Truck Parking Information Management System (TPIMS)
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Quarterhill and Washington State DOT Launch $2.3 Million Initiative to Improve Truck Parking Safety on I-5
Prnewswireยท 2025-10-14 10:30
Core Insights - The article discusses the deployment of a new Truck Parking Information Management System (TPIMS) by Quarterhill Inc. in partnership with the Washington State Department of Transportation (WSDOT) to enhance truck parking availability along Interstate 5 (I-5) [1][2]. Group 1: Project Overview - The TPIMS is a $2.3 million initiative aimed at addressing the critical issue of secure and reliable truck parking, which is a significant challenge in the freight industry [2]. - The initial deployment covers the I-5 corridor from Vancouver, Washington, to the Canadian border, with plans for future expansions along other major freight routes in Washington state [2]. Group 2: System Features - The system provides real-time updates on parking availability through dynamic signage, mobile platforms, and WSDOT's traveler information systems, improving visibility for truck drivers [4]. - Truck drivers can access real-time parking data via WSDOT's Parker Truck app and online landing pages, which also track the system's growth [4]. Group 3: Partnership and Impact - Quarterhill serves as a full-service delivery partner under WSDOT's statewide contract, providing engineering expertise, project management, and coordinating subcontractors [3]. - The project is seen as a collaboration between public agencies and private partners to enhance highway safety and improve freight movement efficiency [5]. - The initiative is expected to reduce fatigue-related risks for truck drivers, thereby improving overall roadway safety [6]. Group 4: Company Background - Quarterhill is recognized as a global leader in the Intelligent Transportation System (ITS) industry, focusing on smart infrastructure solutions that enhance mobility and safety [7]. - The company processes billions of transactions annually and utilizes advanced technologies like artificial intelligence and machine learning to optimize transportation networks [7].