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Optimizing work zones for highway maintenance with floating car data (FCD) : final report.
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2015-12-01
[PDF-3.17 MB]
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Edition:Final report
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Abstract:One of the main tools that the Department of Transportation (DOT) of each state in the United States should have to
support their work zone activities is a sound model that produces adequate work zone schedules for roadway maintenance
and construction projects; this should be able to to produce reliable estimates of the impacts on traffic flow characteristics
due to work zone activity. Existing analytical models used by DOTs have been developed based on traditional
volume/capacity formulas with deterministic traffic queuing theory. However, the shortcomings of these models often result
in inaccurate estimates of traffic flow delay, speed and associated costs. The objective of this report is to develop a
methodology that accomplishes the following: 1) Estimates the traffic flow characteristics in work zones using Floating Car
Data (FCD) also know as vehicle-probe data. 2) Minimizes the impact of work zones on traffic flow characteristics. 3)
Minimizes the total work zone impact cost (including maintenance cost, idling cost, vehicle emissions, and user cost) yielded
by the optimized work zone lengths and the associated schedule. The developed methodology takes advantage of the fact
that the majority of freeways throughout the United States are now monitored through vehicle probe data that are based on
the following technologies: 1) The proliferation of a GNSS (Global Navigation Satellite System) in vehicles and cellular
phones that provide vehicle location and speed data every second. 2) The proliferation of Bluetooth Technology (BT), in
which vehicle location and speed/travel time are estimated using BT installed at the side of the roadway – while BT is
currently under more limited coverage, which is expanding rapidly. These FCD technologies provide an added dimension to
the estimation of traffic flow characteristics in work zones, namely travel time, speed, and associated delay. To test this
methodology, two case studies were conducted using a real work zone on a segment of Interstate I-287 in New Jersey.
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