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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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
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ISSN2095-2899
2227-5223
DOI10.1007/s11771-017-3555-0

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Abstract 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.
AbstractList 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.
Author Tan, Hua-chun
Liu, Pei
Lu, Jia-jian
Cheng, Yang
Zhang, Jian
Qu, Jun-rong
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mobility impact
ITS data
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Snippet 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...
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SubjectTerms Engineering
Flow characteristics
Mathematical models
Metallic Materials
Reduction
Statistical analysis
Traffic accidents & safety
Title Evaluation of mobility impact on urban work zones using statistical models
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