Data Sharing Among Transportation Agencies: Opportunities and Challenges June 4, 2014 Welcome and Opening Remarks Thanks to our sponsors! Introduction of Moderator and Panelists Tom Batz, Deputy Executive Director, TRANSCOM Robert Galvin, Chief Technology Officer, PANYNJ Christopher Montgomery, Chief Technology Officer, New Jersey Transit Barry Pelletteri, Chief Information Officer, NJTA Gary Zayas, Information Technology Director, NJDOT New Jersey Turnpike Authority Data Sharing Among Transportation Agencies: Opportunities and Challenges Barry M. Pelletteri Chief Information Officer June 4, 2014 The Business of Information Technology New Jersey Turnpike Authority - Overview New Jersey Turnpike • • • • • Connects nearly every major transportation asset in New Jersey 148 miles in length / adding 170 additional lane miles of dual roadway in 2014 650,000 vehicles per day, Commercial Freight/Trucks 85,000 per day (13% of volume) 70,000 motorist aids per year, 70 heavy duty accidents per year EZPass penetration approximately 80% Garden State Parkway • • • • 173 miles in length / adding 90 new lane miles in 2014 1.2 million vehicles per day / limited freight, truck access 50,000 motorist aids per year EZPass penetration approximately 80% The Business of Information Technology The New Data Landscape •Exponential Growth in Data Volume, Velocity and Variety •2.5 Billion Gigabytes of data generated every 24 hours (80% unstructured) •Unstructured Data growth driven by impulses from sensors and Social Media • Worldwide there will be over 1 Trillion connected objects and devices by 2015 • Research/Mathematics Partnerships – now take center stage (Algorithms and Business Rules) •More than just Technology - People (Cultural/Trust) and Process (on demand exception management processes) •Potential for highly effective Performance Management The Business of Information Technology Sample Data Domains • • • • • • • • • • 250 ITS data points (subsurface sensors) VOS by Lane Full Color VMS, CM, LC and Hybrid Sign Inventory 400+ Video Cameras (Roadway, Toll Collection, Security) 500+ Expansive Message Library 800+ Messages with Graphics for VMS Signs Vehicle Inventory and AVL for all vehicle types Building/Facility Monitoring Information (Power, HVAC…etc) Regional Partnership (TRANSCOM) Traffic and “Travel Time” Information Geospatial Asset Information (Sub-Surface, Bridge, Signs, Other Structures) 632 toll lanes - 30 of which are High Speed (E-ZPass Transactions) ERP - Employee and Supplier Information for Self-Service The Business of Information Technology Transaction Data Stores Data as a Service (DaaS) A Purposeful Approach NJTA Intra-Agency Model ODS Domains Objectives Enable instant on-demand consumer services Enable exception processing for internal operations • • • • • • Create data domains from both transaction and device data Use research partnerships to maximize value of these domains Test new algorithms that manufacture new data from existing sources Establish new business rules to enhance (ETL/ELT) data transformation Ensure that all major transaction data bases have corresponding Operational Data Stores (ODS) Domains with required Master Data. Multiple ODS Domains become the foundation of a (DaaS) framework The Business of Information Technology Positioning for Data as a Service (DaaS) Current Master Data • • • • • • • Domain #1 • Domain #2 • Domain #3 • Domain #4 • Domain #5 • Domain #6 Applications Sensors Monitoring Devices Third Party Video Traditional Reporting Algorithms ETL/ELT Business Rules The Business of Information Technology On-Demand Consumer Services Exception Processing Analytics Data Sharing Data as a Service (DaaS) A Purposeful Approach - Examples Establish Exception-Based Operations Model with Action Oriented Information ODS Domains E-ZPass Violations Domain (ODS) created with Key Master Data and additional elements (formula based business rules - aggregations and derivations) • Domain 250 million E-ZPass Records • ELT Process + Business Rules used to Load and Transform Data • Result – dashboard, pattern recognition, trending rules-based alerts, and graphics • Daily report review replaced by alerts and on-demand analysis Advanced Traffic Management Domain - Volume Occupancy and Speed information by roadway segment (Traffic Monitoring, Detection, Traffic Prediction) Combine with other domains GIS, Message Library, Camera Inventory. The Business of Information Technology Data as a Service (DaaS) Enabling Sharing and Engagement • Mobile Technology and Social Media have created a wave of cultural change and new behaviors • 4+ Billion Mobile Phones Worldwide (25% Smartphones, 75% SMS enabled) • 2014 Mobile Internet usage overtakes Desktop Usage • 84% of Smartphone users check an app everyday as they awake • 84% of Millennial’s and 70% of Boomers say social content influences what they buy and the services they use • If we are to continue to earn the right to service the public, data services and mobile technology are essential components in our Roadmap The Business of Information Technology Data as a Service (DAAS) (Inter-Agency Regional Example) Where do we invest? Start with the Customer (Traveling Public) What Services do consumers what? What devices do they have access to? When do Consumers want these services? Where do Consumers want these services? What Data Domains from each Agency will start the process of servicing these needs? • Design a service and begin with a small set of capabilities • Use a regional aggregator–agency independence + a regional contribution model can co-exist • Use a single domain or combine multiple domains to pilot a initial regional service • Understand the Time Sensitivity of select Information • Follow a current successful model for Regional Aggregation (The Video Example) The Business of Information Technology Data as a Service (DaaS) Guiding Principles • • • • • Establish Data as a Service (DaaS) Model Take an Enterprise Approach - buy/build data domains once use everywhere Manage Data as a Portfolio Asset (Strategic Maintain, Legacy) Use and Contribute to Regional Data Assets where possible Sponsor Research to create new algorithms to maximize value of new Data Domains • Transform Data with effective Business Rules to create actionable information • Leverage Rules to enable “exception based operating models” • Connect Everything – ensure adequate network connectivity and capacity The Business of Information Technology The Business of Information Technology Our Guiding Principle “Innovation” Innovation at the New Jersey Turnpike Authority begins with our people and the belief that ideas and possibilities are essential ingredients in achieving the true meaning of innovation – “that of doing something different not just doing the same thing better” Thank You The Business of Information Technology Seamless Regional Travel Supported by Seamless Regional Data Sharing Robert Galvin, CTO The Port Authority of NY & NJ ITS New Jersey Rutgers CAIT, Piscataway, NJ June 4, 2014 Seamless Regional Travel Port Authority of New York and New Jersey Current Port Authority Transportation Data Types ● Traffic Flow ● Anonymous E-ZPass Detections ● Parking Occupancy at Airport Lots ● ITS Asset Status ● Traffic Signal Status/Timing ● PA Alerts ● Transit ● Weather Conditions • Schedules, incidents, delays, and service modifications (PATH, AirTrain, bus terminals) • Location of airport courtesy buses • Exclusive Bus Lane (XBL) – operational status; volume ● Vessel Movements ● Crash Data Transforming Data into Useful Information Data Data Data Actionable Knowledge Roadmap Legacy Investments & Current Systems ex. PA Wide Area Network (PAWANET); TRANSMIT readers Current Initiatives ex. Enterprise Transportation Management Software; Video Management & SCADA systems consolidation & mgt Mid-Term Opportunities ex. Regional App; Center-toCenter; ITS for Goods Movement/Port Operations Functional System Block Diagram Future Vision - 2020 Port Authority Agency Operations Center Applications of Data ● Travel Times ● Airport Parking Availability ● Traffic Signal Management ● Airport Courtesy Bus Management Uses of Data ● Traveler Information ● System Management and Operations ● Performance Metric Reporting Selected Current Participation in Regional Data Sharing TRANSCOM • Anonymous E-ZPass data for travel times • OpenReach for sharing among regional transportation agencies • Closed Circuit Television (CCTV) images • Incident & Construction Information • Dynamic Message Sign (DMS) messages I-495/CCTV Images for Super Bowl Week • Shared with NJDOT Pulaski Skyway Northbound Closure Transportation Management • Daily traffic report content including bridge and tunnel crossing delays as well as toll volumes Opportunities for Data Sharing and Use PA’s ITS vision aligns with the following specific aspect of the Port Authority’s Strategic Plan: Transportation for Regional Prosperity, adopted by the Board of Commissioners in 2005: “A regional real-time information system that can calculate the differences in travel time, fuel savings, and toll charges and redirect both passenger and freight traffic to alternative routes or travel modes.” Opportunities for Data Sharing and Use, continued ● Regional Traveler Information App including Freightspecific content ● ITS for freight applications including RFID on containers ● Center-to-Center Communications ● Construction Coordination Tool/Procedures ● Supporting Development and Implementation of construction project Transportation Management Plans ● Enhanced Asset Management ● Enhanced Performance Metric Tracking ● Predictive Modeling & Analysis Thank you! Data Sharing Among Transportation Agencies: Opportunities and Challenges Gary Zayas Director, Information Technology NJDOT June 4, 2014 Itsnj.org Data is an Asset (Resource) • Data should be treated like other assets…. • Money • People • Facilities • Data must be managed as an Enterprise Resource; • Must be protected as an Enterprise Asset; • Must be made available as an Enterprise Tool; • And must function as a component of the Enterprise Architecture NJDOT Data Issues Individual Applications and databases in silos created a “Spaghetti Network Design” once information sharing efforts started NJDOT’s Goal We want to get from this……… NJDOT’s Goal ………to this. What Can Data bring to ITS? Autonomous Vehicle Sensors/Data Collectors Multi-beam laser Radars Cameras GPS Inertial Measurement Sensor • Wheel Encoder • • • • • What Can Data bring to ITS? 2007 DARPA Urban Challenge Video can be found at: http://m.youtube.com/watch?v=P0NTV2mbJhA What Can Data bring to ITS? 2012 Stanford University Video can be found at: http://m.youtube.com/watch?v=YxHcJTs2Sxk What Can Data bring to ITS? 2014 Google Autonomo us Vehicle Video can be found at: http://m.youtube.com/watch?v=CqSDWoAhvLU What will the future look like? Thank You ITS NJ Forum on Technology Data Sharing: Opportunities and Challenges June 4th, 2014 Christopher Montgomery Chief Technology Officer | NJ TRANSIT Overview • NJ TRANSIT provides nearly 900,000 week day passenger trips • Bus, Passenger Rail, Light Rail, Access Link • Approximately 263.6 million passenger trips per year • Comprehensive technology system portfolio • Rapid data generation like never before Current State • Data transactions are manual and semiautomated • Focus on internal integration (eliminate silos) • Operational efficiencies and smarter decisions • Peer agency exchanges – Customer “journey” focused – Multi-modal • Limited public data consumption via API Traditional Challenges, Concerns, and Goals Volume Legacy Systems Quality Usability Business Intelligence Context Privacy and Security Knowledge Management Enhanced Customer Experience Process Efficiency Big Data Analytics Cost Reduction / Revenue Increase Data Quality Initiatives • Legacy system replacement – Vehicle maintenance system – Asset management – Train control • On time performance – Real time data – Increased accuracy – Meaningful context Data Collection and Analytics • Manual and rudimentary • Automated – Machine and sensor data • Smart phones and social media Success Stories • Collaboration and “Manual” Integration – NJ DOT, PABT, PATH • Public safety – Law enforcement • Incident management – Pulaski skyway • Data driven activity – Route planning and analytics – State of good repair Roadmap • Improve customer experience through transparency – “What we know, when we know it” • Advanced integration: Asset-based information sharing – Capacity: parking, next train, seating – Intervention: journey based data • Intermodal • Inter-agency • Alternatives Roadmap • Cost reduction and cost avoidance – Telematics – Predictive analytics • Smartphone and social media Thank You Opportunities for Multimodal Regional Data Sharing Discussion Session 1 Break ending at 10:45 Thanks again to our sponsors! Challenges to Data Sharing and How to Address Them Discussion Session 2 Next Steps for Data Sharing Initiatives Discussion Session 3 NJDOT Pulaski Skyway Project Multi-Agency Data Sharing Dashboard Summary and Closing Data Sharing Among Transportation Agencies: Opportunities and Challenges