Join us for virtual technical sessions on May 17, 2023 brought to you in partnership with our industry partners. This year we are changing up the format a little to allow for our attendees to see more presentations. There will be three 30-minute sessions throughout the afternoon with 2 presentations during each session in separate breakout rooms. The goal of these sessions is to provide attendees:
Solutions for transportation issues and their applicability to our local environment
Shared lessons learned
Information about existing and new technology
Opportunities to have technical questions answered by qualified representatives
The schedule for the event is as follows:
3:00 PM
Welcome
3:10 PM
Session 1 (Transnomis, Rekor)
3:40 PM
Break
3:45 PM
Session 2 (PTV Group, Swarco)
4:15 PM
Break
4:20 PM
Session 3 (Google, Iteris)
4:50 PM
Closing Remarks
5:00 PM
End of Event
Registration
Registration for this event is free for ITE members and agency members with a nominal fee for everyone else. When you register please select the appropriate category based on our ITE International membership and/or employer.
Sessions will be held concurrently using breakrooms.
SESSION 1 (3:10-3:40 pm)
Breakout Room 1 (Presentation) Project: Advanced Traffic Information Management: Honolulu and Beyond Presenter: Yeatland Wong, P.Eng., Transnomis Description: Yeatland Wong will present the system used to centralize road information in jurisdictions across North America. Projects discussed include Honolulu’s new traffic database, Loveland, Colorado’s traffic device management application, Toronto’s lidar- based signal timing enhancements, Niagara’s micro-radar queue detection technology, and Ontario’s regional traffic information sharing system.
Breakout Room 2 (Presentation) (Video Link) Project: Permanent and Portable Video Solutions Deployed for Data Collection Presenter: Michael Villafuerte, Rekor Description: Find out about permanent and portable video solutions for count, class and speed data collection. This presentation will include an overview of three projects including solutions, project findings, lessons learned, and possible use-cases in Hawaii. These project include:
Virtual Weigh-in-motion and origin destination for trucks
Portable count, class and speed data collection using Video AI
Permanent count, class and speed data collection using Video AI
SESSION 2 (3:45-4:15 pm)
Breakout Room 1 (Presentation) Project: Countywide Congestion Management and Transportation Impact Analysis with PTV Vistro in Silicon Valley Presenter: Bill Cisco, P.E., PTV Group Description: The Santa Clara Valley Transportation Authority (VTA), in San Jose, California, uses the PTV Vistro software to analyze a network of 252 signalized intersections for congestion management monitoring purposes on a biennial basis, as well as in corridor planning studies and development transportation impact analyses throughout the County. Vistro modeling efforts identify changes in traffic congestion levels and patterns in the county; evaluate the effectiveness of potential congestion relief and safety measures like addition of bicycle lanes, turn restrictions, and leading pedestrian intervals; and identify necessary improvements and mitigations needed to maintain congestion thresholds. This presentation highlights an overview VTA’s current and future uses of PTV Vistro.
Breakout Room 2 (Presentation) Project: ATC Cabinet Innovations as Los Angeles Prepares for the 2028 Olympics Presenters: Aron McEvoy, Swarco Description: After years of working closely with Swarco to develop the ATC cabinet and the 2028 Olympics coming to their city, in 2018 Los Angeles decided to make a permanent switch to ATC cabinets. The safer connections, smarter components, roomier cabinets, and easier troubleshooting convinced them to become the first major city to make this move. Since then LA has been joined by other large agencies like San Francisco, San Jose, Philadelphia, PA., Austin, TX., and Dallas-Fort Worth, TX all of whom are upgrading to Swarco’s ATC cabinets.
SESSION 3 (4:20-4:50 pm)
Breakout Room 1 (Presentation) (HDOT Climate Insights for Infrastructure Website) Project: Machine Learning (ML) Solutions for Pothole Detection in the City of Memphis Presenter: Daniel Liu, Google Description: Google delivers a Transportation Analytics Platform that allows the City of Memphis identifies and fixes potholes faster and detects patterns of urban blight. A pothole is a depression in a road surface, usually asphalt pavement, where traffic has removed broken pieces of the pavement. It is usually the result of water in the underlying soil structure and traffic passing over the affected area. Using ML based approaches, highway and city road authorities can identify potholes using streaming video/imagery at an edge device, or batch process a large cache of images captured with geo location in the field. This solution demonstrates an ML based approach using Google cloud AutoML Vision for pothole detection.
In addition, Daniel will also highlight a local project completed for the State of Hawaii DOT. Their Climate Insight for Infrastructure project aims to help the HDOT better understand the potential impacts of climate change on the state’s transportation infrastructure. The project involves the development of a tool that integrates climate change data and transportation infrastructure data to provide a comprehensive view of potential vulnerabilities and risks. The tool uses climate modeling data to generate projections of potential changes in temperature, precipitation, sea level rise, and extreme weather events. It then overlays this data onto maps of Hawaii’s transportation infrastructure, such as highways, airports, and ports, to identify areas that may be at risk of flooding, erosion, or other forms of damage.
Breakout Room 2 (Presentation) Project: Traffic Signal Bicycle Detection Upgrades – Danville, CA Presenter: Carly Randazzo, Iteris Description: In 2006 the State of California mandated intersections to detect bicycles. How do the agencies affordably and effectively meet the mandate? Will carbon fiber bicycles be detected? Can it differentiate between bicycles, motorcycles, and mopeds? What if the bike is in a left turn pocket, will the system recognize it as a bike? How can cyclists be certain they were detected and will get enough green time to cross safely?
Iteris developed and patented SmartCycle that combines vehicle and bicycle differentiation into one camera. It allows for extra zones to be drawn and designated as bike zones. When bicyclists are detected, the controller will either trigger a phase specially timed for bicycles or command the controller to serve the corresponding vehicle phase but use a special timing plan to accommodate bikes. The extended minimum green times ensure the cyclists can safely make it through the intersection even if they are alone in a left turn pocket. Special feed back signs, the SmartCycle Bike Indicator, will illuminate advising the cyclists they have been detected.
