IDEAS home Printed from https://ideas.repec.org/p/ipt/iptwpa/jrc69961.html
   My bibliography  Save this paper

Measuring road congestion

Author

Listed:

Abstract

The methodology presented here allows to measure and monitor road congestion across Europe using data from TomTom in-vehicle navigation systems. The approach is based on the analysis of a large number of real vehicle speeds that have been measured on each road link and the application of algorithms that allow the estimation of congestion indicators for specific types of roads during selected time periods. The results include the detailed mapping of recurrent congestion both geographically and temporally, as well as the comparison of the quality of service of road networks between different zones.

Suggested Citation

  • Panayotis Christidis & Juan Nicolás Ibanez Rivas, 2012. "Measuring road congestion," JRC Research Reports JRC69961, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc69961
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC69961
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Narayanan, Santhanakrishnan & Antoniou, Constantinos, 2022. "Electric cargo cycles - A comprehensive review," Transport Policy, Elsevier, vol. 116(C), pages 278-303.
    2. Guo Chao Alex Peng & Miguel Baptista Nunes & Luqing Zheng, 0. "Impacts of low citizen awareness and usage in smart city services: the case of London’s smart parking system," Information Systems and e-Business Management, Springer, vol. 0, pages 1-32.
    3. Frederik Priem & Philip Stessens & Frank Canters, 2020. "Microsimulation of Residential Activity for Alternative Urban Development Scenarios: A Case Study on Brussels and Flemish Brabant," Sustainability, MDPI, vol. 12(6), pages 1-28, March.
    4. Guo Chao Alex Peng & Miguel Baptista Nunes & Luqing Zheng, 2017. "Impacts of low citizen awareness and usage in smart city services: the case of London’s smart parking system," Information Systems and e-Business Management, Springer, vol. 15(4), pages 845-876, November.
    5. Miquel-Ángel Garcia-López & Ilias Pasidis & Elisabet Viladecans-Marsal, 2015. "Express delivery to the suburbs. The effects of transportation in Europe’s heterogeneous cities," Working Papers 2015/30, Institut d'Economia de Barcelona (IEB).
    6. Anna Dolinayova & Vladislav Zitricky & Lenka Cerna, 2020. "Decision-Making Process in the Case of Insufficient Rail Capacity," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    7. Hörcher, Daniel & Graham, Daniel J., 2020. "MaaS economics: Should we fight car ownership with subscriptions to alternative modes?," Economics of Transportation, Elsevier, vol. 22(C).
    8. Luca Pulvirenti & Luigi Tresca & Luciano Rolando & Federico Millo, 2023. "Eco-Driving Optimization Based on Variable Grid Dynamic Programming and Vehicle Connectivity in a Real-World Scenario," Energies, MDPI, vol. 16(10), pages 1-19, May.
    9. Daniel Albalate & Xavier Fageda, 2019. "Congestion, Road Safety, and the Effectiveness of Public Policies in Urban Areas," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    10. Rifki, Omar & Chiabaut, Nicolas & Solnon, Christine, 2020. "On the impact of spatio-temporal granularity of traffic conditions on the quality of pickup and delivery optimal tours," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    11. Thembani Moyo & Siphiwe Mbatha & Oluwayemi-Oniya Aderibigbe & Trynos Gumbo & Innocent Musonda, 2022. "Assessing Spatial Variations of Traffic Congestion Using Traffic Index Data in a Developing City: Lessons from Johannesburg, South Africa," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    12. Peñabaena-Niebles, Rita & Cantillo, Victor & Luis Moura, José, 2020. "The positive impacts of designing transition between traffic signal plans considering social cost," Transport Policy, Elsevier, vol. 87(C), pages 67-76.
    13. Pasidis, Ilias, 2019. "Congestion by accident? A two-way relationship for highways in England," Journal of Transport Geography, Elsevier, vol. 76(C), pages 301-314.
    14. Schubert, Daniel & Sys, Christa & Vanelslander, Thierry & Roumboutsos, Athena, 2022. "No-queue road pricing: A comprehensive policy instrument for Europe?," Utilities Policy, Elsevier, vol. 78(C).
    15. Vandyck, Toon & Rutherford, Thomas F., 2018. "Regional labor markets, commuting, and the economic impact of road pricing," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 217-236.
    16. Albalate, Daniel & Fageda, Xavier, 2021. "On the relationship between congestion and road safety in cities," Transport Policy, Elsevier, vol. 105(C), pages 145-152.
    17. Shi, Kunbo & De Vos, Jonas & Yang, Yongchun & Witlox, Frank, 2019. "Does e-shopping replace shopping trips? Empirical evidence from Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 21-33.
    18. Aris Christodoulou & Panayotis Christidis, 2020. "Measuring congestion in European cities: A focus on Brussels, Seville and Krakow," JRC Research Reports JRC118448, Joint Research Centre.
    19. Maria Attard & Muki Haklay & Cristina Capineri, 2016. "The Potential of Volunteered Geographic Information (VGI) in Future Transport Systems," Urban Planning, Cogitatio Press, vol. 1(4), pages 6-19.
    20. Chang, Yu Sang & Lee, Yong Joo & Choi, Sung Sup Brian, 2017. "Is there more traffic congestion in larger cities? -Scaling analysis of the 101 largest U.S. urban centers-," Transport Policy, Elsevier, vol. 59(C), pages 54-63.
    21. Moya-Gómez, Borja & García-Palomares, Juan Carlos, 2017. "The impacts of congestion on automobile accessibility. What happens in large European cities?," Journal of Transport Geography, Elsevier, vol. 62(C), pages 148-159.
    22. Marie Briguglio & Glenn Formosa, 2023. "Sharing Is Caring: An Economic Analysis of Consumer Engagement in an Electric Vehicle Sharing Service," Sustainability, MDPI, vol. 15(6), pages 1-15, March.

    More about this item

    Keywords

    road congestion; gps; navigation;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • N74 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Europe: 1913-

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ipt:iptwpa:jrc69961. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    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.