Skip to main content

Traffic Planning Method of Smart City Based on Network Optimization

  • Conference paper
  • First Online:
Innovative Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 675))

  • 60 Accesses

Abstract

With the economic development and social progress, China’s urban construction began to gradually turn to the field of smart city construction; this concept is gradually promoted throughout the country. Smart city emphasizes that the informationization of urban construction is more scientific and puts forward more strict standards for the construction of urban infrastructure. As an important part of smart city construction, urban traffic construction is related to the overall process and final result of urban construction. At present, there are still many problems in urban traffic planning in China. As the application of network optimization in various fields is gradually mature in recent years, solving the problem of urban traffic planning with the help of network optimization has gradually become the focus of people’s attention. On the basis of network optimization, this paper analyzes the problems existing in the current traffic planning with the help of user equilibrium model and puts forward the traffic planning method related to smart city on this basis. On the one hand, it provides more scientific guidance for the traffic planning of China’s future smart city. On the other hand, it also provides a certain theoretical basis for future research on related aspects.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zheng-hua, G.U., and L.I. Xu-hong. 2017. Evaluation for Urban traffic management planning on improved principal component analysis method. Communication & Transportation Systems Engineering & Information 4 (2): 51–55.

    Google Scholar 

  2. Lan, L.I. 2019. Urban traffic planning based on value management. Urban Studies 532 (95): 9–17.

    Google Scholar 

  3. Liu, Ji Peng, and Zhen Xing Tang. 2017. Urban traffic management and Urban planning. Applied Mechanics and Materials 55 (17): 178–181.

    Google Scholar 

  4. Qiang, Zhang, Liu Ke, and Gao Zi-you. 2017. An application of attribute synthetic evaluation system in Urban traffic planning. systems engineering-theory & practice, 28 (11): 343–349.

    Google Scholar 

  5. Rong guo, M.A., Yang Li bo, and. 2017. Urban traffic planning characterized by sustainable development. Journal of Xian Highway University 20 (4): 159–163.

    Google Scholar 

  6. Wei, C.A.O., and W.U. Jianan. 2017. Research in Urban traffic strategy planning on the background of xiamen special economic zones dilatation to city wide. Urban Studies 15 (9): 662–664.

    Google Scholar 

  7. Zeng, Xiao Ming, Zhang, Yu. Hong, and Mo Zhu. 2017. Study of emergency-based Urban traffic planning. Applied Mechanics and Materials 20 (11): 696–700.

    Google Scholar 

  8. Wei, Wang. 2017. Framework design of urban traffic management planning theory. Journal of Southeast University 33 (3): 335–339.

    Google Scholar 

  9. Qin, Wang, Wang Wei, and Li Tie-zhu. 2017. Transport planning for Urban public traffic transfer hubs. Communication and Transportation Systems Engineering and Information 32 (15): 547–559.

    Google Scholar 

  10. Ohtsuki, Tomoaki. 2017. A smart city based on ambient intelligence. Ieice Transactions on Communications, 100 (9): 2–3.

    Google Scholar 

  11. Lin, Zhao Wu, and Shu Wei Wei. 2017. Analysis to Urban traffic jam from the perspective of city planning. Applied Mechanics and Materials 50 (7): 527–530.

    Google Scholar 

  12. Li, Min, Ru Rui Zhou, and Yu Jun Ma. 2017. Multi-hierarchy variable fuzzy evaluation method of planning design scheme of Urban traffic facilities. Applied Mechanics and Materials 13 (7): 321–324.

    Google Scholar 

  13. Carlier, Guillaume, and Filippo Santambrogio. 2018. A variational model for urban planning with traffic congestion. Esaim Control Optimisation & Calculus of Variations 11 (4): 595–613.

    Article  MathSciNet  Google Scholar 

  14. Zhang, Hong Liang. 2017. Urban vehicle emissions management under uncertainty—a traffic planning model with interval-parameter programming. Advanced Materials Research 59 (23): 864–867.

    Google Scholar 

  15. Kos, Goran Brlek, and Predrag Horvat. 2017. Traffic planning in small urban area to reduce negative ecological impact of road traffic. Hazu Ekološki Problemi Prometnog Razvoja.pozivno Predavanje Zbornik Radova Sa Znanstvenog Skupa Zagreb.veljače 32 (5): 174–178.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yang Lu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lu, Y. (2020). Traffic Planning Method of Smart City Based on Network Optimization. In: Yang, CT., Pei, Y., Chang, JW. (eds) Innovative Computing. Lecture Notes in Electrical Engineering, vol 675. Springer, Singapore. https://doi.org/10.1007/978-981-15-5959-4_110

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-5959-4_110

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5958-7

  • Online ISBN: 978-981-15-5959-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics