Use of Smart Work Zone Technologies for Improving Work Zone Safety (2022) / Chapter Skim
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Examples of FHWA and DOT Tools for Assessing Smart Work Zone Technologies During the Planning Phase F-3 Source: Arizona DOT n.d.b. Figure F-2.
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Table F-1. Critical project characteristics for smart work zone systems for Colorado DOT (Colorado DOT and Ulteig Engineers 2020)
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Critical Project Characteristics Smart Work Zone Systems A long-term lane closure will create a v/c condition that is very close to 1.0, and improved flow rates through the lane closure could reduce the likelihood that a queue would form, or reduce its duration significantly when a queue did form. O O O X O X The potential exists for queue spillback from the work zone into upstream interchanges or intersections (and resulting increase in crossstreet congestion and rear-end crashes)
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Critical Project Characteristics Smart Work Zone Systems Traffic speeds through the project vary widely due to oversaturated conditions during the peak period, and the timing and extent of congested travel will vary significantly day to day. X X X A reduced speed (and thus speed limit)
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Critical Project Characteristics Smart Work Zone Systems The location and design of the access points could create confusion for motorists (i.e., access to the workspace looks like an exit ramp and is near an existing actual exit ramp)
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Critical Project Characteristics Smart Work Zone Systems Travel Tim e Inform ation Q ueue W arning Variable Speed D ynam ic Late C onstruction Vehicle Ingress N otification Surveillance Speed and Volum e M onitoring O ver H eight D etection Tem porary R am p M etering Project documents include traffic mobility performance requirements (i.e., maximum allowable delays) that must be monitored to ensure and quantify compliance and subsequent incentives or penalties to be issued [performance specifications of mobility impacts (delay or queues)
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Examples of FHWA and DOT Tools for Assessing Smart Work Zone Technologies During the Planning Phase F-9 Source: Massachusetts DOT 2016b. Figure F-3.
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F-10 Use of Smart Work Zone Technologies for Improving Work Zone Safety Source: Massachusetts DOT 2016b. Figure F-4.
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Examples of FHWA and DOT Tools for Assessing Smart Work Zone Technologies During the Planning Phase F-11 Source: New Hampshire DOT 2016. Figure F-5.
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F-12 Use of Smart Work Zone Technologies for Improving Work Zone Safety Table F-2. Evaluation sheet for Real Time Work Zone Travel System (RTWZTS)
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Examples of FHWA and DOT Tools for Assessing Smart Work Zone Technologies During the Planning Phase F-13 4. Divide the highest volume of any peak hour during the day (6 a.m–8 a.m.)
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F-14 Use of Smart Work Zone Technologies for Improving Work Zone Safety Source: Texas DOT 2018. Figure F-6.
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Examples of FHWA and DOT Tools for Assessing Smart Work Zone Technologies During the Planning Phase F-15 Source: Texas DOT 2018. Figure F-7.
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F-16 Use of Smart Work Zone Technologies for Improving Work Zone Safety Source: Texas DOT 2018. Figure F-8.
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Examples of FHWA and DOT Tools for Assessing Smart Work Zone Technologies During the Planning Phase F-17 Source: Texas DOT 2018. Figure F-9.
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F-18 Use of Smart Work Zone Technologies for Improving Work Zone Safety Source: Texas DOT 2018. Figure F-10.
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Examples of FHWA and DOT Tools for Assessing Smart Work Zone Technologies During the Planning Phase F-19 Source: Texas DOT 2018. Figure F-11.
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F-20 Use of Smart Work Zone Technologies for Improving Work Zone Safety Table F-3. Summary scoring sheet for smart work zone technologies for Texas DOT.
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G-1 A P P E N D I X G Survey Results for DOT Use of Smart Work Zone Technologies by Climate Region
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Table G-1. Survey results for average frequency of use of smart work zone technologies by climate region.
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