IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i11p284-d674690.html
   My bibliography  Save this article

Intelligent Planning and Research on Urban Traffic Congestion

Author

Listed:
  • Qigang Zhu

    (Department of Electrical Engineering & Information Technology, Shandong University of Science and Technology, Jinan 250031, China)

  • Yifan Liu

    (Department of Electrical Engineering & Information Technology, Shandong University of Science and Technology, Jinan 250031, China
    Division of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China)

  • Ming Liu

    (Department of Electrical Engineering & Information Technology, Shandong University of Science and Technology, Jinan 250031, China)

  • Shuaishuai Zhang

    (Department of Electrical Engineering & Information Technology, Shandong University of Science and Technology, Jinan 250031, China)

  • Guangyang Chen

    (Department of Electrical Engineering & Information Technology, Shandong University of Science and Technology, Jinan 250031, China)

  • Hao Meng

    (Department of Electrical Engineering & Information Technology, Shandong University of Science and Technology, Jinan 250031, China)

Abstract

For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for example. In view of the daily traffic jam of the city’s road traffic, through investigation and analysis, the existing problems of the road traffic are found out. Based on real-time, daily road traffic data, combined with the existing road network and the planned road network, the application of a road intelligent transportation system is proposed. Combined with the application of a road intelligent transportation system, this paper discusses the future development of urban road traffic and puts forward improvement suggestions for road traffic planning. This paper has reference value for city development, road network construction, the application of intelligent transportation systems, and road traffic planning.

Suggested Citation

  • Qigang Zhu & Yifan Liu & Ming Liu & Shuaishuai Zhang & Guangyang Chen & Hao Meng, 2021. "Intelligent Planning and Research on Urban Traffic Congestion," Future Internet, MDPI, vol. 13(11), pages 1-17, November.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:11:p:284-:d:674690
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/11/284/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/13/11/284/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Piotr Gołębiowski & Marianna Jacyna & Andrzej Stańczak, 2021. "The Assessment of Energy Efficiency versus Planning of Rail Freight Traffic: A Case Study on the Example of Poland," Energies, MDPI, vol. 14(18), pages 1-18, September.
    2. Kan, Kan & Chen, Huixiang & Zheng, Yuan & Zhou, Daqing & Binama, Maxime & Dai, Jing, 2021. "Transient characteristics during power-off process in a shaft extension tubular pump by using a suitable numerical model," Renewable Energy, Elsevier, vol. 164(C), pages 109-121.
    3. Janusz Piechna, 2021. "Low Pressure Tube Transport—An Alternative to Ground Road Transport—Aerodynamic and Other Problems and Possible Solutions," Energies, MDPI, vol. 14(13), pages 1-33, June.
    4. Elżbieta Macioszek & Agata Kurek, 2021. "The Analysis of the Factors Determining the Choice of Park and Ride Facility Using a Multinomial Logit Model," Energies, MDPI, vol. 14(1), pages 1-33, January.
    5. Jamil Hamadneh & Domokos Esztergár-Kiss, 2021. "The Influence of Introducing Autonomous Vehicles on Conventional Transport Modes and Travel Time," Energies, MDPI, vol. 14(14), pages 1-28, July.
    6. Chen, Binkai & Liu, Dan & Lu, Ming, 2018. "City size, migration and urban inequality in China," China Economic Review, Elsevier, vol. 51(C), pages 42-58.
    7. Kan, Kan & Yang, Zixuan & Lyu, Pin & Zheng, Yuan & Shen, Lian, 2021. "Numerical study of turbulent flow past a rotating axial-flow pump based on a level-set immersed boundary method," Renewable Energy, Elsevier, vol. 168(C), pages 960-971.
    8. Kan, Kan & Zheng, Yuan & Chen, Huixiang & Zhou, Daqing & Dai, Jing & Binama, Maxime & Yu, An, 2020. "Numerical simulation of transient flow in a shaft extension tubular pump unit during runaway process caused by power failure," Renewable Energy, Elsevier, vol. 154(C), pages 1153-1164.
    9. Jairo Ortega & János Tóth & Tamás Péter, 2021. "A Comprehensive Model to Study the Dynamic Accessibility of the Park & Ride System," Sustainability, MDPI, vol. 13(7), pages 1-17, April.
    10. Elżbieta Macioszek & Agata Kurek, 2020. "The Use of a Park and Ride System—A Case Study Based on the City of Cracow (Poland)," Energies, MDPI, vol. 13(13), pages 1-26, July.
    11. Lin Li & Serdar Coskun & Jiaze Wang & Youming Fan & Fengqi Zhang & Reza Langari, 2021. "Velocity Prediction Based on Vehicle Lateral Risk Assessment and Traffic Flow: A Brief Review and Application Examples," Energies, MDPI, vol. 14(12), pages 1-30, June.
    12. Mitra, Suman K. & Saphores, Jean-Daniel M., 2019. "Why do they live so far from work? Determinants of long-distance commuting in California," Journal of Transport Geography, Elsevier, vol. 80(C).
    13. Tanimoto, Jun & An, Xie, 2019. "Improvement of traffic flux with introduction of a new lane-change protocol supported by Intelligent Traffic System," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 1-5.
    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. Sura Mahmood Abdullah & Muthusamy Periyasamy & Nafees Ahmed Kamaludeen & S. K. Towfek & Raja Marappan & Sekar Kidambi Raju & Amal H. Alharbi & Doaa Sami Khafaga, 2023. "Optimizing Traffic Flow in Smart Cities: Soft GRU-Based Recurrent Neural Networks for Enhanced Congestion Prediction Using Deep Learning," Sustainability, MDPI, vol. 15(7), pages 1-21, March.

    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. Zhao, Kunjie & Xu, Yanhe & Guo, Pengcheng & Qian, Zhongdong & Zhang, Yongchuan & Liu, Wei, 2022. "Multi-scale oscillation characteristics and stability analysis of pumped-storage unit under primary frequency regulation condition with low water head grid-connected," Renewable Energy, Elsevier, vol. 189(C), pages 1102-1119.
    2. Huixiang Chen & Kan Kan & Haolan Wang & Maxime Binama & Yuan Zheng & Hui Xu, 2021. "Development and Numerical Performance Analysis of a Micro Turbine in a Tap-Water Pipeline," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    3. Zheming Tong & Zhongqin Yang & Qing Huang & Qiang Yao, 2022. "Numerical Modeling of the Hydrodynamic Performance of Slanted Axial-Flow Urban Drainage Pumps at Shut-Off Condition," Energies, MDPI, vol. 15(5), pages 1-17, March.
    4. Binama, Maxime & Kan, Kan & Chen, Hui-Xiang & Zheng, Yuan & Zhou, Daqing & Su, Wen-Tao & Muhirwa, Alexis & Ntayomba, James, 2021. "Flow instability transferability characteristics within a reversible pump turbine (RPT) under large guide vane opening (GVO)," Renewable Energy, Elsevier, vol. 179(C), pages 285-307.
    5. Kan, Kan & Xu, Zhe & Chen, Huixiang & Xu, Hui & Zheng, Yuan & Zhou, Daqing & Muhirwa, Alexis & Maxime, Binama, 2022. "Energy loss mechanisms of transition from pump mode to turbine mode of an axial-flow pump under bidirectional conditions," Energy, Elsevier, vol. 257(C).
    6. Xinfeng Ge & Jing Zhang & Jian Zhang & Demin Liu & Yuan Zheng & Huixiang Chen, 2022. "Review of Research on the Three-Dimensional Transition Process of Large-Scale Low-Lift Pump," Energies, MDPI, vol. 15(22), pages 1-34, November.
    7. Carola Leone & Laura Sturaro & Giacomo Geroli & Michela Longo & Wahiba Yaici, 2021. "Design and Implementation of an Electric Skibus Line in North Italy," Energies, MDPI, vol. 14(23), pages 1-22, November.
    8. Sun, Longyue & Pan, Qiang & Zhang, Desheng & Zhao, Ruijie & Esch, B.P.M.(Bart) van, 2022. "Numerical study of the energy loss in the bulb tubular pump system focusing on the off-design conditions based on combined energy analysis methods," Energy, Elsevier, vol. 258(C).
    9. Yu Chen & Jianxu Zhou & Bryan Karney & Qiang Guo & Jian Zhang, 2022. "Analytical Implementation and Prediction of Hydraulic Characteristics for a Francis Turbine Runner Operated at BEP," Sustainability, MDPI, vol. 14(4), pages 1-19, February.
    10. Kan Kan & Qingying Zhang & Yuan Zheng & Hui Xu & Zhe Xu & Jianwei Zhai & Alexis Muhirwa, 2022. "Investigation into Influence of Wall Roughness on the Hydraulic Characteristics of an Axial Flow Pump as Turbine," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    11. Nazam Ali & Shoichiro Nakayama & Hiromichi Yamaguchi, 2021. "Analysis of Bus Fare Structure to Observe Modal Shift, Operator Profit, and Land-Use Choices through Combined Unified Transport Model," Sustainability, MDPI, vol. 14(1), pages 1-17, December.
    12. Luis Ayala & Javier Mart n-Rom n & Juan Vicente, 2023. "What Contributes to Rising Inequality in Large Cities?," LIS Working papers 850, LIS Cross-National Data Center in Luxembourg.
    13. Giménez-Nadal, José Ignacio & Velilla, Jorge & Ortega, Raquel, 2022. "Revisiting excess commuting and self-employment: The case of Latin America," GLO Discussion Paper Series 1179, Global Labor Organization (GLO).
    14. Sara Abdallaoui & El-Hassane Aglzim & Ahmed Chaibet & Ali Kribèche, 2022. "Thorough Review Analysis of Safe Control of Autonomous Vehicles: Path Planning and Navigation Techniques," Energies, MDPI, vol. 15(4), pages 1-19, February.
    15. Mariusz Korzeń & Maciej Kruszyna, 2023. "Modified Ant Colony Optimization as a Means for Evaluating the Variants of the City Railway Underground Section," IJERPH, MDPI, vol. 20(6), pages 1-15, March.
    16. Xubei Luo & Nong Zhu, 2022. "Migration, Agglomeration and Attractiveness of Cities in China," Working Papers hal-03606056, HAL.
    17. Xu, Zhe & Zheng, Yuan & Kan, Kan & Chen, Huixiang, 2023. "Flow instability and energy performance of a coastal axial-flow pump as turbine under the influence of upstream waves," Energy, Elsevier, vol. 272(C).
    18. Martin Chýle & Michal Drábek, 2023. "Efficient Deployment of Dual Locomotives in Regional Freight Rail Transport," Energies, MDPI, vol. 16(5), pages 1-21, February.
    19. Huang, Ruting & Yao, Xin, 2023. "The role of power transmission infrastructure in income inequality: Fresh evidence from China," Energy Policy, Elsevier, vol. 177(C).
    20. Huan Yang & Xinning Zhang, 2023. "Persistence of culture: how the entrepreneurial culture of origin contributes to migrant entrepreneurship," Small Business Economics, Springer, vol. 61(3), pages 1179-1204, October.

    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:jftint:v:13:y:2021:i:11:p:284-:d:674690. 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.