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    Unsupervised Approach to Investigate Urban Traffic Crashes Based on Crash Unit, Crash Severity, and Manner of Collision 

    Source: Journal of Transportation Engineering, Part A: Systems:;2024:;Volume ( 150 ):;issue: 008:;page 04024037-1
    Author(s): Farzin Maniei; Stephen P. Mattingly
    Publisher: American Society of Civil Engineers
    Abstract: Both crash frequency analysis (CFA) and real-time crash prediction models (RTCPMs) divide a highway into small segments with a constant length [typically 0.161 km (0.10 mi)] for data aggregation. Many previous ...
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    Evaluation of Bicycle Network Connectivity Using Graph Theory and Level of Traffic Stress 

    Source: Journal of Transportation Engineering, Part A: Systems:;2023:;Volume ( 149 ):;issue: 009:;page 04023080-1
    Author(s): Md Mintu Miah; Stephen P. Mattingly; Kate Kyung Hyun
    Publisher: ASCE
    Abstract: The quality of the bicycle network determines ridership, safety, connectivity, equity, and livability. Very few former research studies investigated network connectivity for individual user types and identify network needs ...
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    Mastery-Level Achievement Method for Assessing Module-Based Educational Tools 

    Source: Journal of Professional Issues in Engineering Education and Practice:;2019:;Volume ( 145 ):;issue: 004
    Author(s): Ziaur Rahman; Stephen P. Mattingly; Colleen Casey; Sunil K. Madanu
    Publisher: American Society of Civil Engineers
    Abstract: Active-based learning techniques provide an effective pedagogical strategy to support student learning. This paper describes the development of new assessment techniques to evaluate an active-based intervention incorporated ...
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    Challenges and Opportunities of Emerging Data Sources to Estimate Network-Wide Bike Counts 

    Source: Journal of Transportation Engineering, Part A: Systems:;2021:;Volume ( 148 ):;issue: 003:;page 04021122
    Author(s): Md. Mintu Miah; Kate Kyung Hyun; Stephen P. Mattingly; Joseph Broach; Nathan McNeil; Sirisha Kothuri
    Publisher: ASCE
    Abstract: Emerging sources of mobile location data such as Strava and other phone-based apps may provide useful information for assessing bicycle activity on each link of a network. Despite their potential to complement traditional ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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