Skip to main content

Portland puts priority software into service

TriMet deploys Lyt's intelligent transit signal system for improved traffic flow
By Alan Dron August 25, 2022 Read time: 2 mins
Signals will be optimised for bus travel, improving timing and reliability for transit riders (© Yooran Park | Dreamstime.com)

TriMet, mass transit services provider for Portland, Oregon, is linking up with intelligent connected traffic technology supplier Lyt to deploy the latter’s transit signal priority software.

Lyt.transit will be used as part of TriMet’s Division Transit Project (DTP) to allow traffic signals to prioritise bus travel, improving timing and reliability for transit riders.

Lyt’s technology is now installed at 58 intersections and the entire DTP will begin moving passengers on 18 September.

TriMet provides bus, light rail, commuter rail transit and paratransit services in the Portland metro area.

DTP is paving the way for larger buses to move more efficiently and reliably at frequent service intervals, enabling riders to reach their destination faster and on time. Overall traffic flow in the area will also be improved.

A 2020 survey of global traffic congestion listed the Portland metro area as the 14th worst in the US and 115th worst worldwide. Portland area commuters typically lost 27 hours stuck in traffic during 2020.

“Our goal is to improve the way people move through our cities while improving safety and reducing congestion for communities,” said Lyt founder and CEO, Timothy Menard.

“By adopting Lyt’s solutions, agencies like TriMet can leverage artificial intelligence, machine learning technologies, and real-time information and analytics to improve the intelligence of their operation, benefiting travellers and residents alike.”

Once completed this autumn, DTP will speed up bus service with larger buses, more frequent service and the newer transit signal priority system between downtown Portland, east Portland and the suburb of Gresham.

“Lyt has completed setup and we are now beginning operational training and testing along the Division Street corridor,” said AJ O’Conner, TriMet’s director, ITS.

LYT’s AI-powered machine learning data enables a suite of transit signal priority solutions that use pre-existing transit tracking sensors and city communication networks to dynamically adjust the phase and timing of traffic signals to provide sufficient green clearance time while minimally impacting cross traffic.

For more information on companies in this article

Related Content

  • Flir uses AI to optimise flow
    October 12, 2021
    Flir Systems is here to highlight its latest innovations: the Flir ThermiCam AI* with thermal imaging and the Flir TrafiCam AI visible camera, both with artificial intelligence (AI) to optimise traffic flow on roadways and at intersections. When combined with the Flir Acyclica cloud platform, cities can apply the AI-camera data to predict traffic, prevent congestion and potential accidents, and create safer roads for drivers, cyclists, and pedestrians 24 hours a day
  • Seleta Reynolds: 'Drivers don't pay full cost'
    August 29, 2022
    Newly-appointed chief innovation officer at LA Metro suggests congestion pricing will help
  • From paved roads to data highways
    December 19, 2024
    The vehicles of the future are coming; and with them, so are the cities of the future. But only if cities are prepared to make the investment, suggests Yagil Tzur
  • Mexico City seeks solutions to improve air quality
    December 6, 2017
    David Crawford ponders prospects for one of the world’s most congested and polluted cities. In 1992, the United Nations named Mexico City as the world’s most polluted urban centre. In the first half of 2016, following the updating of pollution alert limits to meet international standards, Mexico recorded 115 days where ozone concentrations exceeded the acute exposure health limit.