IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i9p3522-d1381109.html
   My bibliography  Save this article

A Multi-Objective Optimization Method for Single Intersection Signals Considering Low Emissions

Author

Listed:
  • Shan Wang

    (Intelligent Transport System (ITS) R & D Center, Shanghai Urban Construction Design and Research Institute (Group) Co., Ltd., Shanghai 200125, China)

  • Yu Zhao

    (Intelligent Transport System (ITS) R & D Center, Shanghai Urban Construction Design and Research Institute (Group) Co., Ltd., Shanghai 200125, China)

  • Shaoqi Zhang

    (China FAW Group Co., Ltd., Changchun 130011, China)

  • Dongbo Wang

    (Bureau of Transportation and Construction, TEDA Administrative Commission, Tianjin 300450, China)

  • Chao Wang

    (Bureau of Transportation and Construction, TEDA Administrative Commission, Tianjin 300450, China)

  • Bowen Gong

    (Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
    Jilin Engineering Research Center for Intelligent Transportation System, Changchun 130022, China)

Abstract

The exponential growth of urban centers has exacerbated the prevalence of traffic-related issues. This surge has amplified the conflict between the escalating need for travel among individuals and the constricted availability of road infrastructure. Consequently, the escalation of traffic accidents and the exacerbation of environmental pollution have emerged as increasingly pressing concerns. Urban road intersections, serving as pivotal junctures for vehicle convergence and dispersal, have remained a focal point for scholarly inquiry regarding enhanced operational efficacy and safety. Concurrently, vehicles navigating intersections are subject to external influences, such as pedestrian crossings and signal controls, causing frequent fluctuations in their operational dynamics. These fluctuations contribute to heightened exhaust emissions, exacerbating air pollution and posing health risks to pedestrians frequenting these intersections. A reasonable signal timing scheme can enable more vehicles to pass through the intersection safely and smoothly and reduce the pollutants generated by transportation. Therefore, optimizing signal timing schemes at intersections to alleviate traffic problems is a topic that needs to be studied urgently. In this paper, the emission model based on specific power is analyzed. Through an analysis of the correlation between specific power distribution intervals and the emission rates of individual pollutants, it has been observed that vehicle emission rates are at their lowest during idle speed, progressively increasing with rising vehicle speeds. Investigation into specific power distribution based on variables, such as vehicle type, frequency of stops, and varying delays, has led to the deduction that the peak specific power of vehicles at intersections consistently occurs within the (0, 1) interval. Furthermore, it has been established that high-saturation intersections exhibit higher peak specific power compared to low-saturation intersections.

Suggested Citation

  • Shan Wang & Yu Zhao & Shaoqi Zhang & Dongbo Wang & Chao Wang & Bowen Gong, 2024. "A Multi-Objective Optimization Method for Single Intersection Signals Considering Low Emissions," Sustainability, MDPI, vol. 16(9), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3522-:d:1381109
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/9/3522/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/9/3522/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pu Lyu & Yongjie Lin & Yuanqing Wang, 2019. "The impacts of household features on commuting carbon emissions: a case study of Xi’an, China," Transportation, Springer, vol. 46(3), pages 841-857, June.
    2. Costagliola, Maria Antonietta & Costabile, Marianeve & Prati, Maria Vittoria, 2018. "Impact of road grade on real driving emissions from two Euro 5 diesel vehicles," Applied Energy, Elsevier, vol. 231(C), pages 586-593.
    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. Barouch Giechaskiel & Dimitrios Komnos & Georgios Fontaras, 2021. "Impacts of Extreme Ambient Temperatures and Road Gradient on Energy Consumption and CO 2 Emissions of a Euro 6d-Temp Gasoline Vehicle," Energies, MDPI, vol. 14(19), pages 1-20, September.
    2. Karol Tucki & Remigiusz Mruk & Olga Orynycz & Andrzej Wasiak & Katarzyna Botwińska & Arkadiusz Gola, 2019. "Simulation of the Operation of a Spark Ignition Engine Fueled with Various Biofuels and Its Contribution to Technology Management," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    3. Pierre-Olivier Vandanjon & Emmanuel Vinot, 2020. "Slope Optimization (or “Sloop”): Customized Optimization for Road Longitudinal Profile Eco-Design," Energies, MDPI, vol. 13(24), pages 1-21, December.
    4. 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.
    5. Meng, Weilu & Yuan, Gecheng & Sun, Yongping, 2023. "Expansion of social networks and household carbon emissions: Evidence from household survey in China," Energy Policy, Elsevier, vol. 174(C).
    6. 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).
    7. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
    8. Barouch Giechaskiel & Victor Valverde & Anastasios Melas & Michaël Clairotte & Pierre Bonnel & Panagiota Dilara, 2024. "Comparison of the Real-Driving Emissions (RDE) of a Gasoline Direct Injection (GDI) Vehicle at Different Routes in Europe," Energies, MDPI, vol. 17(6), pages 1-19, March.
    9. Fan, Pengfei & Yin, Hang & Lu, Hongyu & Wu, Yizheng & Zhai, Zhiqiang & Yu, Lei & Song, Guohua, 2023. "Which factor contributes more to the fuel consumption gap between in-laboratory vs. real-world driving conditions? An independent component analysis," Energy Policy, Elsevier, vol. 182(C).
    10. Jingeun Song & Junepyo Cha, 2021. "Analysis of Driving Dynamics Considering Driving Resistances in On-Road Driving," Energies, MDPI, vol. 14(12), pages 1-16, June.
    11. Banglin Deng & Weijiao Yu & Lili Zhou & Chengqi Sun, 2023. "A Comparative Investigation of the Emissions of a Heavy-Duty Diesel Engine under World Harmonized Transient Cycle and Road Spectrum Cycle," Energies, MDPI, vol. 17(1), pages 1-18, December.
    12. Alexandros T. Zachiotis & Evangelos G. Giakoumis, 2021. "Monte Carlo Simulation Methodology to Assess the Impact of Ambient Wind on Emissions from a Light-Commercial Vehicle Running on the Worldwide-Harmonized Light-Duty Vehicles Test Cycle (WLTC)," Energies, MDPI, vol. 14(3), pages 1-24, January.
    13. Mera, Zamir & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2019. "Analysis of the high instantaneous NOx emissions from Euro 6 diesel passenger cars under real driving conditions," Applied Energy, Elsevier, vol. 242(C), pages 1074-1089.
    14. Francesco Pilati & Riccardo Tronconi, 2024. "Tri-Objective Vehicle Routing Problem to Optimize the Distribution Process of Sustainable Local E-Commerce Platforms," Sustainability, MDPI, vol. 16(5), pages 1-36, February.
    15. Küng, Lukas & Bütler, Thomas & Georges, Gil & Boulouchos, Konstantinos, 2019. "How much energy does a car need on the road?," Applied Energy, Elsevier, vol. 256(C).
    16. Chen Cao & Feng Zhen & Xianjin Huang, 2022. "How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO 2 Emissions? An Empirical Study of Nanjing, China," IJERPH, MDPI, vol. 19(13), pages 1-17, June.

    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:16:y:2024:i:9:p:3522-:d:1381109. 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.