IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i16p4179-d1461419.html
   My bibliography  Save this article

The Influence of Stops on the Selected Route of the City ITS on the Energy Efficiency of the Public Bus

Author

Listed:
  • Miroslaw Smieszek

    (Department of Technical Systems Engineering, Rzeszow University of Technology, al. Powstancow Warszawy 8, 35-959 Rzeszow, Poland)

  • Vasyl Mateichyk

    (Department of Technical Systems Engineering, Rzeszow University of Technology, al. Powstancow Warszawy 8, 35-959 Rzeszow, Poland)

  • Jakub Mosciszewski

    (Department of Technical Systems Engineering, Rzeszow University of Technology, al. Powstancow Warszawy 8, 35-959 Rzeszow, Poland)

Abstract

Public transport is an important part of sustainable economic development, sustainable cities, and communities. Reducing energy consumption in public transport can be achieved through better organisation of the transport system, changes in infrastructure, the use of new energy-efficient means of transport, and other ways to achieve intelligent mobility. The operation of a city bus involves frequent stops. These stops are due to the need to exchange passengers at bus stops and traffic conditions. Each stop and the subsequent acceleration process require additional energy consumption. In this paper, an analysis of bus operation within the Rzeszów ITS on a selected route is carried out to determine the energy consumption in these special modes. First, the number and duration of stops were determined based on data recorded during the bus operation using the tracker. Then, taking into account the idle fuel consumption and the energy consumption required to reach a set speed, the total energy consumption associated with the stops was determined. The results obtained on the selected route indicate a significant share of energy associated with stops at bus stops and outside bus stops in total fuel consumption. These shares are about 26.2% and about 42.5%, respectively. The opportunity to improve the energy efficiency of the city bus on the route due to the reduction of stops at bus stops by introducing on-demand stops as one of the elements of ITS has been evaluated. The number of stops related to traffic conditions can be reduced by further improving traffic management and measures to modify urban infrastructure.

Suggested Citation

  • Miroslaw Smieszek & Vasyl Mateichyk & Jakub Mosciszewski, 2024. "The Influence of Stops on the Selected Route of the City ITS on the Energy Efficiency of the Public Bus," Energies, MDPI, vol. 17(16), pages 1-26, August.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:4179-:d:1461419
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/16/4179/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/16/4179/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Jinghui & Rakha, Hesham A., 2016. "Fuel consumption model for conventional diesel buses," Applied Energy, Elsevier, vol. 170(C), pages 394-402.
    2. Rosero, Fredy & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2020. "Real-world fuel efficiency and emissions from an urban diesel bus engine under transient operating conditions," Applied Energy, Elsevier, vol. 261(C).
    3. Xiuzheng Zheng & Liguo Zhang, 2015. "Ecodriving for Reduction of Bus Transit Emission with Vehicle’s Hybrid Dynamic Model," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-8, October.
    4. Rosero, Fredy & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2021. "Effects of passenger load, road grade, and congestion level on real-world fuel consumption and emissions from compressed natural gas and diesel urban buses," Applied Energy, Elsevier, vol. 282(PB).
    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. Lv, Zongyan & Wu, Lin & Yang, Zhiwen & Yang, Lei & Fang, Tiange & Mao, Hongjun, 2023. "Comparison on real-world driving emission characteristics of CNG, LNG and Hybrid-CNG buses," Energy, Elsevier, vol. 262(PB).
    2. Fredy Rosero & Carlos Xavier Rosero & Carlos Segovia, 2024. "Towards Simpler Approaches for Assessing Fuel Efficiency and CO 2 Emissions of Vehicle Engines in Real Traffic Conditions Using On-Board Diagnostic Data," Energies, MDPI, vol. 17(19), pages 1-18, September.
    3. Haoming Gu & Shenghua Liu & Yanju Wei & Xibin Liu & Xiaodong Zhu & Zheyang Li, 2022. "Effects of Polyoxymethylene Dimethyl Ethers Addition in Diesel on Real Driving Emission and Fuel Consumption Characteristics of a CHINA VI Heavy-Duty Vehicle," Energies, MDPI, vol. 15(7), pages 1-20, March.
    4. Ma, Xiaolei & Miao, Ran & Wu, Xinkai & Liu, Xianglong, 2021. "Examining influential factors on the energy consumption of electric and diesel buses: A data-driven analysis of large-scale public transit network in Beijing," Energy, Elsevier, vol. 216(C).
    5. Wang, An & Tu, Ran & Xu, Junshi & Zhai, Zhiqiang & Hatzopoulou, Marianne, 2022. "A novel modal emission modelling approach and its application with on-road emission measurements," Applied Energy, Elsevier, vol. 306(PA).
    6. Piotr Pryciński & Piotr Pielecha & Jarosław Korzeb & Jacek Pielecha & Mariusz Kostrzewski & Ahmed Eliwa, 2024. "Air Pollutant Emissions of Passenger Cars in Poland in Terms of Their Environmental Impact and Type of Energy Consumption," Energies, MDPI, vol. 17(21), pages 1-21, October.
    7. Sofia Dahlgren & Jonas Ammenberg, 2021. "Sustainability Assessment of Public Transport, Part II—Applying a Multi-Criteria Assessment Method to Compare Different Bus Technologies," Sustainability, MDPI, vol. 13(3), pages 1-30, January.
    8. Jarosław Ziółkowski & Mateusz Oszczypała & Jerzy Małachowski & Joanna Szkutnik-Rogoż, 2021. "Use of Artificial Neural Networks to Predict Fuel Consumption on the Basis of Technical Parameters of Vehicles," Energies, MDPI, vol. 14(9), pages 1-23, May.
    9. Song, Jingeun & Cha, Junepyo, 2022. "Development of prediction methodology for CO2 emissions and fuel economy of light duty vehicle," Energy, Elsevier, vol. 244(PB).
    10. Yurii Gutarevych & Vasyl Mateichyk & Jonas Matijošius & Alfredas Rimkus & Igor Gritsuk & Oleksander Syrota & Yevheniy Shuba, 2020. "Improving Fuel Economy of Spark Ignition Engines Applying the Combined Method of Power Regulation," Energies, MDPI, vol. 13(5), pages 1-19, March.
    11. Mera, Zamir & Varella, Roberto & Baptista, Patrícia & Duarte, Gonçalo & Rosero, Fredy, 2022. "Including engine data for energy and pollutants assessment into the vehicle specific power methodology," Applied Energy, Elsevier, vol. 311(C).
    12. Maren Schnieder & Chris Hinde & Andrew West, 2022. "Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
    13. Duan, Xiongbo & Feng, Lining & Liu, Haibo & Jiang, Pengfei & Chen, Chao & Sun, Zhiqiang, 2023. "Experimental investigation on exhaust emissions of a heavy-duty vehicle powered by a methanol-fuelled spark ignition engine under world Harmonized Transient Cycle and actual on-road driving conditions," Energy, Elsevier, vol. 282(C).
    14. Piotr Pryciński & Róża Wawryszczuk & Jarosław Korzeb & Piotr Pielecha, 2023. "Indicator Method for Determining the Emissivity of Road Transport Means from the Point of Supplied Energy," Energies, MDPI, vol. 16(12), pages 1-22, June.
    15. Purnell, K. & Bruce, A.G. & MacGill, I., 2022. "Impacts of electrifying public transit on the electricity grid, from regional to state level analysis," Applied Energy, Elsevier, vol. 307(C).
    16. Feng Mao & Zhiheng Li & Kai Zhang, 2021. "A Comparison of Carbon Dioxide Emissions between Battery Electric Buses and Conventional Diesel Buses," Sustainability, MDPI, vol. 13(9), pages 1-15, May.
    17. Xiao Liang & Huifang Song & Gefan Wu & Yongjie Guo & Shu Zhang, 2024. "Complex Traffic Flow Model for Analysis and Optimization of Fuel Consumption and Emissions at Large Roundabouts," Sustainability, MDPI, vol. 16(21), pages 1-26, October.
    18. Michel Noussan, 2023. "The Use of Biomethane in Internal Combustion Engines for Public Transport Decarbonization: A Case Study," Energies, MDPI, vol. 16(24), pages 1-18, December.
    19. Cui, Yuepeng & Xu, Hao & Zou, Fumin & Chen, Zhihui & Gong, Kuangmin, 2021. "Optimization based method to develop representative driving cycle for real-world fuel consumption estimation," Energy, Elsevier, vol. 235(C).
    20. Li, Yangyang & Duan, Xiongbo & Fu, Jianqin & Liu, Jingping & Wang, Shuqian & Dong, Hao & Xie, Yunkun, 2019. "Development of a method for on-board measurement of instant engine torque and fuel consumption rate based on direct signal measurement and RGF modelling under vehicle transient operating conditions," Energy, Elsevier, vol. 189(C).

    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:17:y:2024:i:16:p:4179-:d:1461419. 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.