Coeur d'Alene Press: Iteris Completes Long-term Transportation Plan for City of Hayden

1 min. Read • Posted 12/16/2020 by David Sadeghi

A look at potential rush hour impacts on traffic in a 2040 Hayden. The city council heard a comprehensive presentation on what will impact traffic volume Tuesday night, as well as recommendations to curtail congestion. (Courtesy City of Hayden)

In order to provide the City of Hayden with more accurate projections for future traffic management and road projects, Iteris developed an extensive transportation plan update that integrated project costs, traffic counts and growth projections, as well as considered the comprehensive and parks plan updates, while keeping the goal of prioritizing what road projects were needed, rather than what could be considered part of a wish list.

According to Hayden Mayor Steve Griffitts, the transportation plan from Jennifer Emerson-Martin and team, which made traffic projections for some 10 and 20 years out, surpassed every expectation.

Read the full article here


About the Author:

David Sadeghi

David Sadeghi is senior manager, digital marketing at Iteris.

Connect with David on Twitter and LinkedIn.

About the Author

David Sadeghi is director, digital marketing at Iteris.

Connect with David Sadeghi on LinkedIn

Related Posts

Iteris at ITS World Congress 2025: Innovation, Impact & Insights in Atlanta

5 min. Read • Posted 08/13/2025 by
We’re heading to Atlanta—and bringing our biggest presence yet to ITS World Congress 2025See More >

National Stop on Red Week: Stop on Red, Save a Life

2 min. Read • Posted 08/04/2025 by
National Stop on Red Week is more than a campaign… it’s a call to action. A reminder that every stop matters. Every decision behind the wheel can save a life.See More >

Not All AI Is Created the Same: Inside Our AI Detection System

4 min. Read • Posted 07/23/2025 by Michael Whiting
Before the rise of AI-powered detection, we relied on what is now called traditional machine vision (MV). Any technically competent person could set up a processor, download a detection algorithm from the cloud, plug in a video source and start detecting vehicles. These systems have been prevalent over the years and appeared effective, but often relied on an optimal field of view and near-perfect weather conditions. See More >

Subscribe to Our Newsletter

Receive smart mobility news and analysis direct to your inbox.