Open Access
Issue
E3S Web Conf.
Volume 268, 2021
2020 6th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2020)
Article Number 01034
Number of page(s) 13
DOI https://doi.org/10.1051/e3sconf/202126801034
Published online 11 June 2021
  1. Zhu Xichan, Li Mengliang et al. Methodology for driving cycles development[J]. Journal of Jiangsu University; 2005(02) : 110–111 [Google Scholar]
  2. Rakha H., Crowther B. Comparison of Greenshields, Pipes, and Van Aerde car-following and traffic stream models[J]. Transportation Research Record: Journal of the Transportation Research Board, 2002 (1802): 248–262. [Google Scholar]
  3. Gazis D.C., Herman R., Rothery R.W. Nonlinear follow-the-leader models of traffic flow[J]. Operations research, 1961, 9(4): 545–567. [CrossRef] [Google Scholar]
  4. Blue V.J., Adler J.L. Cellular automata microsimulation for modeling bi-directional pedestrian walkways[J]. Transportation Research Part B: Methodological, 2001, 35(3): 293–312. [CrossRef] [Google Scholar]
  5. Shao Chunfu et al., Speed-density relation model of congested traffic flow under minimum safety distance constraint[J].Journal of Transportation Engineering, 2015, 15(1):92–99. [Google Scholar]
  6. The State Council issued the "Notice on Adjusting the Standards for City Division"[J].Shanghai City Planning, 2014(6):159–159. [Google Scholar]
  7. Li Hongping et al. Factors influencing free flow speed on expressway[J].Journal of Jilin University(Engineering and Technology Edition), 2007, 37(4):772–776. [Google Scholar]
  8. Ali A.T., Flannery A., Venigalla M.M. Prediction Models for Free Flow Speed on Urban Streets[C] // Transportation Research Board 86th Annual Meeting. 2007. [Google Scholar]
  9. Lobo A., Rodrigues C., Couto A. Free-Flow Speed Model Based on Portuguese Roadway Design Features for Two-Lane Highways[J] . Transportation Research Record Journal of the Transportation Research Board, 2013, 2348(2348):12–18. [CrossRef] [Google Scholar]
  10. 2010 CJJT.Technical standards for traffic impact assessment of construction projects[SD], 2010. [Google Scholar]
  11. Li Xiuwen. Study on capacities of diverging and merging are of urban expressways [D].Beijing industry university, 2005. [Google Scholar]
  12. Wang Hao, Wang Wei, Chen Jun. Effects of Speed Dispersion on Capacity of Freeways[J]. Journal of Beijing industry university, 2010,(10):1389–1395. [Google Scholar]
  13. Yang Zhongliang et al. Urban Expressway Capacity Under Adverse Weather Conditions[J].Traffic Information and Security, 2010,(01):75–78. [Google Scholar]
  14. Ji Hao, Lyu Mei, Su Bing.Effects of bus stopping behavior on urban two-lane-road capacity[J].Chinese Journal of Safety Science, 2015,(01):128–132. [Google Scholar]
  15. Zhang Xirui, Fang Zhixiang et al. A Spatio-temporal Analysis on the Heterogeneous Distribution of Urban Road Network Capacity Based on Floating Car Data[J]. Journal of Geo-information Science, 2015,(03):336–343. [Google Scholar]
  16. Xue Yu et al. AN IMPROVED ONE-DIMENSIONAL CELLULAR AUTOMATON MODEL OF TRAFFIC FLOW AND THE EFFECT OF DECELERATION PROBABILITY [J].ACTA PHYSICA SINICA, 2001, 50(3):445–449. [CrossRef] [Google Scholar]
  17. Zhuge Jingmin. A Study of Traffic Behaviors on Urban Expressway [D].Beijing industry university, 2000. [Google Scholar]
  18. Kuang Hua, Kong Ling Jiang, Liu Mu Ren.The study of a cellular automaton traffic flow model with mixed different_maximum_speed vehicles on single lane [J]. ACTA PHYSICA SINICA, 2004, 53(9):2894–2898. [CrossRef] [Google Scholar]
  19. Zhang Cun-Bao et al. Traffic Flow Characteristic and Models of Freeway under Rain Weather[J].JOURNAL OF WUHAN UNIVERSITY OF TECHNOLOGY, 2013, 35(3):63–67. [Google Scholar]
  20. Wang Ying-Ping et al. A Comprehensive Review over the Application of Catastrophe Theory in Traffic Flow[J]. Transportation system Engineering and Information, 2005, 5(6):68–71. [Google Scholar]
  21. Wu Ke-Fei, Kong Ling-Jiang, Liu Mu-Ren.The study of a cellular automaton NS and WWH mixed model for traffic flow on a two_lane roadway[J].ACTA PHYSICA SINICA, 2006, 55(12):6275–6280. [CrossRef] [Google Scholar]
  22. Yue Hao, Shao Chun-fu et al. Simulation of bi-directional pedestrian flow based on cellular automata model[J]. ACTA PHYSICA SINICA, 2008, 57(11):6901–6908. [CrossRef] [Google Scholar]
  23. Peng Li-Juan, Kang Rui. One-dimensional cellular automaton model of traffic flow considering drivers’ features[J]. ACTA PHYSICA SINICA, 2009, 58(2):830–835. [CrossRef] [Google Scholar]
  24. Wu Ruilin et al. Analysis and Enlightenment of Speed-Flow Rate-Density Curve of Typical Expressway Section in "HCM (2000)" [J]. Chinese and foreign highways, 2015, 35(3):328–331. [Google Scholar]
  25. Li Ying-Hong, Pan Jia-Qi. Real-time and Online Traffic Flow Prediction Based on Optima Method[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(2):119–125. [Google Scholar]
  26. Shao Chun-Fuet, Speed-density relation model of congested traffic flow under minimum safety distance constraint[J]. Journal of Transportation Engineering, 2015, 15(1):92–99. [Google Scholar]
  27. Zhang Xuelian. Multi-level Models to Measure Road Network Operational Conditions for Megapolises[D]. Beijing Jiaotong University, 2008. [Google Scholar]
  28. BAIRU. Research on Traffic Congestion Degree Determination Method based on VHT for Road Networks [D]. Chang' an University, 2013. [Google Scholar]

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