IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v155y2022icp464-483.html
   My bibliography  Save this article

Traffic flow at signalized intersections with large volumes of bicycle traffic

Author

Listed:
  • Grigoropoulos, Georgios
  • Leonhardt, Axel
  • Kaths, Heather
  • Junghans, Marek
  • Baier, Michael M.
  • Busch, Fritz

Abstract

The popularity of utilitarian bicycling is increasing in many urban areas. As a result, growing volumes of bicycle traffic on road networks have significant impacts on traffic flow and the capacity of vehicular traffic, particularly at intersections. The goal of this paper is to quantify the impact of large volumes of bicycle traffic on the capacity of signalized intersections concerning vehicular streams crossing the intersection, turning right, and turning left. Empirical studies are conducted to gain insight into the speed, acceleration, queue density, queue discharge, and conflict zone occupancy time of bicycle traffic. Data were collected at sites with varying infrastructure designs and bicycle traffic volumes. The results of the empirical studies are used to assess the effects of bicycle infrastructure on traffic efficiency and build, calibrate, and validate microscopic traffic simulation models. The bicycle traffic volume is incrementally increased in the simulation models to supplement the data from the empirical studies. Based on the empirical findings and simulation results, the average queue discharge time per bicyclist based on the facility width is derived and two factors for the reduction in the capacity of vehicular traffic turning left and turning right based on the actual green time ratio and the volume of crossing bicycle traffic are proposed. If a bike box is present on an intersection approach, findings show that crossing bicycle traffic has a negligible effect on the capacity of crossing vehicular traffic, which bicyclists turning left impede vehicular traffic.

Suggested Citation

  • Grigoropoulos, Georgios & Leonhardt, Axel & Kaths, Heather & Junghans, Marek & Baier, Michael M. & Busch, Fritz, 2022. "Traffic flow at signalized intersections with large volumes of bicycle traffic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 464-483.
  • Handle: RePEc:eee:transa:v:155:y:2022:i:c:p:464-483
    DOI: 10.1016/j.tra.2021.11.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856421003086
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2021.11.021?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. Parkin, John & Rotheram, Jonathon, 2010. "Design speeds and acceleration characteristics of bicycle traffic for use in planning, design and appraisal," Transport Policy, Elsevier, vol. 17(5), pages 335-341, September.
    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. Hou, Xianlei & Zhang, Rui & Yang, Minghui & Cheng, Shida, 2024. "Modeling the lane-changing behavior of non-motorized vehicles on road segments via social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).

    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. Stefan Flügel & Nina Hulleberg & Aslak Fyhri & Christian Weber & Gretar Ævarsson, 2019. "Empirical speed models for cycling in the Oslo road network," Transportation, Springer, vol. 46(4), pages 1395-1419, August.
    2. Lundberg, Benjamin & Weber, Joe, 2014. "Non-motorized transport and university populations: an analysis of connectivity and network perceptions," Journal of Transport Geography, Elsevier, vol. 39(C), pages 165-178.
    3. Alexander Bigazzi & Robin Lindsey, 2019. "A utility-based bicycle speed choice model with time and energy factors," Transportation, Springer, vol. 46(3), pages 995-1009, June.
    4. Frauke Behrendt & Sally Cairns & David Raffo & Ian Philips, 2021. "Impact of E-Bikes on Cycling in Hilly Areas: Participants’ Experience of Electrically-Assisted Cycling in a UK Study," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    5. Ray Pritchard, 2018. "Revealed Preference Methods for Studying Bicycle Route Choice—A Systematic Review," IJERPH, MDPI, vol. 15(3), pages 1-30, March.
    6. Erik Stigell & Peter Schantz, 2015. "Active Commuting Behaviors in a Nordic Metropolitan Setting in Relation to Modality, Gender, and Health Recommendations," IJERPH, MDPI, vol. 12(12), pages 1-23, December.
    7. Matteo della Mura & Serena Failla & Nicolò Gori & Alfonso Micucci & Filippo Paganelli, 2022. "E-Scooter Presence in Urban Areas: Are Consistent Rules, Paying Attention and Smooth Infrastructure Enough for Safety?," Sustainability, MDPI, vol. 14(21), pages 1-36, November.
    8. Petter Arnesen & Olav Kåre Malmin & Erlend Dahl, 2020. "A forward Markov model for predicting bicycle speed," Transportation, Springer, vol. 47(5), pages 2415-2437, October.
    9. Juan P. Romero & Jose L. Moura & Angel Ibeas & Borja Alonso, 2015. "A simulation tool for bicycle sharing systems in multimodal networks," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(6), pages 646-663, August.
    10. Zhang, Shuichao & Ren, Gang & Yang, Renfa, 2013. "Simulation model of speed–density characteristics for mixed bicycle flow—Comparison between cellular automata model and gas dynamics model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5110-5118.
    11. Khashayar Kazemzadeh & Aliaksei Laureshyn & Lena Winslott Hiselius & Enrico Ronchi, 2020. "Expanding the Scope of the Bicycle Level-of-Service Concept: A Review of the Literature," Sustainability, MDPI, vol. 12(7), pages 1-30, April.

    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:transa:v:155:y:2022:i:c:p:464-483. 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.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.