The Analysis of the Sharing of Bicycles

The Analysis of the Sharing of Bicycles

C. Feng X. LiJ. Liang 

Guangdong University of Science and Technology, Dongguan 523083, China

School of Applied Mathematics, Guangdong University of Technology, Guangdong 510080, China

Corresponding Author Email: 
57079540@qq.com
Page: 
26-35
|
DOI: 
https://doi.org/10.18280/mmc_d.380103
Received: 
December 2017
| |
Accepted: 
30 January 2017
| | Citation

OPEN ACCESS

Abstract: 

This paper, based on the ecology of Shared bicycle supply equation, using three kinds of methods, analysis of Shared bicycle quantity statistics, obtained the reasonable quantity, to reduce the operating cost sharing bike, reduce occupied city public area, and reduce the urban traffic crowded. It has very important significance .The first method: according to the ecology of Shared bicycle supply equation, under the condition of the damping parameters k, used quantity of Shared bicycle supply x are constant, to calculate the Shared bicycle supply y ,which is an ideal and identified as sharing bicycle supply which is as the mathematical expectation. And then sharing a small part of the bicycle quantity was collected, and it is assumed that in the test sample, which is as a subsample, to determine whether the quantity of the bicycle is acceptable.

The second method: based on the ecological equation of the Shared bicycle to obtained a series ( 1,2,3 ) i y i = , It is assumed that in the test sample, as a subsample, and it is used to comparison between the actual and the observed actual volume of the operation is made to estimate whether the actual volume is reasonable in which the damping parameters k, is constant. 

The third method: obtained a series ( 1,2,3 ) i y i = , based on the ecology of shared bicycle supply equation to comparison between the actual and the observed actual volume of the operation, but the damping parameters k is various.

Keywords: 

Ecological equation, limit cycle, hypothesis test

1. Introduction
2. Main Result
3. Conclusion
  References

[1]. Y. Duan, T. Gao, Based on the fuzzy comprehensive evaluation method of urban road congestion evaluation method research, 2013, Logistics Technology, pp. 15-33.

[2]. X. Cong, Research to the influential factors of urban road traffic capacity, 2016, College Students Paper Joint Than in the Library.

[3]. J. Li, Based on the influence of road network logistics cost research, 2009, Master Thesis, Hefei University of Technology, pp. 6-48.

[4]. C. Yu, Thinking on some issues of traffic management, 2016, Digital Communication World, pp. 1-38.

[5]. Y. Wang, Rail transit network changes and the response of the urban space development strategy research, 2013, Tianjin University Doctoral Dissertation, pp. 1-117.

[6]. Y. Duan, Optimization design of the single processor scheduling algorithm in real-time system research, 2013, Journal of Operational Research, vol. 17, no. 1, pp. 27-34.

[7]. L. Lin, W. Cheng, Petri network application in uncontrolled intersection conflict analysis, 20019, Forest Engineering, pp. 60-63.

[8]. Y. Duan, Comparative study of different genetic operator combination to solve TSP proble, 2012, Science and Technology, vol. 28, no. 5, pp. 27-31.

[9]. Z. Wang, Road traffic capacity analysis (new)[DB/OL], Baidu library, September 2013. https://wenku.baidu.com/view/0cc8620dbd64783e09122b8b.html

[10]. G. Sansone, Sopra lequazione di A. Lienard delle ocillaxionidi rilassamento, 1949, Ann. Mat Pure End Appl., Vol, 4, pp. 153-181.

[11]. C. Feng, J. Liang, Solve the more general travelling salesman problem2014, AMSE Journals Series: Modelling D, vol. 35, no. 1, pp. 9-23.

[12]. C. Feng, J. Liang, The solution of the more general traveling salesman, 2014, AMSE Journals Series: Advances A, vol. 51, no. 1, pp. 27-40.