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SR 303 Adaptive Signal Project

Sector: Advanced Electronics • Location: Bremerton, Washington, United States of America

Source: City of Bremerton

Project
Prospective

The SR 303 corridor is a multi-modal network of local roads, sidewalks, bicycle paths, bus routes, and other facilities that balance mobility and critical access for residents throughout Kitsap County as well as City of Bremerton residents by connecting a variety of diverse residential and commercial neighborhoods. The City seeks to improve SR 303 corridor reliability, travel times, and safety thr

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The project “SR 303 Adaptive Signal Project” is an infrastructure initiative in the Advanced Electronics sector, located in Bremerton, Washington, United States of America. Taiyo aggregates data on it from City of Bremerton.

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prospective

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Description

Description

The SR 303 corridor is a multi-modal network of local roads, sidewalks, bicycle paths, bus routes, and other facilities that balance mobility and critical access for residents throughout Kitsap County as well as City of Bremerton residents by connecting a variety of diverse residential and commercial neighborhoods. The City seeks to improve SR 303 corridor reliability, travel times, and safety through an initial implementation of Adaptive Signal Control Technology (ASCT) at five existing signalized intersections including: Sheridan Road Sylvan Way E Broad Street Hollis Street NE Riddell Road Noted as an early improvement priority in the SR 303 Corridor Plan, ASCT can be implemented cost-effectively into existing signal systems and utilize real-time traffic monitoring to optimize traffic signal timing. In addition, incorporating this technology along the SR 303 corridor provides future opportunities to implement Transit Signal Priority (TSP) systems. A high-level overview of ASCT is available on the FHWA Center for Accelerating Innovation. Project Overview The project includes implementation of ASCT along the SR 303 corridor between Sheridan Road and NE Riddell Road at five (5) existing signalized intersections. While this technology can be implemented at existing traffic signals cost-effectively, a major component of the project will include development of a signal communications improvement which will allow city staff to monitor and optimize signal systems remotely. Currently traffic signals are pre-programed on “time-of-day” plans which are developed based on historic traffic flow characteristics. This process is time consuming, relies on historical traffic flow trends, and does not allow for real-time signal timing adjustments based on actual traffic patterns. ASCT uses advanced Artificial Intelligence (AI) algorithms which process information captured by intersection sensors and cameras. This information is processed and communicated with the traffic signal controller to maximize green time where it is needed the most and ultimately reduce intersection delays. Meanwhile, this information is communicated with other traffic signals along the corridor to make similar adjustments. Pedestrian movements and crossing requests (through traditional push buttons) at signalized intersections are monitored by the ASCT systems to ensure appropriate pedestrian crossing needs are balanced with traffic signal operations. As there are several product vendors that provide ASCT, the City will be initially completing a systems engineering analysis under this project which will assist with the development of needs, specifications, and requirements ultimately supporting procurement of a vendor to implement the equipment and software. Project Funding The project was selected for funding through the Kitsap Regional Coordinating Council (KRCC) 2022 Countywide Competition Process. The funding award is through Puget Sound Regional Council (PSRC) and the planned improvements under this project are part of the Regional Transportation Improvement Program (TIP) for 2023-2026. The grant includes $2,068,230 in FHWA funds for the preliminary engineering (PE) and construction (CN) phases. A local funding match of $451,770 is required as a condition of the grant which is included in the Transportation Capital budget. The overall project cost is estimated at approximately $2,520,000.

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