Applying Analytics to Managing Fleets of Connected Devices John C. Handley (with Lina Fu and Laurie Tupper)

Internet of Things/Everything Momentum By 2020, over 50 billions of inter-related things will be connected to the internet; and the worldwide IoT market will grow from $655.8 billion in 2014 to $1.7 trillion in Huge impact on the future of transportation system from connected vehicles, smart parking, to smart bridges/roads/buildings that can talk to each other and interact with users.

Building a Mobility Ecosystem FreightCyber Security Payment Systems Smart Parking Traffic Control Systems Public Transportation Big Data Management Components And Systems Telecommunications Federal, State, Local Policy Insurance Urban Planning

Roadway Attributes 13 signalized intersections 1000’ North/South straight Various road surfaces (concrete, asphalt, dirt) Variety of curve radii, ramps Two, three, four and five-lane roads Round-about and “tunnels” Sculpted dirt and grassy areas Road-side Attributes Variety of signage and traffic control devices Fixed, variable street lighting Cross walks, lane delineators, curb cuts, bike lanes, grade crossings Hydrants, sidewalks, etc. “Buildings” (fixed and movable) MCity UM & MDOT

Rapid Growth in Mobility 6 Private sector driving growth in mobility City is largely a passive observer No coordination of all mobility options # of Mobility Services in LA Xerox Internal Use Only

Xerox Mobility Analytics Platform FORECASTING CONTROL VISUALIZATION MODELLING SIMULATION AUTH THROTLESTORAGEPROCESS PORTAL SERVICE DESK PRIVACYKB ANALYTICS PLATFORM DIAGNOSTICS IN DATA GATEWAY OUT DATA GATEWAY DATA & BIZ INTELLIGENCE CONSUMERS IN DATA GATEWAY CLOUD DEMOGRAPHICS WEATHER GIS SOCIAL NETWORKS SENSOR NETWORKS XEROX SERVICES DATA PUBLIC TRANSPORT TOLLING PARKING VALUE-ADD PARTNERS External DATA TRANSPORTATION AUTHORITIES (CUSTOMERS) CITIZENS PARTNERS LOCAL ECONOMY STARTUPS UNIVERSITIES 9

Integration of external data sources Generic ETL framework Orbcad APC/AVL (Rochester) Page 10 RingGo ON-Street mobile payment (London) GFI fare collection (Rochester) Geo localized tweets (Paris)

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Coverage of two bus stops at weekday 9:30am (a) bus stop at University of Rochester, connectivity score 3.68 mi 2 ; (b) bus stop at CBD, connectivity score mi 2.

Spatial Autogressive (SAR) Model

EstimateStd. Errorp-value (Intercept) e-14 log(workers + 1) e-07 pop 3.28e e e-04 log(Avg.connectivity) e-09 lambda Response: log(total boardings in a TAZ) Fitted areal model for through EstimateStd. Errorp-value (Intercept) -3.84e log(workers + 1) e-07 pop e-04 log(Avg.connectivity) e-09 Scaled values to show relative importance Connectivity is a significantly related to demand

Conclusions Era of “connected vehicles” and “Internet of Things” creates opportunities and challenges for analytics Plethora of data types, time scales, semantics for fusion (ETL) Operational data can inform planning Sophisticated and new statistical methodologies needed to reap the benefits