IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i5p2028-d329308.html
   My bibliography  Save this article

A Model for Estimating Passenger-Car Carbon Emissions that Accounts for Uphill, Downhill and Flat Roads

Author

Listed:
  • Jinliang Xu

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Yaping Dong

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Menghua Yan

    (School of Highway, Chang’an University, Xi’an 710064, China)

Abstract

The geometric longitudinal slope line of a given road significantly effects the carbon emissions of vehicles traversing it. This study was conducted to explore the carbon emission rules of passenger cars on various highway slopes. The law of conservation of mechanical energy, the first law of thermodynamics and the vehicle longitudinal dynamics theory were utilized to determine the influence of slope design indicators on fuel consumption. The energy conversion, fuel consumption, and carbon emission models of passenger cars on a flat straight road, uphill road, and downhill road sections were derived accordingly. Two types of passenger cars were selected for analysis. A field test was carried out to verify the proposed model where the vehicle maintained a cruise speed on flat straight road, uphill road and downhill road with equal gradient and mileage, and continuous longitudinal slope to gather fuel consumption data. The proposed model showed strong accuracy and a maximum error of 9.97%. The main factor affecting the vehicle’s carbon emissions on the continuous longitudinal slope was found to be the average gradient. For a round-trip longitudinal slope with a small gradient, the main factor affecting the vehicle’s carbon emissions is speed: higher speed results in higher carbon emissions. The results of this study are likely to provide the data for support and a workable reference for the low-carbon highway design and operation.

Suggested Citation

  • Jinliang Xu & Yaping Dong & Menghua Yan, 2020. "A Model for Estimating Passenger-Car Carbon Emissions that Accounts for Uphill, Downhill and Flat Roads," Sustainability, MDPI, vol. 12(5), pages 1-21, March.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:2028-:d:329308
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/5/2028/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/5/2028/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barth, Matthew & Younglove, Theodore & Scora, George, 2005. "Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt67f0v3zf, Institute of Transportation Studies, UC Berkeley.
    2. Ruzzenenti, F. & Basosi, R., 2009. "Evaluation of the energy efficiency evolution in the European road freight transport sector," Energy Policy, Elsevier, vol. 37(10), pages 4079-4085, October.
    3. Yaping Dong & Jinliang Xu & Menghui Li & Xingli Jia & Chao Sun, 2019. "Association of Carbon Emissions and Circular Curve in Northwestern China," Sustainability, MDPI, vol. 11(4), pages 1-15, February.
    4. Yaping Dong & Jinliang Xu & Xingliang Liu & Chao Gao & Han Ru & Zhihao Duan, 2019. "Carbon Emissions and Expressway Traffic Flow Patterns in China," Sustainability, MDPI, vol. 11(10), pages 1-12, May.
    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. Xingli Jia & Xuefang Qin & Wuxiao Zhou & Xingpeng Chen & Shuangqing Li, 2022. "Influences of Crest Vertical Curve Curvature on Exhaust Emissions of Heavy-Duty Diesel Trucks at Grade Change Point Section in Highway," Energies, MDPI, vol. 15(4), pages 1-14, February.

    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. Yaping Dong & Jinliang Xu & Chenwei Gu, 2020. "Modelling carbon emissions of diesel trucks on longitudinal slope sections in China," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-17, June.
    2. Fenling Feng & Qingya Zhang, 2015. "Multimodal Transport System Coevolution Model Based on Synergetic Theory," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-10, March.
    3. Pérez-Martínez, P.J. & Vassallo-Magro, J.M., 2013. "Changes in the external costs of freight surface transport In Spain," Research in Transportation Economics, Elsevier, vol. 42(1), pages 61-76.
    4. Jin Li & Feng Wang & Yu He, 2020. "Electric Vehicle Routing Problem with Battery Swapping Considering Energy Consumption and Carbon Emissions," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    5. Bray, Garrett & Cebon, David, 2022. "Operational speed strategy opportunities for autonomous trucking on highways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 75-94.
    6. Jieyu Fan & Arsalan Najafi & Jokhio Sarang & Tian Li, 2023. "Analyzing and Optimizing the Emission Impact of Intersection Signal Control in Mixed Traffic," Sustainability, MDPI, vol. 15(22), pages 1-14, November.
    7. Chiarucci, Riccardo & Ruzzenenti, Franco & Loffredo, Maria I., 2014. "Detecting spatial homogeneity in the World Trade Web with Detrended Fluctuation Analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 1-7.
    8. Li, Wenjie & Yang, Lixing & Wang, Li & Zhou, Xuesong & Liu, Ronghui & Gao, Ziyou, 2017. "Eco-reliable path finding in time-variant and stochastic networks," Energy, Elsevier, vol. 121(C), pages 372-387.
    9. Dukkanci, Okan & Karsu, Özlem & Kara, Bahar Y., 2022. "Planning sustainable routes: Economic, environmental and welfare concerns," European Journal of Operational Research, Elsevier, vol. 301(1), pages 110-123.
    10. Hongxing Zhao & Ruichun He & Xiaoyan Jia, 2019. "Estimation and Analysis of Vehicle Exhaust Emissions at Signalized Intersections Using a Car-Following Model," Sustainability, MDPI, vol. 11(14), pages 1-25, July.
    11. Azra Ghobadi & Mohammad Fallah & Reza Tavakkoli-Moghaddam & Hamed Kazemipoor, 2022. "A Fuzzy Two-Echelon Model to Optimize Energy Consumption in an Urban Logistics Network with Electric Vehicles," Sustainability, MDPI, vol. 14(21), pages 1-31, October.
    12. Wu, Weitiao & Li, Yu, 2024. "Pareto truck fleet sizing for bike relocation with stochastic demand: Risk-averse multi-stage approximate stochastic programming," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    13. Anna Franceschetti & Dorothée Honhon & Gilbert Laporte & Tom Van Woensel, 2018. "A Shortest-Path Algorithm for the Departure Time and Speed Optimization Problem," Transportation Science, INFORMS, vol. 52(4), pages 756-768, August.
    14. Bhadbhade, Navdeep & Yilmaz, Selin & Zuberi, Jibran S. & Eichhammer, Wolfgang & Patel, Martin K., 2020. "The evolution of energy efficiency in Switzerland in the period 2000–2016," Energy, Elsevier, vol. 191(C).
    15. Gómez, Antonio & Dopazo, César & Fueyo, Norberto, 2014. "The causes of the high energy intensity of the Kazakh economy: A characterization of its energy system," Energy, Elsevier, vol. 71(C), pages 556-568.
    16. Wu, Weitiao & Ma, Jian & Liu, Ronghui & Jin, Wenzhou, 2022. "Multi-class hazmat distribution network design with inventory and superimposed risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    17. 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.
    18. Jonker, J.G.G. & Junginger, H.M. & Verstegen, J.A. & Lin, T. & Rodríguez, L.F. & Ting, K.C. & Faaij, A.P.C. & van der Hilst, F., 2016. "Supply chain optimization of sugarcane first generation and eucalyptus second generation ethanol production in Brazil," Applied Energy, Elsevier, vol. 173(C), pages 494-510.
    19. Angelo Maiorino & Adrián Mota-Babiloni & Fabio Petruzziello & Manuel Gesù Del Duca & Andrea Ariano & Ciro Aprea, 2022. "A Comprehensive Energy Model for an Optimal Design of a Hybrid Refrigerated Van," Energies, MDPI, vol. 15(13), pages 1-23, July.
    20. Ruzzenenti, Franco & Basosi, Riccardo, 2017. "Modelling the rebound effect with network theory: An insight into the European freight transport sector," Energy, Elsevier, vol. 118(C), pages 272-283.

    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:jsusta:v:12:y:2020:i:5:p:2028-:d:329308. 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.