2021
DOI: 10.1177/03611981211002202
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Review of Methods for Estimating Construction Work Zone Capacity

Abstract: Road reconstruction and the resulting work zones are considered as a major source of traffic congestion and delays on freeways. The roadway capacity is decreased as a result of a reduced number of traffic lanes, narrower lanes, and work zone speed limits. Accurate prediction of construction work zone capacity helps traffic engineers to have a better estimation of the traffic flow characteristics. To this end, multiple methodologies have been developed to quantify the impacts of work zones on traffic flow. This… Show more

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Cited by 15 publications
(6 citation statements)
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“…Combined with the dynamic assessment of the needs of ecosystem service functions in the study area, the extraction of land use/cover types in the Dachen River Wetland Nature Reserve requires three phases of remote sensing images[7]. ENVI5.3 was used to conduct atmospheric correction, radiometric calibration, image clipping, band synthesis, and image enhancement for the obtained 3 phase remote sensing images as shown in Table…”
mentioning
confidence: 99%
“…Combined with the dynamic assessment of the needs of ecosystem service functions in the study area, the extraction of land use/cover types in the Dachen River Wetland Nature Reserve requires three phases of remote sensing images[7]. ENVI5.3 was used to conduct atmospheric correction, radiometric calibration, image clipping, band synthesis, and image enhancement for the obtained 3 phase remote sensing images as shown in Table…”
mentioning
confidence: 99%
“…rather than link information, it is challenging to use them to cluster similar links. Conversely, the number of lanes and speed limit affect the capacity of the construction section network [43,44] since network capacity is related to the traffic speed [45]. erefore, similar links were classified as k-means clustering input variables using the number of lanes and speed limit.…”
Section: Cluster Analysismentioning
confidence: 99%
“…The focus of the analysis here is on the interchanges on the national highway system in California. The inputs for model training are selected from the well-established variables that previous studies have illustrated their impacts on traffic volume estimation (16,23,31,32). These inputs are obtained from three primary sources, each of which is described in this section.…”
Section: Data Sourcesmentioning
confidence: 99%