1	Deploying Vehicle-Based Technologies Considerations and Lessons Learned
2	"Located near Virginia Tech in..." Located near Virginia Tech in Blacksburg, Virginia Home to the Virginia Smart Road facility Virginia Tech’s largest research enterprise 300 staff members and students Nation’s 2^nd largest Transportation Research Institute Approx. $30M Research funding (FY 2010)
3	"Expertise and experience" Expertise and experience Driving data acquisition Data storage, handling, analysis Facilities Virginia Smart Road The Instrumented City (Blacksburg) Crash simulation – Injury Biomechanics National Tire Research Center – Virginia International Raceway Truck simulator Vehicle fleet including trucks, buses, vans, pickups, SUVs, cars, motorcycle(s)
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8	"Component mounting" Component mounting User interface Main Unit Ancillary Antennas Connections - routing Power User interface / display Antennas Vehicle network On-board systems
9	"Connections!, connections!, connections" Connections!, connections!, connections! Equipment sharing Leave wiring, antennas, etc. Share more expensive components Interference from other equipment Radios Beware the parasitic loads Antenna placement
10	"Type" Type GPRS SMS 4G LTE Satellite Bluetooth Adequate bandwidth Data transfer costs Automatic signal reacquisition
11	"Reliability" Reliability Blocking (trees, buildings, topography) Last known good location Interference (LightSquared) Augmentation WAAS DOT efforts Obstacle warning? Accuracy notification
12	"Connections" Connections Signal Data format Speed Resolution Matching or adequate data resolution “Plug and Play” standards (Clear Roads, e.g.) Vehicle network (CAN bus, J1939)
13	"Improved safety" Improved safety Location, movement Fatigue prevention Record keeping Less paperwork Improved reporting accuracy Investment and involvement Less concern of damage claims
14	"Distraction – Eyes-Off-Road" Distraction – Eyes-Off-Road Poor software interface issues Perception of “Big Brother” Poor training and frustration with system Dependability and operator’s reliance upon it
15	"Involve the operators up front" Involve the operators up front Provide exceptional training Operators Supervisors Consider how and when the system will be used Good software interface Touchscreen Voice recognition Interface mounting and speed lockout Consider Eyes-Off-Road
16	"“" “A multimodal initiative that aims to enable safe, interoperable networked wireless communications among vehicles, the infrastructure, and passengers‘* personal communications devices.”
17	"Safety" Safety Collision warning Traffic signal violation warning Emergency notification Mobility Adaptive traffic signals Intermodal transfers Event and emergency planning/response Parking location assistance Environmental Eco-routing Multi-modal routing Adaptive roadway lighting Smart intersections
18	"Data sources" Data sources Vehicles as mobile probes 2012 stability control required on passenger vehicles Maintenance vehicles (speed, air temp, fuel usage) Roadside sources (weather, pavement, signals) NCAR weather algorithms Integration with MDSS Improvement of vehicle location technology
19	"Use of Connected Vehicle network..." Use of Connected Vehicle network and data allows more effective and efficient deployment of pre-treatment, treatment, and plowing operations Local weather information from Connected Vehicle network From vehicles: Temperature, barometric pressure, precipitation sensors, head lights Activation of ABS, Stability control, traction control From roadside equipment: Pavement temperatures, humidity, etc. From on-board equipment in maintenance vehicles Application rates GPS, Time