presenter: govindarajan vadakpat, research transportation ... · 8/13/2018 · 4 evaluation...
TRANSCRIPT
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U.S. Department of Transportation
Presenter: Govindarajan Vadakpat, Research Transportation Specialist, FHWA
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2U.S. Department of Transportation
WHAT TO EXPECT IN THIS SESSION
Overview of the Connected Vehicles Deployment Program
Deeper dive into the THEA CV pilot
Q & A
NYCDOT WYDOT USDOTTampa (THEA)
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3U.S. Department of Transportation
CV PILOT DEPLOYMENT PROGRAM GOALS
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4U.S. Department of Transportation
THE THREE PILOT SITES
Reduce the number and severity of adverse weather-related incidents in the I-80 Corridor in order to improve safety and reduce incident-related delays.
Focused on the needs of commercial vehicle operators in the State of Wyoming.
Alleviate congestion and improve safety during morning commuting hours. Deploy a variety of connected vehicle technologies on and in the vicinity of
reversible express lanes and three major arterials in downtown Tampa to solve the transportation challenges.
Improve safety and mobility of travelers in New York City through connected vehicle technologies.
Vehicle to vehicle (V2V) technology installed in up to 8,000 vehicles in Midtown Manhattan, and vehicle to infrastructure (V2I) technology installed along high-accident rate arterials in Manhattan and Central Brooklyn.
Wyoming DOT
New York City DOT
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5U.S. Department of Transportation
CV PILOT DEPLOYMENT SCHEDULE
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6U.S. Department of Transportation
Connected Vehicle Communication
6
Vehicles have 360 degree
awareness of surroundings
Communicate with other
vehicles 10 times per second
“Basic Safety Messages”
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7U.S. Department of Transportation
How are we securing the messages
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8U.S. Department of Transportation
TAMPA (THEA) PILOT DEPLOYMENT OVERVIEW
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9U.S. Department of Transportation
EXPANDED STAKEHOLDER IMPACT AREA
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10U.S. Department of Transportation
FOCUSED DEPLOYMENT AREA
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11U.S. Department of Transportation
CV APPLICATIONS TO BE DEPLOYED
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12U.S. Department of Transportation
PARTICIPANTS
10Hillsborough Area Regional Transit
(HART) buses
1,600Privately Owned
Vehicles
PHOTO: THEA
500+Pedestrian
Smartphones (Android devices only)
PHOTO: NPR
10TECO Line
Streetcar Trolleys
PHOTO: THEA PHOTO: THEA
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13U.S. Department of Transportation
MORNING BACKUPS
Forward Collision Warning (FCW)
Emergency Electronic Brake Light (EEBL)
End of Ramp Deceleration Warning (ERDW)
Intelligent Signal Systems (I-SIG)
PHOTO: TAMPA HILLSBOROUGH EXPRESSWAY AUTHORITY (THEA)
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14U.S. Department of Transportation
WRONG-WAY DRIVERS
Wrong-way Entry
Intersection Movement Assist (IMA)
MAP
Signal Phasing and Timing (SPaT)
PHOTO: TAMPA HILLSBOROUGH EXPRESSWAY AUTHORITY (THEA)
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15U.S. Department of Transportation
WWE: What the OBU “Sees”
Source: Siemens Industry Inc.
MorningAfternoon
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16U.S. Department of Transportation
PEDESTRIAN SAFETY
PHOTO: TAMPA HILLSBOROUGH EXPRESSWAY AUTHORITY (THEA)
Pedestrian in a Signalize Crosswalk Warning (Ped-X)
Pedestrian Collision Warning (PCW)
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17U.S. Department of Transportation
PCW: What the OBU “Sees”
Source: Mentor, a Siemens Business
Source: Siemens Industry Inc.
No False Positives
No False Negatives
CUTR: Lidar vs. PSD location service
Use for PTMW Geo Fence settings
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18U.S. Department of Transportation
TRANSIT SIGNAL PRIORITY
PHOTO: TAMPA HILLSBOROUGH EXPRESSWAY AUTHORITY (THEA)
I-SIG
Transit Signal Priority (TSP)
IMA
Pedestrian Transit Movement Warning (PTMW)
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19U.S. Department of Transportation
STREETCAR CONFLICTS
PHOTO: TAMPA HILLSBOROUGH EXPRESSWAY AUTHORITY (THEA)
Vehicle Turning Right in Front of Transit Vehicle (VTRFTV)
PTMW
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20U.S. Department of Transportation
TRAFFIC PROGRESSION
PHOTO: TAMPA HILLSBOROUGH EXPRESSWAY AUTHORITY (THEA)
Probe Data Enabled Traffic Monitoring (PDETM)
Pedestrian Mobility (PED-SIG)
I-SIG
IMA
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21U.S. Department of Transportation
DEPLOYMENT CONCEPT
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22U.S. Department of TransportationAASource: Siemens
RSU PHOTOS
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23U.S. Department of TransportationAAMirror display uses sticker to depict location and concept of warning. Actual image is still in development
Source: Brand Motion and Global 5
HMI PHOTOS
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24U.S. Department of Transportation
METRICS IDENTIFIED PMESP
6 Use Cases 11 CV Apps 40 RSUs 4 Evaluation “Pillars”
□ Mobility□ Environmental□ Safety□ Agency Efficiency
3 Experimental Designs
22 Potential Measures
Performance Pillars Performance Measures
UC1 Morning Peak Hour Queues
UC2 Wrong Way Entries
UC3 Pedestrian Safety
UC4 BRT Signal Priority
UC5 Trolley Conflicts
UC6 Enhanced Signal Coordination Progression
Travel time
Travel time reliability
Queue length
Vehicle delay
Throughput
Percent (%) arrival on green
Bus travel time
Bus route travel time reliability
Percent (%) arrival on schedule
Signal priority: - Number of times priority is requested and granted - Number of times priority is requested and denied - Number of times priority is requested, granted and then denied due to a higher priority (i.e. EMS vehicle)
Emissions reductions in idle
Emissions reductions in running
Mobility
Environmental
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25U.S. Department of Transportation
METRICS IDENTIFIED PMESP (CONTINUED)
6 Use Cases 11 CV Apps 40 RSUs 4 Evaluation “Pillars”
□ Mobility□ Environmental□ Safety□ Agency Efficiency
3 Experimental Designs
22 Potential Measures
Performance Pillars Performance Measures
UC1 Morning Peak Hour Queues
UC2 Wrong Way Entries
UC3 Pedestrian Safety
UC4 BRT Signal Priority
UC5 Trolley Conflicts
UC6 Enhanced Signal Coordination Progression
Crash reduction
Crash rate
Type of conflicts / near misses
Severity of conflicts / near misses
Percent (%) red light violation/running
Approaching vehicle speed
Number of wrong way entries and frequency
Mobility improvements through the mobility pillar analysis
Safety improvements through the safety pillar analysis
Customer satisfaction through opinion survey and/or CV app feedback
Agency Efficiency
Safety
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26U.S. Department of Transportation
EVALUATION APPROACHES
Random Design – Treatment and Control groups, random assignment, compare average treatment effect, desirable but always achievable
Quasi-Experimental – Used when random assignment not possible, selection bias reduced by using methods like propensity score matching, matching algorithm, difference in difference
Before/After – Time series analysis, no control and treatment groups, confounding factor identification, baseline data required
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27U.S. Department of Transportation
STAY CONNECTED
Contact for CV Pilots Program/Site AORs: Kate Hartman, Program Manager, Wyoming DOT Site AOR; [email protected]
Jonathan Walker, NYCDOT Site AOR; [email protected]
Govind Vadakpat, Tampa (THEA) Site AOR; [email protected]
Visit CV Pilot and Pilot Site Websites for More Information: CV Pilots Program: http://www.its.dot.gov/pilots
NYCDOT Pilot: https://www.cvp.nyc/
Tampa (THEA): https://www.tampacvpilot.com/
Wyoming DOT: https://wydotcvp.wyoroad.info/NYCDOT WYDOTTampa (THEA)