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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
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    References listed on IDEAS

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    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.
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    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.

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