题名

Summary of Highway Service Level Research

DOI

10.6919/ICJE.202205_8(5).0094

作者

Tao Liu

关键词

Highway ; Service Level ; Evaluation Method ; Identification ; Data ; Review

期刊名称

International Core Journal of Engineering

卷期/出版年月

8卷5期(2022 / 05 / 01)

页次

733 - 739

内容语文

英文

中文摘要

The highway has greatly promoted the development of the population and economy of the city, and played a leading role in the development of the transportation industry. In order to better improve the value of highway, we have conducted research on highway service levels, systematically reviewed the research progress and methods in recent years, and divided the highway service level research into the establishment of highway service level evaluation index system and highway The service level identification method summarizes the highway service level classification standards of various countries. At the same time, it briefly summarizes the service level evaluation parameters of different structures of the highway, and conducts the calculation method and modeling method of the parameters required for the evaluation. Inductively analyze and describe its strengths and weaknesses. Looking forward to the future research trends and development directions of highway service levels, analysis should be combined with specific and reliable real-time data.

主题分类 工程學 > 工程學綜合
参考文献
  1. Hai qiang Liu, Xiu cheng Guo. Factor Analysis Based Evaluation on Level of Service for Basic Segments in Urban Highway [A]. IEEE Beijing Section, China, Hunan University of Humanities, Science and Technology, China: IEEE BEIJING SECTION, 2012:4.
    連結:
  2. Zhuo Wang, Xiao-ting Dong, Hong-hui Dong, Li-min Jia, Yong Qin. Study on service level evaluation of Beijing urban highway, China [J]. Proceedings of the Institution of Civil Engineers - Transport, 2013, 166(3).
    連結:
  3. Guo, Jun; Zhang, Xiao yu; Gao,etc. Highway Traffic Flow Status Recognition Method Based on Deep Neural Network[R]. Pyeongchang, SOUTH KOREA:22nd IEEE International Conference on Advanced Communication Technology (ICACT),FEB 16-19, 2020.
    連結:
  4. Benjamin Coifman. Estimating travel times and vehicle trajectories on freeways using dual loop detectors [J]. Transportation Research Part A, 2002, 36(4).
    連結:
  5. Mehmet Yildirimoglu, Nikolas Geroliminis. Experienced travel time prediction for congested freeways [J]. Transportation Research Part B, 2013, 53.
    連結:
  6. Ming jun Deng, Shi ru Qu,Xiang yu Meng. Road Short-Term Travel Time Prediction Method Based on Flow Spatial Distribution and the Relations [J]. Mathematical Problems in Engineering, 2016, 2016.
    連結:
  7. Dawn Woodard, Galina Nogin, Paul Koch, David Racz, Moises Goldszmidt, Eric Horvitz. Predicting travel time reliability using mobile phone GPS data [J]. Transportation Research Part C, 2017, 75.
    連結:
  8. Hillel Bar-Gera. Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel [J]. Transportation Research Part C, 2007, 15(6).
    連結:
  9. Zhou Wei, Wang Bing gang. Research on the determination principle and method of service level and service traffic volume [J].Chinese Journal of highway, 2001 (02): 92-97.
  10. Feng Yu rong, Yang Shaowei, Zhang Chi, Chen Tong. Sensitivity analysis of service level in expressway weaving area [J]. Highway transportation technology, 2017,34 (01): 103-111.
  11. Pei Yulong, Tao Ze ming, Xu Da wei. Study on service level evaluation index of expressway weaving area [J]. Computer and transportation (2007.06-52).
  12. Zhao Jun li, Tang Yi, Wang Jian wei. Comprehensive evaluation method of service level of expressway service area system [J]. Journal of Chang University (NATURAL SCIENCE EDITION), 2008,28 (06): 73-75 + 84.
  13. Wang Jian hua, Yao Xiao jun, Jing Wei. Investigation and analysis of service level in Xinxiang section of national highway 107 [J]. Journal of Chang University (NATURAL SCIENCE EDITION), 2002 (05): 29-31.
  14. Xu Qing jun, Zhang Jian yong, Pan Bin. Discussion on the service level evaluation method of networked highways based on characteristic vehicle operating speed [J]. Shandong Transportation Science and Technology, 2008(03): 62-65.
  15. Gao Zhao hui, Zhang Xiao chun, Wang Yao, Chai Gan. Fuzzy comprehensive evaluation method for traffic operation state of Expressway Section [J]. Journal of China University of mining and technology, 2014,43 (02): 339-344.
  16. Tan Lian Wu. Multilevel comprehensive evaluation of service status of expressway system [J]. Highway, 2015,60 (04): 184-188.
  17. Liu Shi duo,Wu qun qi. Comprehensive evaluation of highway section unblocked state [J]. Statistics and information forum, 2010,25 (03): 71-75.
  18. Wang Wei, Edited by Guo Xiu cheng. Traffic engineering [M]. Nanjing: Southeast University Press, 2000.
  19. Transportation Research Board. Highway Capacity Manual[M]. Washington, D. C.: Transportation Research Board,2010.
  20. WU N,LERSTIN K.A New Model for Level of Service of Freeway Merge, Diverge, and Weaving Segments[C] / / 6th International Symposium on Highway Capacity and Quality of Service. Amsterdam: Elsevier Ltd,2011:151-162.
  21. JTG B01- 2014, technical standard for highway engineering [S].
  22. Guo Yi rong, Dong Bao tian, Wu Lei. Research on traffic state recognition and dynamic evaluation based on speed [J]. Highway transportation technology, 2012,29 (S1): 26-31.
  23. Shi Zhong ke. Joint estimation method of expressway traffic state [J]Control and decision making, 2003 (06): 747-750.
  24. Long Ke jun, Zhou Zheng chuan, Yao wu kai. Research on expressway traffic flow state estimation method [J]. Highway and automobile transportation, 2019 (05): 25-28 + 34.
  25. Zhong Lian de, sun Xiao duan, he Yu long, Chen Yong sheng. Quantitative classification of expressway safety service level [J]. Highway, 2008 (10): 137-140.