IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9043-d869964.html
   My bibliography  Save this article

Analysis of Traffic Oversaturation Based on Multi-Objective Data

Author

Listed:
  • Bingsheng Huang

    (Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China)

  • Fusheng Zhang

    (Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China)

Abstract

With the increase in people’s travel demands, the air pollution generated by the means of transportation they take is also becoming more and more serious. Among them, in the process of people’s travel, the exhaust pollution caused by traffic congestion is particularly serious. Accurately identifying various regimes of oversaturation and taking effective control strategies play a key role in alleviating traffic congestion. There are three regimes of evolution during an oversaturated scenario: loading, oversaturated operation, and recovery. In the traffic signal control under the oversaturated scenario, the corresponding control targets and methods should be adopted based on the regime of oversaturation. In this paper, the multi-objective attributes and their trajectory data of each movement at the intersection are analyzed. Based on the oversaturation severity index, the traffic volume, and the queuing on the movement, the identification and cause analysis of each regime of the oversaturation are carried out. The examples and simulation results proved that the method proposed in this paper could effectively analyze the cause and degree of oversaturation and identify its regime. This has important implications for alleviating traffic congestion and reducing vehicle carbon emissions.

Suggested Citation

  • Bingsheng Huang & Fusheng Zhang, 2022. "Analysis of Traffic Oversaturation Based on Multi-Objective Data," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9043-:d:869964
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9043/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/15/9043/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abu-Lebdeh, Ghassan & Benekohal, Rahim F., 2003. "Design and evaluation of dynamic traffic management strategies for congested conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(2), pages 109-127, February.
    2. Santiago Sánchez González & Felipe Bedoya-Maya & Agustina Calatayud, 2021. "Understanding the Effect of Traffic Congestion on Accidents Using Big Data," Sustainability, MDPI, vol. 13(13), pages 1-19, July.
    3. Mariotte, Guilhem & Leclercq, Ludovic, 2019. "Flow exchanges in multi-reservoir systems with spillbacks," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 327-349.
    4. Leo Tišljarić & Tonči Carić & Borna Abramović & Tomislav Fratrović, 2020. "Traffic State Estimation and Classification on Citywide Scale Using Speed Transition Matrices," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    5. Junjie Wang & Yuan Li & Yi Zhang, 2022. "Research on Carbon Emissions of Road Traffic in Chengdu City Based on a LEAP Model," Sustainability, MDPI, vol. 14(9), pages 1-15, May.
    6. Fu Wang & Dengjun Gu & Anqi Chen, 2022. "Analysis of Traffic Operation Characteristics and Calculation Model of the Length of the Connecting Section between Ramp and Intersection," Sustainability, MDPI, vol. 14(2), pages 1-20, January.
    7. Viacheslav Morozov & Sergei Iarkov, 2021. "Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    8. José D. Padrón & David Soler & Carlos T. Calafate & Juan-Carlos Cano & Pietro Manzoni, 2022. "Improving Air Quality in Urban Recreational Areas through Smart Traffic Management," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    9. Amirhossein Baghestani & Mohammad Tayarani & Mahdieh Allahviranloo & H. Oliver Gao, 2020. "Evaluating the Traffic and Emissions Impacts of Congestion Pricing in New York City," Sustainability, MDPI, vol. 12(9), pages 1-16, May.
    10. Roxanne Neufville & Hassan Abdalla & Ali Abbas, 2022. "Potential of Connected Fully Autonomous Vehicles in Reducing Congestion and Associated Carbon Emissions," Sustainability, MDPI, vol. 14(11), pages 1-29, June.
    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. Krystian Szczepański & Katarzyna Bebkiewicz & Zdzisław Chłopek & Hubert Sar & Dagna Zakrzewska, 2023. "Analysis of the National Annual Emission of Pollutants from Road Transport in Poland in the Years 1990–2020," Energies, MDPI, vol. 16(10), pages 1-22, May.
    2. He, Brian Yueshuai & Zhou, Jinkai & Ma, Ziyi & Wang, Ding & Sha, Di & Lee, Mina & Chow, Joseph Y.J. & Ozbay, Kaan, 2021. "A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City," Transport Policy, Elsevier, vol. 101(C), pages 145-161.
    3. Xiurui Guo & Chunxiao Ning & Yaqian Shen & Chang Yao & Dongsheng Chen & Shuiyuan Cheng, 2023. "Projection of the Co-Reduced Emissions of CO 2 and Air Pollutants from Civil Aviation in China," Sustainability, MDPI, vol. 15(9), pages 1-23, April.
    4. Bedoya-Maya, Felipe & Calatayud, Agustina & González Mejia, Vileydy, 2022. "Estimating the effect of urban road congestion on air quality in Latin America," IDB Publications (Working Papers) 12468, Inter-American Development Bank.
    5. Chen, Zhi & Wu, Wen-Xiang & Huang, Hai-Jun & Shang, Hua-Yan, 2022. "Modeling traffic dynamics in periphery-downtown urban networks combining Vickrey's theory with Macroscopic Fundamental Diagram: user equilibrium, system optimum, and cordon pricing," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 278-303.
    6. Ennio Cascetta & Mariano Gallo & Bruno Montella, 2006. "Models and algorithms for the optimization of signal settings on urban networks with stochastic assignment models," Annals of Operations Research, Springer, vol. 144(1), pages 301-328, April.
    7. Viacheslav Morozov & Vladimir Shepelev & Viktor Kostyrchenko, 2022. "Modeling the Operation of Signal-Controlled Intersections with Different Lane Occupancy," Mathematics, MDPI, vol. 10(24), pages 1-24, December.
    8. Tariq Munir & Hussein Dia & Hadi Ghaderi, 2021. "A Systematic Review of the Role of Road Network Pricing in Shaping Sustainable Cities: Lessons Learned and Opportunities for a Post-Pandemic World," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    9. Sun, S. & Szeto, W.Y., 2021. "Multi-class stochastic user equilibrium assignment model with ridesharing: Formulation and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 203-227.
    10. Bao, Yue & Verhoef, Erik T. & Koster, Paul, 2021. "Leaving the tub: The nature and dynamics of hypercongestion in a bathtub model with a restricted downstream exit," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    11. Gu, Ziyuan & Li, Yifan & Saberi, Meead & Rashidi, Taha H. & Liu, Zhiyuan, 2023. "Macroscopic parking dynamics and equitable pricing: Integrating trip-based modeling with simulation-based robust optimization," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 354-381.
    12. Ludovic Leclercq & Mahendra Paipuri, 2019. "Macroscopic Traffic Dynamics Under Fast-Varying Demand," Transportation Science, INFORMS, vol. 53(6), pages 1526-1545, November.
    13. Kun Jin & Wei Wang & Xuedong Hua & Wei Zhou, 2020. "Reinforcement Learning for Optimizing Driving Policies on Cruising Taxis Services," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    14. Mingyue Chen & Chao Zhang & Chuanming Chen & Jinsheng Li & Wenyue Cui, 2023. "Main Pathways of Carbon Reduction in Cities under the Target of Carbon Peaking: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    15. Yang Shao & Zhongbin Luo & Huan Wu & Xueyan Han & Binghong Pan & Shangru Liu & Christian G. Claudel, 2020. "Evaluation of Two Improved Schemes at Non-Aligned Intersections Affected by a Work Zone with an Entropy Method," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    16. Gu, Ziyuan & Safarighouzhdi, Farshid & Saberi, Meead & Rashidi, Taha H., 2021. "A macro-micro approach to modeling parking," Transportation Research Part B: Methodological, Elsevier, vol. 147(C), pages 220-244.
    17. S. F. A. Batista & Ludovic Leclercq, 2019. "Regional Dynamic Traffic Assignment Framework for Macroscopic Fundamental Diagram Multi-regions Models," Transportation Science, INFORMS, vol. 53(6), pages 1563-1590, November.
    18. Simone Baldi & Iakovos Michailidis & Vasiliki Ntampasi & Elias Kosmatopoulos & Ioannis Papamichail & Markos Papageorgiou, 2019. "A Simulation-Based Traffic Signal Control for Congested Urban Traffic Networks," Service Science, INFORMS, vol. 53(1), pages 6-20, February.
    19. Abdelhalim Azam & Fayez Alanazi & Mohamed Ahmed Okail & Mohamed Ragab, 2023. "Operational and Environmental Assessment of Weaving Section for Urban Roads: Case Study, Aljouf Region, KSA," Sustainability, MDPI, vol. 15(5), pages 1-13, February.
    20. 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.

    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:14:y:2022:i:15:p:9043-:d:869964. 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.