United States Department of Transportation
i
Smart Multi-modal Transportation Solutions for North Huntingdon Township in Response to Roadway Construction Projects on Route-30
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2020-08-01
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[PDF-3.99 MB]
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Edition:Final Research Report
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Abstract:U.S. Route 30 (US30) in the North Huntingdon Township (NHT) serves as a main commercial corridor as well as a regional arterial. Part of a growing area, there are significant challenges in regards to congestion, safety, travel demand and mobility. There is a great need to provide a holistic mobility solution including driving, transit usage, park-and-ride lots, and existing and projected land use development. Pennsylvania Department of Transportation (PennDOT) is well into the design phase for a redesign and rebuild of US30 to include major utility relocations, drainage, and alignment redesign that will create significant construction-related congestion for multiple years so that a multi-modal plan for construction, as well as long term operations, can and should be incorporated into the multiyear construction project. This research project conducts an in-depth analysis of the potential traffic impact of the US30 project to the North Huntingdon Township (NHT) and its proximity areas in high temporal and spatial resolutions, utilizing a data-driven dynamic network model developed by Carnegie Mellon University's (CMU’s) Mobility Data Analytics Center (MAC). Using the multi-modal data collected in the Southwestern Pennsylvania region, the authors simulate individual cars and trucks in the region including those travel through or near the NHT area. Each of those vehicles is simulated with their respective route choice and travel time through the region. The result includes system-level performance metrics, such as travel time, travel delay, vehicle-miles-traveled (VMT) and emissions, as well as delay/VMT for each road segment and intersection in the area by time of day. The established model can predict the impact on traffic conditions due to the near-future US30 construction projects, and potential traffic management strategies are further evaluated.
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