IDEAS home Printed from https://ideas.repec.org/a/vrs/ecothe/v61y2023i1p1-18n5.html
   My bibliography  Save this article

Work Zone Scheduling Problem in the Urban Traffic Networks

Author

Listed:
  • Teodorović Dušan

    (1 Serbian Academy of Sciences and Arts, Belgrade, Republic of Serbia)

  • Nikolić Miloš

    (2 University of Belgrade, Faculty of Transport and Traffic Engineering, Republic of Serbia)

Abstract

A significant part of highway and street congestion is produced by work zones. Depending on the type of construction and/or rehabilitation activity, street capacity could be significantly decreased, or the street could be completely closed. The work zone generates traffic delays in the street where maintenance is performed. Additionally, the work zone generates additional traffic on the neighboring streets, since many drivers change their routes. There are numerous possible work zone schedules. The total travel time of all network users highly depends on the chosen work zones schedule. Work zones scheduling problem has a natural nested structure that requires to be modeled as a bi-level problem. We considered the bi-level work zones scheduling problem. The objective function in the upper level, which we try to minimize, represents the total travel time of all network users. Relations in the lower level, help us to compute User Equilibrium flows. The proposed solution to the problem is based on the combination of Integer Programming and a heuristic traffic assignment algorithm. The output of the developed model consists of the start time of each work zone. The Sioux Falls benchmark network is used to illustrate the proposed procedures and the achieved performances.

Suggested Citation

  • Teodorović Dušan & Nikolić Miloš, 2023. "Work Zone Scheduling Problem in the Urban Traffic Networks," Economic Themes, Sciendo, vol. 61(1), pages 1-18, March.
  • Handle: RePEc:vrs:ecothe:v:61:y:2023:i:1:p:1-18:n:5
    DOI: 10.2478/ethemes-2023-0001
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ethemes-2023-0001
    Download Restriction: no

    File URL: https://libkey.io/10.2478/ethemes-2023-0001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Anandalingam, G. & Apprey, Victor, 1991. "Multi-level programming and conflict resolution," European Journal of Operational Research, Elsevier, vol. 51(2), pages 233-247, March.
    2. Saeed Asadi Bagloee & Majid Sarvi, 2018. "An outer approximation method for the road network design problem," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-28, March.
    3. Ben-Ayed, Omar & Boyce, David E. & Blair, Charles E., 1988. "A general bilevel linear programming formulation of the network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 22(4), pages 311-318, August.
    4. Byung Kim & Wonkyu Kim & Byung Song, 2008. "Sequencing and scheduling highway network expansion using a discrete network design model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(3), pages 621-642, September.
    5. LeBlanc, Larry J. & Boyce, David E., 1986. "A bilevel programming algorithm for exact solution of the network design problem with user-optimal flows," Transportation Research Part B: Methodological, Elsevier, vol. 20(3), pages 259-265, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Farahani, Reza Zanjirani & Miandoabchi, Elnaz & Szeto, W.Y. & Rashidi, Hannaneh, 2013. "A review of urban transportation network design problems," European Journal of Operational Research, Elsevier, vol. 229(2), pages 281-302.
    2. Anny B. Wang & W. Y. Szeto, 2020. "Bounding the Inefficiency of the Reliability-Based Continuous Network Design Problem Under Cost Recovery," Networks and Spatial Economics, Springer, vol. 20(2), pages 395-422, June.
    3. Zhong, Tao & Young, Rhonda, 2010. "Multiple Choice Knapsack Problem: Example of planning choice in transportation," Evaluation and Program Planning, Elsevier, vol. 33(2), pages 128-137, May.
    4. Ang, Sheng & Liu, Pei & Yang, Feng, 2020. "Intra-Organizational and inter-organizational resource allocation in two-stage network systems," Omega, Elsevier, vol. 91(C).
    5. Rocco S, Claudio M. & Ramirez-Marquez, José Emmanuel, 2009. "Deterministic network interdiction optimization via an evolutionary approach," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 568-576.
    6. Amirali Zarrinmehr & Mahmoud Saffarzadeh & Seyedehsan Seyedabrishami & Yu Marco Nie, 2016. "A path-based greedy algorithm for multi-objective transit routes design with elastic demand," Public Transport, Springer, vol. 8(2), pages 261-293, September.
    7. Ahlatcioglu, Mehmet & Tiryaki, Fatma, 2007. "Interactive fuzzy programming for decentralized two-level linear fractional programming (DTLLFP) problems," Omega, Elsevier, vol. 35(4), pages 432-450, August.
    8. Jen-Jia Lin & Chia-Jung Yu, 2013. "A bikeway network design model for urban areas," Transportation, Springer, vol. 40(1), pages 45-68, January.
    9. Giulio Cantarella & Antonino Vitetta, 2006. "The multi-criteria road network design problem in an urban area," Transportation, Springer, vol. 33(6), pages 567-588, November.
    10. Elnaz Miandoabchi & Reza Farahani & W. Szeto, 2012. "Bi-objective bimodal urban road network design using hybrid metaheuristics," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(4), pages 583-621, December.
    11. Hecheng Li, 2015. "A genetic algorithm using a finite search space for solving nonlinear/linear fractional bilevel programming problems," Annals of Operations Research, Springer, vol. 235(1), pages 543-558, December.
    12. Hosseininasab, Seyyed-Mohammadreza & Shetab-Boushehri, Seyyed-Nader, 2015. "Integration of selecting and scheduling urban road construction projects as a time-dependent discrete network design problem," European Journal of Operational Research, Elsevier, vol. 246(3), pages 762-771.
    13. Solanki, Rajendra S. & Gorti, Jyothi K. & Southworth, Frank, 1998. "Using decomposition in large-scale highway network design with a quasi-optimization heuristic," Transportation Research Part B: Methodological, Elsevier, vol. 32(2), pages 127-140, February.
    14. Kalinowski, Thomas & Matsypura, Dmytro & Savelsbergh, Martin W.P., 2015. "Incremental network design with maximum flows," European Journal of Operational Research, Elsevier, vol. 242(1), pages 51-62.
    15. Cohn, Amy & Davey, Melinda & Schkade, Lisa & Siegel, Amanda & Wong, Caris, 2008. "Network design and flow problems with cross-arc costs," European Journal of Operational Research, Elsevier, vol. 189(3), pages 890-901, September.
    16. T. Kim & Sunduck Suh, 1988. "Toward developing a national transportation planning model: A bilevel programming approach for Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 22(1), pages 65-80, February.
    17. Sun, Yanshuo & Schonfeld, Paul, 2015. "Stochastic capacity expansion models for airport facilities," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 1-18.
    18. Lígia Conceição & Gonçalo Homem de Almeida Correia & José Pedro Tavares, 2020. "The Reversible Lane Network Design Problem (RL-NDP) for Smart Cities with Automated Traffic," Sustainability, MDPI, vol. 12(3), pages 1-22, February.
    19. Puchit Sariddichainunta & Masahiro Inuiguchi, 2017. "Global optimality test for maximin solution of bilevel linear programming with ambiguous lower-level objective function," Annals of Operations Research, Springer, vol. 256(2), pages 285-304, September.
    20. Hosseininasab, Seyyed-Mohammadreza & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza & Karimi, Hadi, 2018. "A multi-objective integrated model for selecting, scheduling, and budgeting road construction projects," European Journal of Operational Research, Elsevier, vol. 271(1), pages 262-277.

    More about this item

    Keywords

    Work Zones; Traffic Assignment; Combinatorial Optimization; Incremental algorithm;
    All these keywords.

    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:ecothe:v:61:y:2023:i:1:p:1-18:n:5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.