED Virtually all things, processes and ways of working are becoming INTELLIGENT 18
14 INSTRUMENTED We now have the ability to measure, sense and see the exact condition of everything. Today, there are 1 billion transistors for each person on the planet. 1 By 2010, 30 billion RFID tags will be embedded into our world and across entire ecosystems. 1 Everything will become instrumented: supply chains, healthcare networks, cities and even natural systems like rivers Sam Palmisano speech, November 12, 2008
15 INTERCONNECTED People, systems and objects can communicate and interact with each other in entirely new ways. The internet of people is 1 billion strong. Almost one third of the world s population will be on the web by There will be nearly 4 billion mobile phone subscribers worldwide by the end of The Internet of things cars, appliances, cameras, roadways, pipeline, pharmaceuticals and even livestock is headed to 1 trillion Sam Palmisano speech, November 12, 2008
16 INTELLIGENT We can respond to changes quickly and accurately, and get better results by predicting and optimizing for future events. Every day, 15 petabytes of new information are being generated. This is 8x more than the information in all U.S. libraries. 1 An average company with 1,000 employees spends $5.3 million a year to find information stored on its servers. 1 New computing models manage the massive amounts of data generated by the proliferation of end-user devices, sensors, and actuators. Combined with advanced analytics, these technologies are making us smarter New Intelligence White Paper from ThinkForward website
17 + + = An opportunity to think and act in new ways economically, socially and technically. 22
18 A smarter planet holds enormous promise for progress. 23
19 Today, businesses understand the need to drive greater efficiencies by taking action on energy, the environment and sustainability. LAWS, REGULATIONS AND STANDARDS Governmental regulations and laws are designed to reduce emissions of greenhouse gases, protect natural resources and limit further damage. STAKEHOLDER EXPECTATIONS From investors to market analysts, from employees to consumers and NGOs, the clamor for consideration of environmental and economic consequences of activities is growing. GROWTH OPPORTUNITIES Worldwide demand for greener products, technologies and services has opened up the best emerging market opportunities since the Internet boom of the 1990s. COSTS AND AVAILABILITY Leaders face rising costs and uncertain availability of energy, waste disposal, water and raw materials. Risks for physical assets due to climate change and global warming are real. 28
20 PART II: WHY A SPECIAL FOCUS ON CITIES? 29
21 Let s build a smarter city In 2007, for the first time in history, the majority of the world s population lived in cities 3.3 billion. By 2050, city dwellers are expected to make up 70 percent of the Earth s total population 6.4 billion. 30
22 Let s build a smarter city The city is a microcosm of the major challenges and opportunities facing the planet today intensified and accelerated. Here, all man-made systems come together and interact with one another. Government services Transportation Education Energy and utilities Public safety Healthcare 31
23 Let s build a smarter city Perhaps nowhere besides the city can we simultaneously increase the efficiency and sustainability of these systems to create the most livable environment for the greatest number of people. 32
24 Let s build a smarter city Smarter cities are working to infuse intelligence into their core systems. Government services Transportation Education Energy and utilities Analytics Measure relationships Run simulations Assess performance Establish goals and priorities Public safety Healthcare Results: Dashboard Measure progress Share status internally and with the public 33
25 Systems Dynamics backs up SimCity a god game and the single most influential work of urban design theory ever created Will Wright created SimCity in 1989 to imitate the dynamics of a city Users make decisions around 100 variables with each decision affecting other variables to create a functioning city a rising crime rate leads to a declining population, which erodes the tax base, which requires the cutting of some essential services less funding for the hospital, for example SimCity source code open sourced in 2008 as Micropolis SimCity has influenced city planning and analytic mechanisms like GIS that planners use SimCity has weaknesses: Cities start as blank slates, not works-in-progress Mayor is all-powerful; ignores interaction between decision stakeholders; Reflects extreme tendencies of development Ignores problems outside geographic or political control Lacks some sense of values transcending simple supply and demand that underlie planning
26 Let s build a smarter city Smarter transportation An opportunity to cut traffic by as much as 20%: Cities can infuse intelligence into their entire transportation system, improving drivers commutes, giving better information to city planners, increasing the productivity of businesses and raising citizens quality of life. Smarter public safety Because up to 45% of a city s budget goes to public safety: A smarter city uses advanced technologies and community-based approaches to anticipate and prevent not just respond to crimes and emergencies. Smarter energy and utilities An opportunity to reduce energy use by up to 15%: By providing real-time information about the flow of energy, an intelligent utility system helps citizens and utilities make smarter, more responsible choices about the way they buy, sell and manage electricity. Smarter education An opportunity to nurture our most valuable resource: Smarter cities take a systemic view of their education systems, evaluating students in multiple dimensions and equipping them to perform better both inside and outside traditional classroom environments. Smarter healthcare An opportunity to lower the cost of therapy by as much as 90%: A smarter healthcare system forges partnerships and makes better use of data in order to deliver excellent care, predict and prevent disease and empower people to make smarter choices. Smarter government services An opportunity to deliver needed services to all citizens: Increased information sharing and collaboration drives smarter decision-making across government agencies, service providers and other constituents. 35
27 PART II: Smart Transportation 36
28 Large metropolitan areas struggle to meet transport demand Congestion is a problem worldwide, resulting from demand exceeding capacity, and will only get worse Demand can be managed through pricing to a point, but growing cities will still require more capacity In dense urban areas, traditional construction of new capacity is prohibitively expensive, if possible This has lead to a recent shift in thinking, from hardware-oriented solutions to software integration Multimodal, real-time Transport Information Management can deliver more capacity from the existing network, delaying or obviating the need for massive infrastructure investments Better information can increase customer satisfaction and ridership of public transit systems, effecting modal shift Traffic Information Management can enable innovation in the way agencies measure performance Case Study: Boston Big Dig This massive project involved rerouting I-93 through the heart of Boston into a 3.5 mile tunnel, and construction of the Ted Williams Tunnel (extending I-90 to Airport), the Zakim Bunker Hill Bridge over the Charles River, and the Rose Kennedy Greenway in the space vacated by the previous I-93 elevated roadway after Costs of approx. US$14.7 billion for construction Over a decade of disruptions ( ) The total project cost was nearly twice as much as the construction of the 1,892 miles of I-95 from Houlton, Maine and Miami, Florida before Sources: Wikipedia, Big Dig (Boston, Massachusets), Washington State Dept. of Transportation, Highway Costs Study
29 IBM Intelligent Transportation Systems Offering Portfolio Innovation & Business Transformation Consulting Holistic analysis of ITS projects using IBM maturity model Focus on transport authority s IT framework: use of open standards, SOA Enable common solution components e.g. CRM, payment systems, enforcement Framework for future solutions, e.g. parking management, Pay As You Drive insurance Sold Through Strategy & Change + Industry Experts Road User Charging and Tolling (RUC) Technology and services assets that scale across highway / city / national schemes Design, build and operate schemes On board units, detection and validation, software platform/rating engine, financial clearing house, Business Process Services Integrated Fare Management (IFM) Transit payment system Cross-modal / intermodal capability Universal/Integrated transportation accounts Extendable to other services, e.g. parking, retail, identification Design, build and operate schemes Complex Services-Led Mega deals Transport Info Management (TIM) End-user traveler advice e.g. internet, 511, PDAs etc Network optimization Cross-modal / intermodal information Design and build Sold Through SWG/STG Transactions,/Lab Services + Industry Experts
30 IBM is providing Intelligent Transportation Solutions 1 Innovative Transport Pricing Traffic Prediction Pricing Models Demand Revenue Congestion PAYG Pollution - Emissions Data Collection Measure Behaviour Changes UK National / State Pay-as-you-go Services Netherlands Oregon End User Info. Transport Network Management Pro-active Decision support Incident response End-user Info & Advice Multi channel dissemination Real time advice Personalization Location awareness Route planning Data Fusion 2 Transport Information Management
31 IBM s Smarter Planet Reference Architecture provides the blueprint for a number of relevant smart applications. Citizens INFORMATION Contents Knowledge Communication Intelligent Analysis Applications Interfaces Simulations City Authorities Interconnected Normalization Reorganization ACTIONS Collaboration Cooperation Sharing Coordination Instrumented Sensors Actuators
32 Innovation & Business Transformation Consulting
33 Smart Transport Global Benchmark Average City Top 3 City: range Leading Practice Level 1 Silo Level 2 Centralized Level 3 Partially Integrated Level 4 Multimodal Integrated Level 5 Multimodal Optimized Planning Functional Area Planning (single mode) Project-based Planning (single mode) Integrated agency wide planning (single mode) Integrated corridorbased multimodal planning Integrated regional multimodal planning strategic planning Performance Measurement Minimal Defined metrics by mode Limited integration across organizational silos Shared multimodal system-wide metrics - Continuous systemwide performance measurement Customer Management Minimal capability, no customer accounts Customer accounts managed separately for each system/mode Multi-channel account interaction per mode Unified customer account across multiple modes Integrated multimodal incentives to optimize multimodal use Data Collection Limited or Manual Input Near real-time for major routes Real-time for major routes using multiple inputs Real-time coverage for major corridors, all significant modes System-wide real - time data collection across all modes real-time information creation capability Data Integration Limited Networked Analytics Ad-hoc analysis Periodic, Systematic analysis Common user interface High-level analysis in near real-time 2-way system integration Detailed analysis in real-time Extended integration Multi-modal analysis in real-time Payment Methods Manual Cash Collection Automatic Cash Machines Electronic Payments Multimodal integrated fare card Multimodal, multimedia (fare cards, cell phones, etc) Network Ops. Response Ad-Hoc, Single Mode Centralized, Single Mode Automated, Single Mode Automated, Multimodal Multimodal Real-time Optimized real-time intervention capability Incident Management Demand Management Manual detection, response and recovery Individual static measures Manual detection, coordinated response, manual recovery Individual measures, with long term variability Automatic detection, coordinated response and manual recovery Coordinated measures, with short term variability Automated preplanned multimodal recovery plans Dynamic pricing Dynamic multimodal recovery plans based on real-time data Multimodal dynamic pricing Traveler Information Static Information Static trip planning with limited real-time alerts Multi-channel trip planning and accountbased alert subscription Location-based, onjourney multimodal information Location-based, multimodal proactive re-routing Multimodal Network Management Maturity Model version 1.1 Copyright IBM Corporation 2007
34 Intelligent Transport Systems Road Charging
35 Stockholm Congestion Charging System A Huge Success The Outcome Exceeded all Expectations 25% reduction in traffic volume, removing 100,000 peak hour vehicles. Stable and sustained Increase of 40,000 mass transit users per day. Bus schedules speeded up 30 50% reduction in queue times Decreased Emissions 14% in city, 2.5% in county Public Opinion increasingly positive, media, individuals and businesses - 19% - 21% - 9% Service levels Call Center: 80 percent of all calls should be answered within 60 seconds. Customer service channels: No less then 99,9% of minutes down time Traffic Data Capturing: No less then 99,9% of lane minutes down time Maximum error invoicing: One out of % - 26%
36
37 Stockholm Congestion Tax Project - Case Study 25% reduction in traffic entering cordon Clearly Measurable Results 15% reduction in CO 2 emissions Key success factors $120M/yr in revenue to City of Stockholm; payback in 4 years Congestion charges will fund transit improvements Source:
38 London Congestion Charging Scheme Features of the Current System A zone-based congestion charging system with operating hours of 7AM 6:30PM. There is a charge to drive or to park on a public street in the charging zone The charge is 8 if it is pre-paid or paid by midnight on the travel day or 10 if you pay by midnight the following day. A fine of 100 is assessed if congestion charge is not paid by midnight the following day Multi-channel payment options: Online, retail outlets, mail, telephone, SMS text message from a mobile phone, internet kiosks The charge is enforced by a network of cameras. The cameras are not a charging mechanism, but primarily an enforcement mechanism
39 London Congestion Charging Scheme Key Features of the Future Redesigned System 2 year design and build phase, 5 year operate phase, with options to extend Switch over from current system in Nov 2009 IBM is building a new central system and will operate two 250+ call centres to run the scheme Roadside Infrastructure procured separately Transport for London expects to achieve Future flexibility Scalability Reduce operational costs Key features of new system Account based Variable pricing On Board Units (OBU)
40 IBM Integrating Tolling Operations in Brisbane, Australia Queensland Motorways, Ltd. is Australia s Largest Toll Road & Bridge DBMO Over 69 million vehicles now travel on their road network; in 2008/09, over 76 million vehicles are anticipated IBM Recently Won Central IT System Contract Built on IBM s Stockholm / London ITS Model
41 Intelligent Transport Systems Fare Card Collection
42 Dublin Integrated Fare Management Dublin s AFC Solution addresses: 250,000 initial SmartCard population 2 million transactions per day projected Multiple public transport modes Integrated back-office system to provide central reconciliation and settlement services to all participants Future micro-payment retail expansion Deal Information: Sub-contractor MSi Global to provide application solution using solution in Singapore as template IBM Cross-Brand Response Package implementation model adopted Project timeframe 18 Months build & 2 years warranty Global Business Services Global Technology Services IBM Server Technology Group
43 Integrated Fare Management Value Capture through complex integration, SOA/SW based architecture, Blue- Ecosystem partners in Major and Growth Markets IBM Value Creation & Value Capture Scope Central Processing Systems Station-side Equipment Station Systems Communications Network Infrastructure Station-side Communications Network Infrastructure Fare Media Contactless Smart Tickets & Cards
44 Intelligent Transport Systems Transport Information Management
45 Transport Information Management Data Sources Individual Tpt Modes External Systems Camera & Video Telematics External External data: data: weather, weather, schedules schedules Information Creation Subsystem Interfaces Data Fusion Data Transformation Data Expansion Data Management Database Multimodal Data Model Info Server (DataStage, QualityStage, Federation Server) EDI Reference Architecture Analytics Forecasting Incident Detection Decision Support Network Status Data Model Spatial Extenders Advice to End User Location Services Route Planning Advice Svcs Notification User Profile Mgmt Insight to Network Mgr & Stakeholders Performance Portal SLA & Performance Data Models Live Dashboard Services Performance Determination Maturity Model
46 Traffic Prediction Tool (TPT): Singapore Land Transport Authority Issue: real-time is too late Little automated use is made of the gigabytes of real-time traffic data today; often, by the time it is received, it is no longer representative of the actual traffic IBM Innovation: forecast the future IBM s TPT provides a layer of intelligence by using sensor data in sophisticated algorithms that create relevant insights from the raw data volume black = actual TPT accurately forecasts future traffic conditions. blue = forecast time red = incident rr r r r r r r rr r r r r r r r r Current Focus: Traffic Operations: Variable Message Sign setting; traffic signal timing, ramp metering Future Use: Traffic Planning; Dynamic Road Pricing; congestion based tariff setting; route planning & advice Extension: Data Expansion: develop algorithm to fill in gaps of real-time sensor data, resulting in a complete picture of future traffic state, network-wide
47 Network response example Anticipating the problem Tuesday, 3:05PM outbound traffic is heavier than is typical Traffic is still flowing smoothly, but volumes could spell disaster for evening commute Significant Delays Likely Greater than normal traffic on feeder routes will likely lead to significant delays on Hwy 101
48 Network response example Enables preventative response, not cleanup after the fact Lane control employed to open additional outbound lane Traffic signal timing patterns adjusted along parallel arterials Frequent riders of bus routes along problem corridors sent message warning of potential commute troubles Variable message signs display alternate route information
49 Next Step: Traffic Data Expansion Algorithm When sensors are not present or do not provide any data on some links, the IBM Data Expansion Algorithm can be used to provide consistent estimates of the real-time traffic characteristics across the entire network. Based on probability theory combined with network flow techniques, the Data Expansion Algorithm propagates the most likely traffic flows from equipped links that are providing real-time data, to those neighboring links that are not producing real-time data. The algorithm determines the likely traffic characteristics on the non-equipped links that are consistent with the real-time data produced on equipped links. In conjunction with the TPT, the Data Expansion Algorithm allows for a complete network-wide picture of the likely future traffic state, across the network. Red-colored links indicate those with sufficient data for use of TPT. Green-colored links indicate those principal roadways in the Singapore s Central Business District
50 Let s build a smarter city PART IV: Smart Cities Ecosystem 60
51 IBM s partners are an important element to building smarter systems.
52 Business Partners Play a Key Role in IBM s Industry Framework Go to Market Approach Global Systems Integrators Global Systems Integrators Industry thought leadership Global delivery expertise Industry solutions and assets Regional Systems Integrators Client relationships Entry into growth markets Regional expertise and market penetration VAR s & VAD s Expansion to new Geo s Competitive IBM pricing Value added services ISV s Industry assets and skills Key industry applications Growth through solution replicability Non-Traditional Partners Smarter Planet strategic solutions Key technologies that leverage IBM software Unique value proposition Introduction Ecosystem Approach & GTM Strategy
53 Working together to build a smarter city SMART CITY
54 What smart things are happening in your industry today? Where are the greatest opportunities for progress? 64
55 We ve only just begun to uncover what is possible on a smarter planet. The world will continue to become smaller, flatter and smarter. We are moving into the age of the globally integrated and intelligent economy, society and planet. The question is, what will we do with it? 65
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