IBM Smarter Transportation Management Predicting, Managing, and Integrating Traffic Operations Peter Byrn M.Sc. GeoInformatics Sales Leader, Nordic Intelligent Operations IBM Software Group Industry Solutions 2014 IBM Corporation
Agenda About IBM Smarter Transformation Management Core capabilities of the platform Smarter Transportation in action Summary 2014 IBM Corporation 2
About IBM the transition over time more than 100 years of innovation IBM Model B Typewriter The IBM 533 Card Read Punch unit IBM 705 Data Processing Machine IBM Personal Computer model 5150 IBM Lenovo T410 2014 IBM Corporation 3
Smarter Cities Turning Big Data into Insight 2014 IBM Corporation 4
Smarter Transportation Management 2014 IBM Corporation 5
Transportation Management realities Ever-increasing demand while budgets and expansion are constrained Transportation maturity directly impacts economic vitality High expectation to deliver quality services and timely information Basic obligation to keep citizens safe and manage incidents fast Until recently we had a fragmented view of the overall health and real-time status of Dublin s transport network, making it very difficult to identify traffic congestion in its early stages because the causes of a delay had often moved on. Brendan O Brien, head of technical services, Roads and Traffic Department, Dublin City Council 2014 IBM Corporation 6
Traditional vs Smarter approach Offers tremendous opportunity Increase quality and improve services and engagement Help make organizations be more efficient Delivers essential services with flexibility and efficiency Improve reputation of organizations services Improve safety and satisfaction of citizens Traditional Approach Proprietary solutions IBM s Smarter Approach Open architecture Componentized solutions Single vendor lock-in Equipment-driven procurement Independent from roadside equipment vendors Service-driven solution with customer experience focus Transaction reporting Advanced analytics 2014 IBM Corporation 7
Smarter Transportation Management brief overview 2014 IBM Corporation 8
IBM can take you to the next level Ad hoc based deployments: Video walls, little sensor data Manual identification of issues No active decision support system After-the-fact analysis Green screen device control, status check Telephone, pager collaboration Whiteboard and paper planning, optimization Operator experience vital for success Intelligent solution: Capture traffic data Monitor, visualize, analyze System-wide integrated operation Data driven decision support Proactive management of performance and issues Collaborative problem solving tools Citizen-inclusive solutions Automate, notify, coordinate Open scalable software centric platform 2014 IBM Corporation 9
Core capabilities of the platform 2014 IBM Corporation 10
Deeper Capabilities Broader Capabilities Smarter Transportation Management :: IBM Intelligent Transportation System IBM's solution provides a suite of Core & Extendible capabilities Smarter City Smarter Citizen External Integration IBM Intelligent Transportation System a comprehensive core platform Video Analytics Real Time Data Analytics Simulation Public Transit Management Strategic Road Network Mgmt Intelligent Decision Support 2014 IBM Corporation 11
IBM's solution provides a suite of Core & Extendible capabilities Video Management Systems Various (near) real time data sources Smarter Traffic Management Stream Computing and Analytics Static data sources IBM IVA IBM ITS operations Analytics/ Correlation Event services Traffic guidance control Action and Decision Support Police Emergency Tax Custom Auth. Others... Public Others COP Investigations Situation Awareness Investigations Alternative routes App develop. 2014 IBM Corporation 12
IBM Intelligent Transportation and Video Analytics solution capabilities Congestion management Incident management Schedule management Integrated operations Gain insights into patterns of traffic behavior, predict traffic congestion, execute optimization Automatically detect incidents, engage citizens, initiate emergency operations Understand current vehicle locations, predictive insights on arrival times, unsafe patterns, etc. System-wide visibility with near-real-time, high volume data integration, fusion Improve traffic flow, increase capacity of infrastructure Faster incident response, improve citizen safety Improve ridership, increase revenue Improve operational efficiency 2014 IBM Corporation 13
Smarter Transportation in action 2014 IBM Corporation 14
IBM Smarter Transportation Management in action A turnpike authority in the United States analyzes traffic and road conditions to help improve traffic flow and ease congestion Greater than 96% accuracy for 30-minute-out traffic predictions in early live tests Cologne, Germany pilots a solution using near-real-time information and predictive analytics to anticipate and avoid traffic jams before they occur More Reduces rapid traffic response congestion to traffic by jams at and least crowds, 10%, helps reducing predict wait traffic times patterns and helping up to an ensure hour in capacity the future 2014 IBM Corporation 15
IBM Smarter Transportation Management in action Dublin City Council improves traffic flow by using big data analytics to predict bus arrival and transit times Improves bus service for citizens by helping ensure buses stay on schedule Finnish Transport Agency is integrating and analyzing existing roadway data to improve road maintenance and make motorways safer, easier to navigate Locating and repairing trouble spots faster and more effectively across 78,000 km of roadway 2014 IBM Corporation 16
IBM Technology and Best Practices offers Business and Service Benefits Reduce costs while increasing operational efficiency Improve commuter safety and travel experiences Accelerate incident response times Up to 10% Up to 15% Up to 25% Provide more-accurate and timely citizen advisories Up to 60 minutes earlier Increase traffic flow, transit ridership, occupancy and revenue Up to 25% Decrease or defer infrastructure investments Up to 20% Result: Transformative, centralized management of traffic and transit operations built on advanced analytics and collaborative processes 2014 IBM Corporation 17
Summary 2014 IBM Corporation 18
Summary of ITS/TMC outcomes: IBM bring industry leading capabilities for traffic operations and services Increased traffic flow Improved operational efficiency Improved commuter safety and travel experience Faster response to incidents Accurate and timely citizen advisory Better utilization of current assets ITS/TMC require System-wide integration & visibility Vendor, technology agnostic device integration Advanced decision support with optimization Active Traffic Management (ATM) enablement Incident management tools & techniques Cross-agency collaboration tools IBM delivers System-wide, real-time visibility of traffic, incidents, assets Standards-based integration with all external entities Predictive analytics, traffic optimization control plan engine Coordinated device control framework to support ATM Automatic incident detection, Standard Operating Procedures Tools to share single view of truth, collaborate cross-agency 2014 IBM Corporation 19
Summary of ITS/TMC business outcomes Reduced congestion, reduced schedule misses and faster response to incidents Reduced cost of operations and increased revenue and ridership Improved citizen safety and satisfaction Improved traffic flow, more capacity with current infrastructure Less gridlock Faster response to incidents More on-time arrivals Improved revenue Improved ridership Faster response to incidents Reduction in citizen complaints Fewer accidents Reduction in average travel time More on-time arrivals 2014 IBM Corporation 20
Thank you. For additional information, please contact: Peter Byrn IBM Nordic +45 5163 8561 peterbyrn@dk.ibm.com 2014 IBM Corporation 21
Trademarks and notes IBM Corporation 2014 IBM, the IBM logo, and ibm.com are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with the appropriate symbol, these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at Copyright and trademark information at www.ibm.com/legal/copytrade.shtml. Other company, product, and service names may be trademarks or service marks of others. References in this publication to IBM products or services do not imply that IBM intends to make them available in all countries in which IBM operates. 2014 IBM Corporation 22
A turnpike authority in the United States analyzes traffic and road conditions to help improve traffic flow and ease congestion >96% accuracy rate for 30-minute predictions in live tests Boosts operator productivity so that the same number of staff members can manage more devices Helps maximize traffic flow by predicting congestion and preventing backups from happening Business Challenge: As the roads under this authority s responsibility expand, the number of devices used to monitor and manage traffic also increases. Operators were overwhelmed, viewing seven traffic screens, each with different applications controlling hundreds of instruments. Soon, the number of devices that operators needed to control would exceed human capacity, hindering the authority s ability to maintain traffic flow, alleviate congestion and warn drivers of trouble ahead. Solution Components IBM Intelligent Operations Center IBM Intelligent Transportation IBM Traffic Prediction Tool IBM Decision Support System Optimizer IBM Software Services IBM Lab Services IBM Business Partner AECOM IBM Business Partner En Pointe Technologies The Smarter Solution: The authority is using intelligent transportation technology to aggregate data from a variety of devices, giving operators a unified interface by which to manage and control roadway instruments. The solution also analyzes traffic speed and volume data and, should defined thresholds be breached, automatically triggers alerts and provides recommendations for remedial action. The system will eventually predict near-future traffic flows, helping prevent backups and shifting the agency from a reactive to a proactive mode of traffic management. By giving motorists advanced warning of pending traffic jams and bottlenecks, drivers have enough time to find alternative routes. 2014 IBM Corporation 23
The city of Zhenjiang is transforming its public transportation system, and using analytics technology to manage traffic patterns across the city Improved in route-change execution for exceptionally delayed buses More rapid response to traffic jams and crowds, reducing wait times and helping ensure capacity Enhanced citizen safety, citizen satisfaction and energy efficiency Business Challenge: To bolster economic development, increase tourism and improve overall public welfare, the city initiated the Smarter Zhenjiang, Smarter Tourism project which includes plans to replace and upgrade more than 400 bus stations and over 1,000 public transportation vehicles. Solution Components IBM i2 Analyst s Notebook IBM Intelligent Operations Center IBM Intelligent Transportation IBM WebSphere Sensor Events The Smarter Solution: In conjunction with the system-wide upgrade, Zhenjiang will rely on IBM s Intelligent Transportation solution to provide city managers with a consolidated view of the transportation network, and initiate a new bus scheduling system that will use analytics technologies to manage traffic patterns and over 80 routes across the city. Working with IBM, we will make our public transportation system faster and more efficient while making our city a better place to live in. 2014 IBM Corporation Mingnian Yin, director of reform commission, City of Zhenjiang 24
Dublin City Council improves traffic flow by using big data analytics to predict bus arrival and transit times Improves bus service for citizens by helping ensure buses stay on schedule Reduces congestion by increasing visibility into traffic delays and speeding decision making by controllers Optimizes planning with deeper insight into long-term traffic and usage patterns Solution Components IBM InfoSphere Streams IBM Research Business Challenge: To improve public transport services, Dublin City Council sought a way to dynamically monitor the movement of each of the city s 1,000 buses and better gauge if each one was operating on time. The Smarter Solution: The city deployed an intelligent traffic control solution that uses geospatial data from GPS-equipped buses to visually display the near-real-time position of each bus on a digital city map. Controllers can locate areas experiencing delays at a glance and instantly drill down to live camera feeds to identify root causes. Predictive analytics take into account speed, traffic flow and other factors to continually generate up-to-date estimates for bus arrival and transit times. Our traffic managers can make more informed decisions, based on what s happening on our bus routes at any point in time. That s a powerful tool. Brendan O Brien, head of technical services, roads and traffic department 2014 IBM Corporation 25
City of Cologne, Germany creates actionable insight from the traffic monitoring data 10% reduction in traffic congestion Predict traffic patterns up to an hour in the future, enabling the city to respond to anticipated congestion Improves traveler satisfaction by providing a more predictable journey Solution Components IBM Global Services Global Business Services IBM Research Traffic Prediction Tool IBM Intelligent Operations Center for Smarter Cities IBM Intelligent Transportation IBM Software Group - IBM Software Services Business Challenge: The City of Cologne, Germany wanted to find a solution that would help address its ongoing traffic congestion before it occurs, enabling it to take concrete action to improve traffic flow, alert and reroute drivers, and even avoid traffic tie-ups altogether. The Smarter Solution: The City of Cologne piloted a traffic prediction tool that uses historical and near-real-time road-sensor data and a powerful Firstof-a-Kind algorithm to project and predict traffic patterns up to 60 minutes out. Knowing when and where congestion is likely to occur gives transportation planners the ability to take preventive action, such as resetting traffic light timing or modifying speed limits on certain roads, to keep traffic moving. The tool not only helps city traffic planners predict near-future traffic patterns, but it also automatically recognizes and warns them of anomalies, such as an early start to rush-hour traffic or unanticipated congestion from an accident. Having the ability to create actionable insight from the traffic monitoring data gives us an ability to better manage congestion as well as provide citizens with more precise traffic information. Our Traffic Command Center would be able to optimize current traffic flow while anticipating and planning for potential traffic incidents. 2014 IBM Corporation - Thomas Weil, Head of Traffic Management Center, Cologne 26