IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v89y2014icp236-244.html
   My bibliography  Save this article

Soft-Computing: An innovative technological solution for urban traffic-related problems in modern cities

Author

Listed:
  • Salcedo-Sanz, S.
  • Cuadra, L.
  • Alexandre-Cortizo, E.
  • Jiménez-Fernández, S.
  • Portilla-Figueras, A.

Abstract

Urban traffic-related problems are a major point of concern in the majority of cities in the world. These problems arise in many different aspects, such as providing fast congestion-free routes in a city (improving the mobility of its inhabitants), or solving problems caused by the continuous presence of vehicles on the road (reducing thus the levels of noise and CO2 emission). Many of these problems can be mathematically expressed as optimization, classification or regression models, and involve, in most of the cases, huge search-spaces or hard constraints. In this paper we discuss one of these problems, the so called Reconfiguration One-Way Traffic Optimization Problem (ROWTOP). The problem consists in optimizing the directions of one-way streets in a city, in those cases in which this reconfiguration is needed because of the appearance of a major problem that involves prolonged street cuts. The problem is defined as a multi-objective optimization case and is solved by using a Soft-Computing (SC) approach based on an evolutionary algorithm (the NSGA-II technique). Its performance is discussed in a real problem in a Spanish city, achieving excellent results and showing the feasibility of these techniques as an innovative technology-based approaches, able to upgrade cities without incurring in exorbitant expenditures, helping politicians in making decisions and, ultimately, making cities more sustainable and better places to live.

Suggested Citation

  • Salcedo-Sanz, S. & Cuadra, L. & Alexandre-Cortizo, E. & Jiménez-Fernández, S. & Portilla-Figueras, A., 2014. "Soft-Computing: An innovative technological solution for urban traffic-related problems in modern cities," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 236-244.
    • Handle: RePEc:eee:tefoso:v:89:y:2014:i:c:p:236-244
    DOI: 10.1016/j.techfore.2013.08.035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162513002205
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2013.08.035?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cantarella, G.E. & Pavone, G. & Vitetta, A., 2006. "Heuristics for urban road network design: Lane layout and signal settings," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1682-1695, December.
    2. Sohn, Keemin, 2011. "Multi-objective optimization of a road diet network design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 499-511, July.
    3. Schuckmann, Steffen W. & Gnatzy, Tobias & Darkow, Inga-Lena & von der Gracht, Heiko A., 2012. "Analysis of factors influencing the development of transport infrastructure until the year 2030 — A Delphi based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1373-1387.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Minako Hara & Tomomi Nagao & Shinsuke Hannoe & Jiro Nakamura, 2016. "New Key Performance Indicators for a Smart Sustainable City," Sustainability, MDPI, vol. 8(3), pages 1-19, March.

    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. Long, Jiancheng & Szeto, W.Y. & Huang, Hai-Jun, 2014. "A bi-objective turning restriction design problem in urban road networks," European Journal of Operational Research, Elsevier, vol. 237(2), pages 426-439.
    2. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
    3. David Eichler & Hillel Bar-Gera & Meir Blachman, 2013. "Vortex-Based Zero-Conflict Design of Urban Road Networks," Networks and Spatial Economics, Springer, vol. 13(3), pages 229-254, September.
    4. 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.
    5. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
    6. Khooban, Zohreh & Farahani, Reza Zanjirani & Miandoabchi, Elnaz & Szeto, W.Y., 2015. "Mixed network design using hybrid scatter search," European Journal of Operational Research, Elsevier, vol. 247(3), pages 699-710.
    7. Ülengin, Füsun & Işık, Mine & Ekici, Şule Önsel & Özaydın, Özay & Kabak, Özgür & Topçu, Y. İlker, 2018. "Policy developments for the reduction of climate change impacts by the transportation sector," Transport Policy, Elsevier, vol. 61(C), pages 36-50.
    8. Fritschy, Carolin & Spinler, Stefan, 2019. "The impact of autonomous trucks on business models in the automotive and logistics industry–a Delphi-based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    9. Vo, Khoa D. & Lam, William H.K. & Chen, Anthony & Shao, Hu, 2020. "A household optimum utility approach for modeling joint activity-travel choices in congested road networks," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 93-125.
    10. Chung, Jin-Hyuk & Bae, Yun Kyung & Kim, Jinhee, 2016. "Optimal sustainable road plans using multi-objective optimization approach," Transport Policy, Elsevier, vol. 49(C), pages 105-113.
    11. Jin Qin & Yuxin He & Linglin Ni, 2014. "Quantitative Efficiency Evaluation Method for Transportation Networks," Sustainability, MDPI, vol. 6(12), pages 1-15, November.
    12. Shankar, Ravi & Pathak, Devendra Kumar & Choudhary, Devendra, 2019. "Decarbonizing freight transportation: An integrated EFA-TISM approach to model enablers of dedicated freight corridors," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 85-100.
    13. Elnaz Miandoabchi & Reza Farahani & Wout Dullaert & W. Szeto, 2012. "Hybrid Evolutionary Metaheuristics for Concurrent Multi-Objective Design of Urban Road and Public Transit Networks," Networks and Spatial Economics, Springer, vol. 12(3), pages 441-480, September.
    14. S H Melouk & B B Keskin & C Armbrester & M Anderson, 2011. "A simulation optimization-based decision support tool for mitigating traffic congestion," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1971-1982, November.
    15. Guillermo Ivan Pereira & Patrícia Pereira Silva & Deborah Soule, 2018. "Policy-adaptation for a smarter and more sustainable EU electricity distribution industry: a foresight analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 231-267, December.
    16. Kluge, Ulrike & Ringbeck, Jürgen & Spinler, Stefan, 2020. "Door-to-door travel in 2035 – A Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    17. Soria-Lara, Julio A. & Ariza-Álvarez, Amor & Aguilera-Benavente, Francisco & Cascajo, Rocío & Arce-Ruiz, Rosa M. & López, Cristina & Gómez-Delgado, Montserrat, 2021. "Participatory visioning for building disruptive future scenarios for transport and land use planning," Journal of Transport Geography, Elsevier, vol. 90(C).
    18. Les Foulds & Daniel Duarte & Hugo Nascimento & Humberto Longo & Bryon Hall, 2014. "Turning restriction design in traffic networks with a budget constraint," Journal of Global Optimization, Springer, vol. 60(2), pages 351-371, October.
    19. Saba, Charles Shaaba, 2021. "Convergence and transition paths in transportation: Fresh insights from a club clustering algorithm," Transport Policy, Elsevier, vol. 112(C), pages 80-93.
    20. Jing Zhao & Jie Yu & Xiaomei Xia & Jingru Ye & Yun Yuan, 2019. "Exclusive Bus Lane Network Design: A Perspective from Intersection Operational Dynamics," Networks and Spatial Economics, Springer, vol. 19(4), pages 1143-1171, December.

    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:eee:tefoso:v:89:y:2014:i:c:p:236-244. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.