Public/Private Partnership Approach to Develop a Next Generation Analytics Platform

Transcription

1 Public/Private Partnership Approach to Develop a Next Generation Analytics Platform Brock Bafford, RGRTA John Handley, Parc

2 Agenda RTS s and Parc s objectives Scope of the partnership Results so far Next steps

3 RTS s objectives Data driven decision making Optimize route design as the agency overhauls its routes Getting more people on the bus Identifying areas to put service that are currently under served. Use the data we are currently generating in a predictive manner.

4 Relationship history RGRTA has been a customer of the CAD/AVL system since 2000 In 2007, RTS contracted Xerox as the prime contractor of the TIDE project. Color coding for vehicle types and maintenance status Xerox developed a new electronic vehicle records system and yard Vehicle ID management for RTS. Pullout time. Time indicates Vehicle is assigned otherwise No time indicates vehicle Unassigned Xerox Parc is based in Rochester, NY 5: If OrbCAD detects outgoing Departing Time Point Encounter event then Vehicle object is removed from the parking Layout and/or the table (DB) of unparked vehicles. If OrbCAD detects incoming Arrival Time Point Encounter for the Garage, then the Vehicle is added to the table (DB) of unparked vehicles. Bold line indicates Garage/corridor frame Find Button Find vehicle on the garage layout Control Button Function related to modification of garage layout (only Help Button Yard Management detailed explanation Red color yardwalker) Indicates that vehicle status is Critical. This status is Yard Management YARDWALKER/Train-out East Main St Garage set - Microsoft either via VIR Internet or Maintenance Explorer system. Neither Find Control Help Yardwalker/train-out or Dispatcher can change the status of the vehicles Maintenance Maintenance Soft Seater Hard Seater MCI (Coach) Articulated (Critical) (Quick Fix) : : : : : : Info Info Info 302 Yellow color It indicates Quick fix vehicle status. The information for this status came form VIR 6: This area is reserved for specific functions. Different between Yardwalker/ Train-out and Dispatcher Pattern indicates pending changes have not yet been saved to the database. Pattern disappears once changes are saved. 120 OPTIONAL Vehicle ID is related to the size of the box The size of the box is proportional to 40 foot, 60 foot vehicle etc. The distance between the vehicle is set to predefined standard (example 2 feet). The length of each lane is proportional to predefined 11 vehicles/40 foot. D1-D6 is proportional to 4/3/2/1 60 foot vehicles Pattern indicates Mouse over a vehicle to get information via a detailed tooltip Done Local Intranet

5 RTS data strategy Building a data warehouse/business intelligence platform Use fare collection, on time performance, APC data to build analytics and make decisions Reporting is slow and dependent on potential broken data sources.

6 Xerox s objectives Co-develop features that solve customer s important problems Extend its current CAD/AVL offering to include advanced analytics Incorporate other data sources to create a true Mobility Analytics Platform

7 Examples of Xerox Investments in Transportation Innovation Public Transit Data Visualization & Analytics Transit-Merchant Partnerships Asset Management Fraud, Waste & Abuse Analytics On-Street / Off-Street Parking Parking Demand Management Next Gen Parking Services License Plate & Vehicle Recognition Vehicle Occupancy Detection for Tolling April 20, 2015

8 Transportation Data Analytics ACS DATA Vision CLOUD DATA & BIZ INTELLIGENCE CONSUMERS PUBLIC TRANSPORT TOLLING PARKING IN DATA GATEWA Y IN DATA GATEWA Y ANALYTICS PLATFORM VISUALIZATIO N SIMULATION MODELLING DIAGNOSTICS FORECASTING CONTROL OUT DATA GATEWA Y TRANSPORTATION AUTHORITIES (CUSTOMERS) ACS DATA CITIZENS PARTNERS DATA WEATHER DEMOGRAPHIC S AUTH PORTAL THROTL E SERVICE DESK STORAG E PRIVACY PROCESS KB IN DATA GATEWA Y LOCAL ECONOMY STARTUPS UNIVERSITIE S GIS SOCIAL NETWORKS SENSOR NETWORKS VALUE-ADD PARTNERS AIMSUN PARAMI X MATHWORKS CUBE CAMBRIDGE SYSTEMATI CS INRIX

9 Atlas Mobility Analytics Platform

10 Transit Connectivity Supply Spatial measures Network geometry (qualitative) Radial/diametrical, radial with circle, trunk/branch Number of nodes Total length of links Ratio of direct trips Temporal measures: Service frequency Service reliability: schedule/headway adherence Total travel time Speed Typically only for individual routes myrts.com Demand Where Coverage of transit stops Origin Destination flow When desired departure/arrival time Efficient travel acceptable total travel time Reliability

11 Transit Operation Goals and Traveler Centric View Revenue Grow Ridership Mode choice How do existing and potential riders perceive transit travel? Congestion relief Travelers needs, experience and perception Healthy system growth

12 Transit Network Connectivity: Traveler s View Total Travel Time Googlemap Walking time between transit stops and origin/destination, and during transfers, due to discrete services in space Spatial: routes and stops myrts.com Waiting time Travel time at origin, transfer point, and destination, due to discrete services in time in vehicle travel time myrts.com Temporal: service schedules Buffer time due to variability of travel time Temporal: : travel time distribution

13 Stop level connectivity From a bus stop Cumulative opportunity: covered area (area around reachable bus stops) within generalized trip time limit (30min, 45min, 1hr etc.) Averaged within different periods of the day Generalized trip time In vehicle time Transfer time Reliability: RBT (reliability buffer time) * value of reliability / value of time Data Stops and routes Service schedule Schedule adherence records at time points

14 7-8am, difference between average connectivity before and after Transit Center

15 7-8am, difference between scheduled and actual connectivity

16 Data warehouse

17 Business Intelligence strategy

18 Data Warehouse Reporting layout Reporting Services Power pivot Powerview PerformancePoint Services Excel Services Xerox Analytics platform

19 Next Steps Connectivity Model Agency Generated Data Outside Data Schedule Data Where s my bus data Fare data On time performance TAZ data Census Data

20 Next steps Determine if connectivity is a useful metric Will this be used in other transit agencies? What other data we are generating can be used? Fare data and Where s my bus data use potential uses