City Taxi "Supply to Match" Degree Analysis and Solution Algorithm

DOI

10.2991/emim-16.2016.333How to use a DOI?

Keywords

Python; Principal component analysis; MATLAB; No-load ratio

Abstract

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[1]. 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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 1641
EP  - 1646
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.333
DO  - 10.2991/emim-16.2016.333
ID  - Han2016/04
ER  -