Modelling of Queue Length in Freeway Work Zones – Case Study Karaj-Tehran Freeway

  • Mojtaba Mousazadeh Gilandeh Sapienza University of Rome, Rome, Italy
  • Sari Sharif Ali University of Guilan, Rasht, Iran
  • Mohammad Javad Goodarzi Sharif University of Technology, Tehran, Iran
  • Nahid Amini Islamic Azad University, Tehran, Iran
  • Hassan Latifi Islamic Azad University, Tehran, Iran https://orcid.org/0000-0002-9939-0349
Keywords: freeway work zone, modelling of queue length, traffic parameters, Karaj-Tehran freeway case study

Abstract

In this study, the traffic parameters were collected from three work zones in Iran in order to evaluate the queue length in the work zones. The work zones were observed at peak and non-peak hours. The results showed that abrupt changes in Freeway Free Speed (FFS) and arrival flow rate caused shockwaves and created a bottleneck in that section of the freeway. In addition, acceleration reduction, abrupt change in the shockwave speed, abrupt change in the arrival flow rate and increase in the percentage of heavy vehicles have led to extreme queue lengths and delay. It has been found that using daily traffic data for scheduling the maintenance and rehabilitation projects could diminish the queue length and delay. Also, by determining the bypass for heavy vehicles, the delay can be significantly reduced; by more than three times. Finally, three models have been presented for estimating the queue length in freeway work zones. Moreover, the procedure shown for creating a queue length model can be used for similar freeways.

References

Hang J, Yan X, Ma L, Duan K, Zhang Y. Exploring the effects of the location of the lane-end sign and traffic volume on multistage lane-changing behaviors in work zone areas: A driving simulator-based study. Transportation Research Part F: Traffic Psychology and Behaviour. 2018;58: 980-993. DOI: 10.1016/j.trf.2018.07.024

Karim A, Adeli H. Radial Basis Function Neural Network for Work Zone Capacity and Queue Estimation. Journal of Transportation Engineering. 2003;129(5). DOI: 10.1061/(ASCE)0733-947X(2003)129:5(494)

Chitturi M, Benekohal R. Work zone queue length and delay methodology. Transportation Letters. 2013;2(4): 273-283. DOI: 10.3328/Tl.2010.02.04.273-283

Li B, Cheng W, Li L. Lane-Based Queue Length Estimation in Heterogeneous Traffic Flow Consisting of Cars and Buses. Journal of Transportation Engineering, Part A: Systems. 2020;146(2). DOI: 10.1061/JTEPBS.0000299

Beacher AG, Fontaine MD, Garber NJ. Evaluation of the late merge work zone traffic control strategy. Virginia Transportation Research Council. No. FHWA/VTRC 05-R6, 2004.

Shibuya S, Nakatsuji T, Fujiwara T, Matsuyama E. Traffic control at flagger-operated work zones on two-lane roads. Transportation Research Record: Journal of the Transportation Research Board. 1996;1529(1): 3-9. DOI: 10.1177/0361198196152900101

Nam DH, Drew DR. Analyzing freeway traffic under congestion: Traffic dynamics approach. Journal of Transportation Engineering. 1998;124(3): 208-212. DOI: 10.1061/(ASCE)0733-947X(1998)124:3(208)

Son YT. Queueing delay models for two-lane highway work zones. Transportation Research Part B: Methodological. 1999;33(7): 459-471. DOI: 10.1016/S0191-2615(98)00043-5

Migletz J, Graham JL, Anderson IB, Harwood DW, Bauer KM. Work zone speed limit procedure. Transportation Research Record: Journal of the Transportation Research Board. 1999;1657(1): 24-30. DOI: 10.3141/1657-04

Ullman G, Dudek C. Theoretical approach to predicting traffic queues at short-term work zones on high-volume roadways in urban areas. Transportation Research Record: Journal of the Transportation Research Board. 2003;1824(1): 29-36. DOI: 10.3141/1824-04

Torquato Steinbakk R, Ulleberg P, Sagberg F, Fostervold KI. Analysing the influence of visible roadwork activity on drivers’speed choice at work zones using a video-based experiment. Transportation Research Part F: Traffic Psychology and Behaviour. 2017;44: 53-62. DOI: 10.1016/j.trf.2016.10.003

Weng J, Meng Q. Estimating capacity and traffic delay in work zones: An overview. Transportation Research Part C: Emerging Technologies. 2013;35: 34-45. DOI: 10.1016/j.trc.2013.06.005

Zhou J, Liu Q, Zhong L, Xie J, Zhou R. Model of Work Zone Capacity of Reconstructed Expressway. Procedia-Social and Behavioral Sciences. 2013;96: 210-217. DOI: 10.1016/j.sbspro.2013.08.028

Von der Heiden N, Geistefeldt J. Capacity of freeway work zones in Germany. Transportation Research Procedia. 2016;15: 233-244. DOI: 10.1016/j.trpro.2016.06.020

Comert G. Queue length estimation from probe vehicles at isolated intersections: Estimators for primary parameters. European Journal of Operational Research. 2016;252(2): 502-521. DOI: 10.1016/j.ejor.2016.01.040

Benekohal RF, Kaja-Mohideen A-Z, Chitturi MV. Evaluation of construction work zone operational issues: Capacity, queue, and delay. Illinois Transportation Research Center. Report No. ITRC FR 00/01-4, 2003.

Highway Capacity Manual 2000. Transportation Research Board, National Research Council, Washington, D.C.; 2000.

Ravani B, Wang C. Speeding in highway work zone: An Evaluation of methods of speed control. Accident Analysis & Prevention. 2018;113: 202-212. DOI: 10.1016/j.aap.2018.01.030

Published
2021-01-31
How to Cite
1.
Mousazadeh Gilandeh M, Ali SS, Goodarzi MJ, Amini N, Latifi H. Modelling of Queue Length in Freeway Work Zones – Case Study Karaj-Tehran Freeway. Promet [Internet]. 2021Jan.31 [cited 2024Dec.3];33(1):49-. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/3582
Section
Articles