City Taxi "Supply to Match" Degree Analysis and Solution Algorithm
Fengyu Han, Qiang Fu
Available Online April 2016.
- https://doi.org/10.2991/emim-16.2016.333How to use a DOI?
- Python; Principal component analysis; MATLAB; No-load ratio
- In this paper, we focus on the need to solve the problem through reasonable index, based on a taxi drops quickly intelligent software platform, with Beijing as an example, Analysis the degree of “The matching of supply and demand” under different time and space. This paper has established three kinds of methods, they are analysis method, no-load ratio method and get the data through Python program. And we also used MATLAB R2014b, Python, SPSS software, etc. Based on taxi no-load ratio as the major factors to control measure "the matching of supply and demand". By using principal component analysis to select reasonable factors that influence the matching of supply and demand. Get the internal relationships between the variables by SPSS software, and finally we selected taxi's distribution of quantity and demand as reasonable index. Drawing three-dimensional image with time and space as independent variables, impact index as dependent variable through MATLAB, we use it to express no-load ratio and then reflect the degree of “The matching of supply and demand ” under different time and space.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Fengyu Han AU - Qiang Fu PY - 2016/04 DA - 2016/04 TI - City Taxi "Supply to Match" Degree Analysis and Solution Algorithm BT - 6th International Conference on Electronic, Mechanical, Information and Management Society PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/emim-16.2016.333 DO - https://doi.org/10.2991/emim-16.2016.333 ID - Han2016/04 ER -