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 in | Journal of Central South University Vol. 24; no. 6; pp. 1513 - 1521 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Changsha
Central South University
01.06.2017
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 2095-2899 2227-5223 |
DOI | 10.1007/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. |
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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 |
Author_xml | – sequence: 1 givenname: Pei surname: Liu fullname: Liu, Pei organization: Jiangsu Key Laboratory of Urban ITS, Southeast University; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies; Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things, Southeast University – sequence: 2 givenname: Jian surname: Zhang fullname: Zhang, Jian email: jianzhang@seu.edu.cn organization: Jiangsu Key Laboratory of Urban ITS, Southeast University; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies; Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things, Southeast University – sequence: 3 givenname: Jun-rong surname: Qu fullname: Qu, Jun-rong organization: Jiangsu Key Laboratory of Urban ITS, Southeast University; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies; Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things, Southeast University – sequence: 4 givenname: Jia-jian surname: Lu fullname: Lu, Jia-jian organization: Jiangsu Key Laboratory of Urban ITS, Southeast University; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies; Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things, Southeast University – sequence: 5 givenname: Yang surname: Cheng fullname: Cheng, Yang organization: Traffic Operations and Safety (TOPS) Laboratory, Department of Civil and Environment Engineering, University of Wisconsin-Madison – sequence: 6 givenname: Hua-chun surname: Tan fullname: Tan, Hua-chun organization: Department of Transportation Engineering, Beijing Institute of Technology |
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References_xml | – reference: European Conference of Ministers of Transport ECMT.Managing urban traffic congestion [M]2007ParisOECD Press – reference: ChengYParkerS R BNoyceDEnhanced analysis of work zone safety through integration of statewide crash data with lane closure system data [J]Transportation Research Record: Journal of the Transportation Research Board20122291172510.3141/2291-03 – reference: Wisconsin Department of Transportation. TOPS Laboratory UW-Madison, VSPOC Traffic Detector Database Tools [EB/OL]. [2012-07-01]. http://transportal.cee.wisc.edu/applications/vspoc. html – reference: Federal Highway Administration. Facts and statistics-work zone injuries and fatalities [R]. Work Zone Mobility and Safety Program: USA: FHWA, 2012. – reference: BORRONI Claudio Giovanni, CHIODINI Paola Maddalena.A competitor of the Kolmogorov-Smirnov test for the goodness-of-fit problem [J]International Journal of Statistics and Probability201321115 – reference: KimTLovellD JParachaJA new methodology to estimate capacity for freeway work zones [C]//80th Annual Meeting of the Transportation Research Board2001 – reference: Federal Highway Administration.Traffic congestion and reliability: Linking solutions to problems [R]2004Washington, D C, USAFHWA, U.S. Department of Transportation – reference: Ai-KaisyA FZhouMHallFredNew insights into freeway capacity at work zones: An empirical case study [J]Transportation Research Record: Journal of the Transportation Research Board20001710115416010.3141/1710-18 – reference: WengJ-xMengQiangA decision tree-based model for work zone capacity estimation [J]Transportation Research Record: Journal of the Transportation Research Board20112257405010.3141/2257-05 – reference: RouphailN MTiwariGFlow characteristics at freeway lane closures [J]Transportation Research Record: Journal of the Transportation Research Board198510355058 – reference: PORTAL. The PROTAL Project [EB/OL]. 2012-07-01 http://portal. its.pdx.edu/ Portal/index.php/home/. – reference: BenekohalR FKaja-MohideenA ZChitturiM VMethodology for estimating operating speed and capacity in work zone [J]Transportation Research Record: Journal of the Transportation Research Board2004183310311110.3141/1883-12 – reference: MazeT HSchrockS DKamyabACapacity of freeway work zone lane closures [C]//Mid-Continent Transportation Symposium 2000 Proceedings2000Ames, USAIowa State University178183 – reference: Transportation Research Board. Highway capacity manual 2010 [R]. Washington, D C, USA: TRB, National Research Council, 2010 – reference: KramesR ALopezG OUpdated capacity values for short-term freeway work zone lane closures [J]Transportation Research Record: Journal of the Transportation Research Board199414424956 – reference: WISCONSIN DEPARTMENT OF TRANSPORTATION. Wisconsin Traffic Operations and Safety Laboratory, The Wistransportal Project [EB/OL]. 2012-07-01. http://transportal.cee.wisc.edu/. – reference: Performance Measurement Systme (PEMS). Caltrans performance measurement system. [EB/OL]. [2012-07-01] http://pems.dot.ca.gov/?redirect=%2F%3Fdnode%3DState. – reference: Wisconsin DOT, TOPS Laboratory UW-Madison. Lane Closure System. [2012-07-01]. [EB/OL]. http://transportal.cee.wisc.edu/ closures. – volume-title: Managing urban traffic congestion [M] year: 2007 ident: 3555_CR3 doi: 10.1787/9789282101506-en – volume: 1710 start-page: 154 issue: 1 year: 2000 ident: 3555_CR10 publication-title: Transportation Research Record: Journal of the Transportation Research Board doi: 10.3141/1710-18 – volume: 2291 start-page: 17 year: 2012 ident: 3555_CR5 publication-title: Transportation Research Record: Journal of the Transportation Research Board doi: 10.3141/2291-03 – volume-title: 80th Annual Meeting of the Transportation Research Board year: 2001 ident: 3555_CR11 – volume: 2257 start-page: 40 year: 2011 ident: 3555_CR12 publication-title: Transportation Research Record: Journal of the Transportation Research Board doi: 10.3141/2257-05 – volume-title: Traffic congestion and reliability: Linking solutions to problems [R] year: 2004 ident: 3555_CR2 – ident: 3555_CR14 – volume: 1035 start-page: 50 year: 1985 ident: 3555_CR7 publication-title: Transportation Research Record: Journal of the Transportation Research Board – ident: 3555_CR13 – ident: 3555_CR15 – start-page: 178 volume-title: Mid-Continent Transportation Symposium 2000 Proceedings year: 2000 ident: 3555_CR9 – ident: 3555_CR16 – ident: 3555_CR17 – volume: 2 start-page: 1 issue: 1 year: 2013 ident: 3555_CR18 publication-title: International Journal of Statistics and Probability – volume: 1833 start-page: 103 year: 2004 ident: 3555_CR6 publication-title: Transportation Research Record: Journal of the Transportation Research Board doi: 10.3141/1883-12 – volume: 1442 start-page: 49 year: 1994 ident: 3555_CR8 publication-title: Transportation Research Record: Journal of the Transportation Research Board – ident: 3555_CR4 – ident: 3555_CR1 |
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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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