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Library of Resources to Improve Roadway Work Zone Safety for All Roadway Users

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Publication

Using Combined Multi-criteria Decision-Making and Data Mining Methods for Work Zone Safety: A Case Analysis

Author/Presenter: Moradpour, Samareh; Long, Suzanna Maupin
Abstract:
Work zone accidents are important concerns for transportation decision-makers. Therefore, knowledge of driving behaviors and traffic patterns are essential for identifying significant risk factors (RF) in work zones. Such knowledge can be difficult obtain in a field study without introducing new risks or driving hazards. This research uses integrated data mining and multi-criteria decision-making (MCDM) methods as part of a simulator-based case study of work zone logistics along a highway in Missouri. The research design incorporates k-mean clustering to cluster driving behavior trends, analytic network process (ANP) to determine weights for criteria that are most likely to impact work zones, and the Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to rank the alternatives (clusters). Transportation engineers and decision makers can use results from this case study to identify driving populations most likely to engage in risky driving behaviors within work zones, and to provide guidance on effective work zone management.
Source: Case Studies on Transport Policy
Volume: 7
Issue: 2
Publication Date: 2019
Full Text URL: Link to URL
Publication Types: Books, Reports, Papers, and Research Articles
Topics: Behavior; Risk Analysis; Work Zone Safety; Work Zones

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