Video Analytics towards Vision Zero - Bellevue...Milestone 1: Demonstrate the capability of vision...
Transcript of Video Analytics towards Vision Zero - Bellevue...Milestone 1: Demonstrate the capability of vision...
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Video Analytics towards Vision Zero
Northwest Institute for Advanced Computing:Workshop on Data Sciences – Smart Mobility
May 3, 2017
Franz LoewenherzPrincipal PlannerCity of Bellevue, WA
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Worldwide: Traffic Fatalities
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Leading Causes of Death (2004)
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USA: Traffic Fatalities
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NHTSA, Impact of Crashes (2010): Economic Cost: $242B; Societal Harm: $836B
42,70841,259
37,423
33,883 32,999 32,47933,561 32,719 32,675
35,092
40,200
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30,000
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2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
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Traditional Crash Reporting Process
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Crash Based Approach: Lakemont Interchange Case Study
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In 2013, WSDOT built a new roundabout at the intersection of the WB I-90 on- and off-ramps and WLSP SE/180 Ave SE.
From 2005 through 2010 there were 60 collisions recorded by the Bellevue Police Department and the WSP at this location.
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6Amy Carlson, Vice President, CH2M HILL
Vision Zero: Reframing Traffic Deaths & Injuries as Preventable
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Conflict-Based Approach: Don’t Wait For Crashes to Happen
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Hyden’s Safety Pyramid (adapted from Hyden, 1987)
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Conflict-Based Approach: Public Involvement Strategy
Total Points Placed
Ped Facilities 514 32%
Bike Facilities 573 35%
Ped Behaviors 57 4%
Bike Behaviors 22 1%
Car Behaviors 452 28%
Total 1618
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Conflict-Based Approach: Video Analytics Strategy
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Leverage a city’s existing traffic camera system to simultaneously:
monitor counts and travel speed of all road user groups (vehicle, pedestrian, and bicycle);
document the directional volume of all road user groups as they move through an intersection; and,
assess unsafe “near-miss” trajectories and interactions between all road user groups.
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Partnership Momentum
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Trajectory Detection & Turning Movement Counts
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Volume Charts
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Near-Miss Detection
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Near-Miss Detection
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Milestone 1: Demonstrate the capability of vision technologies by detecting relevant events in the sample traffic videos (e.g., detecting cars, pedestrians, and bikes and tracking their movements).
Milestone 2: Demonstrate an end-to-end system that will, continuously in real-time, detect and store the events, and present aggregated information.
Milestone 3: Pilot deployment of end-to-end system (running on servers provided by Microsoft) in the City of Bellevue traffic control center. The system will run off of a live feed.
Milestone 4: Support additional scenarios (e.g., near-collisions of cars with pedestrians and bikes or patterns of bikers crossing a busy intersection).
Partnership Approach
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Turning Movement Counts Sample: 116th NE & NE 12th
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Object Classification Accuracy
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How Neural Networks Work
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Summer 2017: Crowdsourcing Initiative
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Summer 2017: ITE Website
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Summer 2017: Crowdsourcing Webpage
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Summer 2017: Classify Near-Miss Events
Time to Collision (Matsui et al., 2013)
Post Encroachment Time (Van der Horst et. al., 2014) Swedish Conflict Technique (Hyden et. al., 1987)
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Bellevue’s Vision Zero Initiative:From Video Analytics to Corrective MeasuresDeployment Strategy: Trusted Data Platform
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Bellevue’s Vision Zero Initiative:From Video Analytics to Corrective Measures
For More Information
Franz LoewenherzTransportation [email protected]‐452‐4077
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