IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v96y2023i6d10.1140_epjb_s10051-023-00537-8.html
   My bibliography  Save this article

Traffic fuel consumption evaluation of the on-ramp with acceleration lane based on cellular automata

Author

Listed:
  • Xue Wang

    (Shanghai University of Finance and Economics)

  • Yu Xue

    (Guangxi University)

  • Suwei Feng

    (Shanghai University of Finance and Economics)

Abstract

Based on Nagel–Schreckenberg (NaSch) traffic flow model, a novel fuel consumption model of on-ramp with acceleration lane under open boundary condition is proposed. Phase diagram is determined by analysis of spatial–temporal patterns. The phase diagram is divided into free flow on the main upstream and the on-ramp; free flow on the main upstream and low-speed motion on the on-ramp; low-speed motion on the main upstream and free flow on the on-ramp; low-speed motion on the main upstream, and global congestion on the on-ramp. The difference in the appearance of phase diagram is found to be related to the length of acceleration lane. The longer of acceleration lane, the more prone to low-speed motion on the main upstream. The numerical computations for fuel consumption in the injected probability of the main road, the injected probability of the on-ramp, and the length of acceleration lane are carried out. Fuel consumption is explained by the traffic flow, average velocity, and lane-change frequency of the accelerated lane. The injected probability of the main road and the on-ramp has a great impact on fuel consumption in free flow. The highest fuel consumption occurs during low-speed motion, whereas the lowest fuel consumption is observed during global congestion. Moreover, the results indicate that fuel consumption on the main road increases potentially by curtailing the length of acceleration lane in low-speed motion of the main road. Graphical Abstract

Suggested Citation

  • Xue Wang & Yu Xue & Suwei Feng, 2023. "Traffic fuel consumption evaluation of the on-ramp with acceleration lane based on cellular automata," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(6), pages 1-11, June.
    • Handle: RePEc:spr:eurphb:v:96:y:2023:i:6:d:10.1140_epjb_s10051-023-00537-8
    DOI: 10.1140/epjb/s10051-023-00537-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1140/epjb/s10051-023-00537-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1140/epjb/s10051-023-00537-8?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. Tang, Tie-Qiao & Li, Jin-Gang & Yang, Shi-Chun & Shang, Hua-Yan, 2015. "Effects of on-ramp on the fuel consumption of the vehicles on the main road under car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 293-300.
    2. Wang, Xue & Xue, Yu & Cen, Bing-ling & Zhang, Peng & He, Hong-di, 2020. "Study on pollutant emissions of mixed traffic flow in cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    3. Pan, Wei & Xue, Yu & He, Hong-Di & Lu, Wei-Zhen, 2018. "Impacts of traffic congestion on fuel rate, dissipation and particle emission in a single lane based on Nasch Model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 154-162.
    4. Chowdhury, Debashish & Wolf, Dietrich E. & Schreckenberg, Michael, 1997. "Particle hopping models for two-lane traffic with two kinds of vehicles: Effects of lane-changing rules," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 235(3), pages 417-439.
    5. Zeng, Junwei & Qian, Yongsheng & Lv, Ziwen & Yin, Fan & Zhu, Leipeng & Zhang, Yongzhi & Xu, Dejie, 2021. "Expressway traffic flow under the combined bottleneck of accident and on-ramp in framework of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    6. Qiao, Yan-feng & Xue, Yu & Wang, Xue & Cen, Bing-ling & Wang, Yi & Pan, Wei & Zhang, Yan-xin, 2021. "Investigation of PM emissions in cellular automata model with slow-to-start effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    7. Rickert, M. & Nagel, K. & Schreckenberg, M. & Latour, A., 1996. "Two lane traffic simulations using cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 231(4), pages 534-550.
    8. Xue, Yu & Kang, San-Jun & Lu, Wei-Zhen & He, Hong-Di, 2014. "Energy dissipation of traffic flow at an on-ramp," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 172-178.
    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. Shang, Xue-Cheng & Li, Xin-Gang & Xie, Dong-Fan & Jia, Bin & Jiang, Rui & Liu, Feng, 2022. "A data-driven two-lane traffic flow model based on cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    2. Qiao, Yanfeng & Xue, Yu & Cen, Bingling & Zhang, Kun & Chen, Dong & Pan, Wei, 2024. "Study on particulate emission in two-lane mixed traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    3. Yanxin Zhang & Yu Xue & Yanfeng Qiao & Bingling Cen, 2022. "Analytical Solution of the Mixed Traffic Flow Cellular Automaton FI Model with the Next-Nearest-Neighbor Interaction," Sustainability, MDPI, vol. 14(12), pages 1-12, June.
    4. Shang, Xue-Cheng & Li, Xin-Gang & Xie, Dong-Fan & Jia, Bin & Jiang, Rui, 2020. "Two-lane traffic flow model based on regular hexagonal cells with realistic lane changing behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    5. Lv, Wei & Song, Wei-guo & Fang, Zhi-ming & Ma, Jian, 2013. "Modelling of lane-changing behaviour integrating with merging effect before a city road bottleneck," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5143-5153.
    6. Marzoug, R. & Lakouari, N. & Ez-Zahraouy, H. & Castillo Téllez, B. & Castillo Téllez, M. & Cisneros Villalobos, L., 2022. "Modeling and simulation of car accidents at a signalized intersection using cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    7. Li, Huamin & Zhang, Shun, 2022. "Lane change behavior with uncertainty and fuzziness for human driving vehicles and its simulation in mixed traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    8. Li, Xin & Li, Xingang & Xiao, Yao & Jia, Bin, 2016. "Modeling mechanical restriction differences between car and heavy truck in two-lane cellular automata traffic flow model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 49-62.
    9. Rachid Marzoug & Noureddine Lakouari & José Roberto Pérez Cruz & Carlos Jesahel Vega Gómez, 2022. "Cellular Automata Model for Analysis and Optimization of Traffic Emission at Signalized Intersection," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    10. Li, Zhen-Hua & Zheng, Shi-Teng & Jiang, Rui & Tian, Jun-Fang & Zhu, Kai-Xuan & Di Pace, Roberta, 2022. "Empirical and simulation study on traffic oscillation characteristic using floating car data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    11. Mu, Rui & Yamamoto, Toshiyuki, 2019. "Analysis of traffic flow with micro-cars with respect to safety and environmental impact," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 217-241.
    12. Wei Pan & Xiaolu Chen & Xiaojun Duan, 2022. "Energy dissipation and particulate emission at traffic bottleneck based on NaSch model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(7), pages 1-13, July.
    13. Qiao, Yan-feng & Xue, Yu & Wang, Xue & Cen, Bing-ling & Wang, Yi & Pan, Wei & Zhang, Yan-xin, 2021. "Investigation of PM emissions in cellular automata model with slow-to-start effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    14. Ma, Changxi & Li, Dong, 2023. "A review of vehicle lane change research," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    15. Lv, Wei & Song, Wei-guo & Liu, Xiao-dong & Ma, Jian, 2013. "A microscopic lane changing process model for multilane traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1142-1152.
    16. Kuang, Xianyan & Chen, Ziru, 2022. "Trajectory research of Cellular Automaton Model based on real driving behaviour," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).
    17. Meng, Jian-ping & Dai, Shi-qiang & Dong, Li-yun & Zhang, Jie-fang, 2007. "Cellular automaton model for mixed traffic flow with motorcycles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 470-480.
    18. Yang, Liu & Zheng, Jianlong & Cheng, Yang & Ran, Bin, 2019. "An asymmetric cellular automata model for heterogeneous traffic flow on freeways with a climbing lane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    19. Wang, Jinghui & Lv, Wei & Jiang, Yajuan & Qin, Shuangshuang & Li, Jiawei, 2021. "A multi-agent based cellular automata model for intersection traffic control simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    20. Dingxin Wu & Wei Deng & Yan Song & Jian Wang & Dewen Kong, 2017. "Evaluating Operational Effects of Bus Lane with Intermittent Priority under Connected Vehicle Environments," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-13, April.

    More about this item

    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:spr:eurphb:v:96:y:2023:i:6:d:10.1140_epjb_s10051-023-00537-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.