Evaluation of mobility impact on urban work zones using statistical models

This work correlated the detailed work zone location and time data from the WisLCS system with the five-min inductive loop detector data. One-sample percentile value test and two-sample Kolmogorov-Smirnov (K-S) test were applied to compare the speed and flow characteristics between work zone and non...

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Bibliographic Details
Published inJournal of Central South University Vol. 24; no. 6; pp. 1513 - 1521
Main Authors Liu, Pei, Zhang, Jian, Qu, Jun-rong, Lu, Jia-jian, Cheng, Yang, Tan, Hua-chun
Format Journal Article
LanguageEnglish
Published Changsha Central South University 01.06.2017
Springer Nature B.V
Subjects
Engineering
Flow characteristics
Mathematical models
Metallic Materials
Reduction
Statistical analysis
Traffic accidents & safety
work zone
statistical model
mobility impact
ITS data
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ISSN2095-2899
2227-5223
DOI10.1007/s11771-017-3555-0

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Summary:This work correlated the detailed work zone location and time data from the WisLCS system with the five-min inductive loop detector data. One-sample percentile value test and two-sample Kolmogorov-Smirnov (K-S) test were applied to compare the speed and flow characteristics between work zone and non-work zone conditions. Furthermore, we analyzed the mobility characteristics of freeway work zones within the urban area of Milwaukee, WI, USA. More than 50% of investigated work zones have experienced speed reduction and 15%−30% is necessary reduced volumes. Speed reduction was more significant within and at the downstream of work zones than at the upstream.
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ISSN:2095-2899
2227-5223
DOI:10.1007/s11771-017-3555-0