IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i2p752-d1029604.html
   My bibliography  Save this article

Analysis and Evaluation of Methods Used in Measuring the Intensity of Bicycle Traffic

Author

Listed:
  • Piotr Kędziorek

    (Heller Consult, Chałubińskiego 8, 00-613 Warsaw, Poland)

  • Zbigniew Kasprzyk

    (Division of Air Transport Engineering and Teleinformatics, Faculty of Transport, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland)

  • Mariusz Rychlicki

    (Division of Air Transport Engineering and Teleinformatics, Faculty of Transport, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland)

  • Adam Rosiński

    (Division of Electronic Systems Exploitations, Institute of Electronic Systems, Faculty of Electronics, Military University of Technology, 2 Gen. S. Kaliski St., 00-908 Warsaw, Poland)

Abstract

The work presents the methods of collecting and processing data with the use of devices used in individual measurement methods. Based on the collected video materials, the number of vehicles was determined, which at both measuring points actually exceeded each of the tested cross-sections of the bicycle path. More precise determination of the means of transport was divided into three categories: bicycles, electric scooters, and PT (personal transporters). The data collected with the use of each of the devices was properly processed and aggregated into a form that allows for their mutual comparison (they can be used to manage the energy of electric vehicles). Their greatest advantages and disadvantages were indicated, and external factors that had an impact on the size of the measurement error were identified. The cost of carrying out the traffic volume survey was also assessed, broken down into the measurement methods used. The purpose of this paper is to analyse and evaluate the methods used to measure bicycle traffic volume. Four different measurement methods were used to perform the practical part, which included such devices as a video recorder, microwave radar, perpendicular radar, and a meter connected to an induction loop embedded in the asphalt. The results made it possible to select a rational method for measuring the volume of bicycle traffic. The measurements carried out allow optimization of bicycle routes, especially for electric bicycles. The results indicate the method of physical counting of vehicles from video footage, thanks to which it is possible to achieve a level of measurement accuracy equal to 100%.

Suggested Citation

  • Piotr Kędziorek & Zbigniew Kasprzyk & Mariusz Rychlicki & Adam Rosiński, 2023. "Analysis and Evaluation of Methods Used in Measuring the Intensity of Bicycle Traffic," Energies, MDPI, vol. 16(2), pages 1-18, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:752-:d:1029604
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/2/752/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/2/752/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacek Oskarbski & Krystian Birr & Karol Żarski, 2021. "Bicycle Traffic Model for Sustainable Urban Mobility Planning," Energies, MDPI, vol. 14(18), pages 1-36, September.
    2. Hanna Vasiutina & Andrzej Szarata & Stanisław Rybicki, 2021. "Evaluating the Environmental Impact of Using Cargo Bikes in Cities: A Comprehensive Review of Existing Approaches," Energies, MDPI, vol. 14(20), pages 1-19, October.
    3. Scott, Darren M. & Lu, Wei & Brown, Matthew J., 2021. "Route choice of bike share users: Leveraging GPS data to derive choice sets," Journal of Transport Geography, Elsevier, vol. 90(C).
    4. Keyju Lee & Junjae Chae & Jinwoo Kim, 2019. "A Courier Service with Electric Bicycles in an Urban Area: The Case in Seoul," Sustainability, MDPI, vol. 11(5), pages 1-19, February.
    5. Katarzyna Turoń & Andrzej Kubik & Feng Chen, 2021. "Electric Shared Mobility Services during the Pandemic: Modeling Aspects of Transportation," Energies, MDPI, vol. 14(9), pages 1-19, May.
    6. Changxi Ma & Dong Yang & Jibiao Zhou & Zhongxiang Feng & Quan Yuan, 2019. "Risk Riding Behaviors of Urban E-Bikes: A Literature Review," IJERPH, MDPI, vol. 16(13), pages 1-18, June.
    7. Maria Cieśla & Aleksander Sobota & Marianna Jacyna, 2020. "Multi-Criteria Decision Making Process in Metropolitan Transport Means Selection Based on the Sharing Mobility Idea," Sustainability, MDPI, vol. 12(17), pages 1-21, September.
    8. Tomasz Matyja & Andrzej Kubik & Zbigniew Stanik, 2022. "Possibility to Use Professional Bicycle Computers for the Scientific Evaluation of Electric Bikes: Velocity, Cadence and Power Data," Energies, MDPI, vol. 15(3), pages 1-16, February.
    9. Marek Stawowy & Stanisław Duer & Jacek Paś & Wojciech Wawrzyński, 2021. "Determining Information Quality in ICT Systems," Energies, MDPI, vol. 14(17), pages 1-18, September.
    10. Karolina Krzykowska-Piotrowska & Ewa Dudek & Mirosław Siergiejczyk & Adam Rosiński & Wojciech Wawrzyński, 2021. "Is Secure Communication in the R2I (Robot-to-Infrastructure) Model Possible? Identification of Threats," Energies, MDPI, vol. 14(15), pages 1-23, August.
    11. Knorr, Florian & Schreckenberg, Michael, 2012. "Influence of inter-vehicle communication on peak hour traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(6), pages 2225-2231.
    12. Georgios Grigoropoulos & Seyed Abdollah Hosseini & Andreas Keler & Heather Kaths & Matthias Spangler & Fritz Busch & Klaus Bogenberger, 2021. "Traffic Simulation Analysis of Bicycle Highways in Urban Areas," Sustainability, MDPI, vol. 13(3), pages 1-25, January.
    13. Tomasz Bieliński & Łukasz Dopierała & Maciej Tarkowski & Agnieszka Ważna, 2020. "Lessons from Implementing a Metropolitan Electric Bike Sharing System," Energies, MDPI, vol. 13(23), pages 1-21, November.
    14. Shoki Kosai & Muku Yuasa & Eiji Yamasue, 2020. "Chronological Transition of Relationship between Intracity Lifecycle Transport Energy Efficiency and Population Density," Energies, MDPI, vol. 13(8), pages 1-15, April.
    15. Sylwia Agata Bęczkowska & Iwona Grabarek & Zuzanna Zysk & Katarzyna Gosek-Ferenc, 2022. "Physical Activity and Ecological Means of Transport—Functional Assessment Methodology," IJERPH, MDPI, vol. 19(15), pages 1-15, July.
    16. Hsiao-Hsien Lin & Chih-Chien Shen & I-Cheng Hsu & Pei-Yi Wu, 2021. "Can Electric Bicycles Enhance Leisure and Tourism Activities and City Happiness?," Energies, MDPI, vol. 14(23), pages 1-27, December.
    17. Tomasz Matyja & Andrzej Kubik & Zbigniew Stanik, 2022. "Possibility to Use Professional Bicycle Computers for the Scientific Evaluation of Electric Bikes: Trajectory, Distance, and Slope Data," Energies, MDPI, vol. 15(3), pages 1-18, January.
    18. Mirosław Siergiejczyk & Zbigniew Kasprzyk & Mariusz Rychlicki & Piotr Szmigiel, 2022. "Analysis and Assessment of Railway CCTV System Operating Reliability," Energies, MDPI, vol. 15(5), pages 1-16, February.
    19. Karolina Krzykowska-Piotrowska & Mirosław Siergiejczyk, 2022. "On the Navigation, Positioning and Wireless Communication of the Companion Robot in Outdoor Conditions," Energies, MDPI, vol. 15(14), pages 1-4, July.
    20. Ziheng Niu & Li Chai, 2022. "Carbon Emission Reduction by Bicycle-Sharing in China," Energies, MDPI, vol. 15(14), pages 1-17, July.
    21. Michał Adam Kwiatkowski & Elżbieta Grzelak-Kostulska & Jadwiga Biegańska, 2021. "Could It Be a Bike for Everyone? The Electric Bicycle in Poland," Energies, MDPI, vol. 14(16), pages 1-19, August.
    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. Stanisław Duer & Krzysztof Rokosz & Konrad Zajkowski & Dariusz Bernatowicz & Arkadiusz Ostrowski & Marek Woźniak & Atif Iqbal, 2022. "Intelligent Systems Supporting the Use of Energy Devices and Other Complex Technical Objects: Modeling, Testing, and Analysis of Their Reliability in the Operating Process," Energies, MDPI, vol. 15(17), pages 1-6, September.
    2. Marek Stawowy & Adam Rosiński & Jacek Paś & Stanisław Duer & Marta Harničárová & Krzysztof Perlicki, 2023. "The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets," Energies, MDPI, vol. 16(12), pages 1-18, June.
    3. Tomasz Matyja & Andrzej Kubik & Zbigniew Stanik, 2022. "Possibility to Use Professional Bicycle Computers for the Scientific Evaluation of Electric Bikes: Velocity, Cadence and Power Data," Energies, MDPI, vol. 15(3), pages 1-16, February.
    4. Jenkins, Michael & Lustosa, Lucio & Chia, Victoria & Wildish, Sarah & Tan, Maria & Hoornweg, Daniel & Lloyd, Meghann & Dogra, Shilpa, 2022. "What do we know about pedal assist E-bikes? A scoping review to inform future directions," Transport Policy, Elsevier, vol. 128(C), pages 25-37.
    5. Bretones, Alexandra & Marquet, Oriol, 2022. "Sociopsychological factors associated with the adoption and usage of electric micromobility. A literature review," Transport Policy, Elsevier, vol. 127(C), pages 230-249.
    6. Katarzyna Turoń & Andrzej Kubik & Feng Chen, 2022. "What Car for Car-Sharing? Conventional, Electric, Hybrid or Hydrogen Fleet? Analysis of the Vehicle Selection Criteria for Car-Sharing Systems," Energies, MDPI, vol. 15(12), pages 1-14, June.
    7. Andrzej Kubik, 2022. "The Energy Consumption of Electric Scooters Used in the Polish Shared Mobility Market," Energies, MDPI, vol. 15(21), pages 1-15, November.
    8. Elżbieta Macioszek & Anna Granà & Paulo Fernandes & Margarida C. Coelho, 2022. "New Perspectives and Challenges in Traffic and Transportation Engineering Supporting Energy Saving in Smart Cities—A Multidisciplinary Approach to a Global Problem," Energies, MDPI, vol. 15(12), pages 1-8, June.
    9. Hanna Vasiutina & Vitalii Naumov & Andrzej Szarata & Stanisław Rybicki, 2022. "Estimating the Emissions Reduction Due to the Use of Cargo Bikes: Case Studies for the Selected European Cities," Energies, MDPI, vol. 15(14), pages 1-17, July.
    10. Rafidah Md Noor & Nadia Bella Gustiani Rasyidi & Tarak Nandy & Raenu Kolandaisamy, 2020. "Campus Shuttle Bus Route Optimization Using Machine Learning Predictive Analysis: A Case Study," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    11. Alexandra König & Laura Gebhardt & Kerstin Stark & Julia Schuppan, 2022. "A Multi-Perspective Assessment of the Introduction of E-Scooter Sharing in Germany," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    12. Hong Chen & Wenzhe Hu, 2020. "Determining Whether Trade Can Affect Regional Environmental Sustainability from the Perspective of Environmental Pollution," Sustainability, MDPI, vol. 12(5), pages 1-15, February.
    13. Jorge Parraga-Alava & Roberth Alcivar-Cevallos & Jéssica Morales Carrillo & Magdalena Castro & Shabely Avellán & Aaron Loor & Fernando Mendoza, 2021. "LeLePhid: An Image Dataset for Aphid Detection and Infestation Severity on Lemon Leaves," Data, MDPI, vol. 6(5), pages 1-7, May.
    14. Baihui Jin & Wei Li, 2023. "External Factors Impacting Residents’ Participation in Waste Sorting Using NCA and fsQCA Methods on Pilot Cities in China," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
    15. Narayanan, Santhanakrishnan & Antoniou, Constantinos, 2022. "Electric cargo cycles - A comprehensive review," Transport Policy, Elsevier, vol. 116(C), pages 278-303.
    16. Marek Bauer & Piotr Kisielewski, 2021. "The Influence of the Duration of Journey Stages on Transport Mode Choice: A Case Study in the City of Tarnow," Sustainability, MDPI, vol. 13(11), pages 1-15, May.
    17. Meister, Adrian & Felder, Matteo & Schmid, Basil & Axhausen, Kay W., 2023. "Route choice modeling for cyclists on urban networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    18. Mariusz Izdebski & Marianna Jacyna, 2021. "An Efficient Hybrid Algorithm for Energy Expenditure Estimation for Electric Vehicles in Urban Service Enterprises," Energies, MDPI, vol. 14(7), pages 1-23, April.
    19. Filip Filipović & Dušan Mladenović & Krsto Lipovac & Dillip Kumar Das & Bojana Todosijević, 2022. "Determining Risk Factors That Influence Cycling Crash Severity, for the Purpose of Setting Sustainable Cycling Mobility," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    20. Luca Ciacci & Fabrizio Passarini, 2020. "Life Cycle Assessment (LCA) of Environmental and Energy Systems," Energies, MDPI, vol. 13(22), pages 1-8, November.

    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:gam:jeners:v:16:y:2023:i:2:p:752-:d:1029604. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.