Research

Affiliated AZTrans faculty and student researchers contribute to an array of externally funded research projects in the focus areas of traffic and transportation operations, traffic safety, transportation planning, and bridge design and construction.

Traffic and Transportation Operations

Bridge Design and Construction


Traffic Safety

Transportation Planning

Projects

Evaluation of the Traffic Signal Timing Manual, 3rd Edition

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Sponsor: NCHRP, Iowa State University, prime PI: Edward Smaglik Co-PIs: Steven Gehrke and Brendan Russo NAU, in conjunction with Iowa State University, the University of Idaho, Mead & Hunt, and Illumine Transportation are tasked with providing guidance on utilizing up-to-date effective practices and research outcomes that have been successfully implemented after STMv2. At the minimum, the research shall: Support an objectives-oriented, actively managed traffic signal timing process that starts with goals, considers context, supports the implementation of strategies and tactics,…

Evaluation of Emerging Transportation Technologies: Flow Labs’ Traffic Signal Optimization Software in Gilbert, AZ

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Sponsor: Maricopa Association of Governments PI: Edward Smaglik Co-PI: Brendan Russo The Northern Arizona University team will perform a qualitative and quantitative evaluation of Flow Labs’ traffic evaluation and optimization software deployed across a corridor in the Maricopa Association of Governments (MAG) region, Higley Road in the Town of Gilbert. Quantitatively, travel times and speeds along the subject corridor will be compared before and after various timing changes recommended by the software platform. Qualitatively, interviews with Town of Gilbert personnel…

Installation and Evaluation of an ATMS in Phoenix, AZ

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Sponsor: City of Phoenix, AZ PI: Edward Smaglik Co-PIs: Steven Gehrke and Brendan Russo Given the results previous evaluation and a desire to better serve City residents, the City of Phoenix would like to implement the KITS ATMS to monitor and control their traffic signal controllers, including Econolite ASC/3, Econolite Cobalt, Econolite EOS, and Siemens NextPhase controllers. AZTrans personnel will provide project management services for the installation, calibration, and configuration of a KITS system serving 550 traffic signals owned and…

Pacific Southwest Region 9 University Transportation Center Consortium Member

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Sponsor: USDOT, through USC PI: Edward Smaglik Co-PIs: Steven Gehrke and Brendan Russo The Pacific Southwest Region University Transportation Center is the Region 9 University Transportation Center funded under the US Department of Transportation’s University Transportation Centers Program. Established in 2016, the Pacific Southwest Region UTC (PSR) is led by the University of Southern California and includes nine partners: California State University, Long Beach Northern Arizona University Pima Community College University of California, Berkeley University of California, Davis University of…

Prioritizing Bicyclist Safety and Mobility: Which Guidance Do I Use?

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Sponsor: USDOT, through PSR9 UTC PI: Edward Smaglik Co-PI: Brendan Russo Historically bicyclists may have been an afterthought and expected to share space with motor vehicles, however, this is outdated attitude is giving way to new approaches found in various bicycle infrastructure design guidance documents. This study used a multi-staged approach to investigate the usage of these guides by state and local agencies. A literature review synthesized literature and published guides on bicycle infrastructure design and was followed by a…
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Journal Articles

A.E. Martinez, C.D. Phair, B.J. Russo, & S.R. Gehrke. (2023) Exploring neighborhood differences in bicycling accessibility to physical and virtual workplaces. Transportation Research Record: Journal of the Transportation Research Board.

Razi, A., Chen, X., Li, H., Wang, H., Russo, B., Chen, Y., & Yu, H. (2023). Deep learning serves traffic safety analysis: A forward‐looking review. IET Intelligent Transport Systems, 17(1), 22-71.

Russo, B. J., Yu, F., & Smaglik, E. J. (2023). Examination of factors associated with fault status and injury severity in intersection-related rear-end crashes: application of binary and bivariate ordered probit models. Safety science, 164, 106187.

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Sponsors and Partners

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