Browse > Article
http://dx.doi.org/10.7470/jkst.2013.31.1.077

Capacity Estimation Models for Work-zones Under Traffic Signal Influence and the Empirical Validation  

Shin, Chi-Hyun (Department of Urban & Transportation Engineering, Kyonggi University)
Publication Information
Journal of Korean Society of Transportation / v.31, no.1, 2013 , pp. 77-86 More about this Journal
Abstract
This paper focuses on the development of analytical models for estimating the changes in saturation flow rates (SFR) at the stop-lines of a signalized intersection due to the existence of nearby work-zones, and thereby calculating the prevailing capacity values for specific lane groups. Major changes were incorporated in the logics of previous models and significant revisions have been made to secure the accuracy and simplicity. Furthermore, much attention was paid to model validation by making comparisons to both extensive simulation results and empirical data from various sites. It was found that SFRs are highly sensitive to the location of work-zones, the distance to each work-zone from the stop-line of a concerned approach, the number of lanes open and closed, and the effective green time. Using such geometric and operating conditions that constitute work-zone environment, the proposed models successfully estimated SFR values with a miniscule margin of error.
Keywords
Analytical Models; Capacity; Signalized Intersection; S.F.R.; Work-zone;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Jung H., Lee C. (2006), Capacity Drop Due to Various Incidents on Freeways, The 53rd Conference of Korean Society of Transportation, Korean Society of Transportation, pp.401-410.
2 Kim D., Lee S. (1998), Traffic Characteristics on Lane Drop Areas around Highway Work Zones, J. Korean Soc. Civil Eng., Vol.18, No. III-4, KSCE, pp.445-462.
3 Kim T., Lovell D., Paracha J. (2001), A New Methodology to Estimate Capacity for Freeway Work Zones, TRB Annual Meeting.
4 Ko J. (2005), The Study on Permission and Management System Improvement of Traffic Control System on Road Works, Master Thesis, Graduate School of Urban Science, University of Seoul.
5 Krammes R. A., Lopez G. O. (1994), Updated Capacity Values for Short-term Freeway Work Zone Lane Closures, TRR 1442, TRB Washington D.C.
6 KST (2012), Highway Capacities under Special Situations including Roundabouts, Workzones and Inclement Weather Conditions: Final Draft Report, Korea Society of Transportation.
7 May A. (1990), Traffic Flow Fundamentals, Prentice Hall, New Jersey.
8 Memmott J. L., Dudek C. L. (1984), Queue and User Cost Evaluation of Work Zones (QUEWZ), TRR 979, TRB Washington D.C.
9 MOCT (2001), Korean Highway Capacity Manual, Ministry of Construction and Transportation.
10 Oh J., Ko D. (1998), Analysis of Traffic Flow on the Lane Closure due to Road Construction, The 34th Conference of Korean Society of Transportation, Korean Society of Transportation, pp.116-125.   과학기술학회마을
11 Park J. N., Oh Y. T. (2007), The Method to Estimate the Length of Transition Area at the Construction Area in the Freeway, The 55th Conference of Korean Society of Transportation, Korean Society of Transportation, pp.393-401.   과학기술학회마을
12 Praveen K. E. (2007), Estimation of Traffic Mobility Impacts at Work Zones : State of The Practice, TRB Annual Meeting.
13 Rahim F. B. et al. (2003), Evaluation of Construction Work Zone Operational Issue : Capacity, Queue, and Delay, Illinois Transportation Research Center.
14 TRB (2000), Highway Capacity Manual, National Research Council, TRB Washington D.C.
15 Eo H., Shin C. (2010), Development of SFR Estimation Models Considering Workzones in the Vicinity of Signalized Intersections, J. Korean Soc. Transp., Vol.28, No.6, Korean Society of Transportation, pp.109-120.
16 TRB (2010), Highway Capacity Manual, National Research Council, TRB Washington D.C.
17 Elefteriadou L. et al. (2008), Impact of Lane Closures on Roadway Capacity : Project Report, Florida Department of Transportation.