Bicycle Micro-simulation Based on a Combined Model

ZHANG Rui; YAN Qiaobing; HU Runze; MA Shang

doi:10.11936/bjutxb2019050027

Journal of Beijing University of Technology > 2020 > 46(9): 1048-1055. > DOI: 10.11936/bjutxb2019050027

ZHANG Rui, YAN Qiaobing, HU Runze, MA Shang. Bicycle Micro-simulation Based on a Combined Model[J]. Journal of Beijing University of Technology, 2020, 46(9): 1048-1055. DOI: 10.11936/bjutxb2019050027

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Bicycle Micro-simulation Based on a Combined Model

ZHANG Rui^{1, 2,},
YAN Qiaobing^{1, 3},
HU Runze⁴,
MA Shang^{1, 3}

1.
School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
2.
General Aviation Beijing Laboratory, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
3.
Beijing Urban Transportation Infrastructure Engineering Technology Research Center, Beijing 100044, China
4.
Beijing Public Transport Corporation, Beijing 100161, China

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Received Date: May 28, 2019
Available Online: August 03, 2022
Published Date: September 09, 2020

Graphical Abstract

Abstract

Abstract

To make up for the defect of a social force model, solve the unreasonable contact between bicycles in model application, and establish a more detailed and real bicycle simulation model, based on the social force model, this paper introduced the concept of cyclist's physiological perception space and combines discrete element method to describe virtual contact between non-motorized vehicles. The influence of different non-motorized lane boundaries was considered and the combined model was built. Finally, the combined model was validated from three aspects:basic graph, riding phenomenon and spacing analysis. Results show that the combined model can better express the bicycle flow and has good consistency with the reality. The reduction coefficients of roadside parking, guardrail, green belt and curb are given as 0.901, 0.928, 0.940 and 0.965, respectively, which can provide theoretical basis for bicycle operation management, facility design and construction.
- urban traffic,
- bicycle,
- micro-simulation,
- social force model,
- discrete element method,
- physiological perception space,
- boundary reduction factor

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References (18)

References

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