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From Modelado Foundation

Smart City
Connected Intelligent Transportation
Powell Corridor
Contact:
Skip Newberry, Wilfred Pinfold
Developing a sensor-connected “smart” corridor in Portland
Type: Concept
Deployment Location: Powell Boulevard, Portland
Areas: Sensors
Scope: City
Stakeholders: Government, Community, Educators, Industry
Engagement Level High
What Needed to be Communicated to Stakeholders? The challenges with getting high quality data
Start Date: 11/1/2014
Completion Date: 6/30/2018
Current Status: Pilot Sensor Data collected and in evaluation
Replications There are already plans to replicate
Scalability Pilot with plans to scale
Readyness: Deploying technology in a new way
Type: Integration of Hardware and Software
Data needed: Transit data, traffic signalization, format TBD
Data produced and format: Air quality sensing, format TBD
Benifits of Data Produced: Informed transit and building decisions
Government Levels Involved: City
Type: Regulatory
Challenges Mounting sensors of public property
Innovation: None
Amount: $50,000
Source: Grant
Type: Transportation
Measure: Polutent Exposure
Target: Maximum possible reduction in polutent exposure for citizens

Mission

Deploy high quality low cost air quality sensors along the Powell corridor in advance of significant planned changes to lane use including possible deployment of a bus rapid transit lane. Evaluate the sensors for accuracy and explore particulate and polutent sources and distributions.

Problem

Current DOT approved air quality sensor technology is too expensive for broad deployment. New technology is low cost but of unverified accuracy.

Solution

Identify low cost high quality sensors

  • Develop multi-junction deployment plan on Powell
  • Deliver transit data, traffic signalization, and air quality sensing data to a portal
  • Connect the portal to the data visualization and analytics in the Decision Theater"

Goals

Improve transportation options, public health, economic development and civic engagement.

Metrics

Deliver sufficiently accurate data for transportation informed decision making.

Challenges

Using low cost sensors to measure ambient level concentrations is limited by very high detection limits on these sensors. Need to identify sensors that are sensitive and consistent enough to meet project goals Identify density of sensors needed to adequately inform on spatial distributions of pollutants

Expected Return on Investment

Analysis of sensor accuracy and use

Lessons Learned

  • Low cost Metal oxide sensors provided no useful data
  • NO2 electrochemical sensors have resolution issues which consumes power
  • CO electrochemical sensors show potential
  • Potential interferences from NOx and ozone will require quality control algorithm to adjust sensor data based on reference data"

Partners

City of Portland, Portland Bureau of Planning and Sustainability, Portland Bureau of Transportation (PBOY), Department of Environmental Quality (DEQ), Technology Association of Oregon (TAO), Urban.Systems Inc., FIWARE Foundation, Portland State University, Seabourne Consulting, Mobility Cubed, Tosny, Intel, Sera Architects

Description

By deploying a high density of low cost sensors we are able to identify sources and distributions of polutents in the transportation systems.