Using Data Mining to Improve the Public Transport in Gran Canaria Island

被引：3
作者：
Cristobal, Teresa [1 ]
Lorenzo, Jose J. [2 ]
Garcia, Carmelo R. [1 ]
机构：
[1] Univ Las Palmas Gran Canaria, Inst Cybernet Sci & Technol, Las Palmas Gran Canaria 35017, Spain
[2] Univ Las Palmas Gran Canaria, Inst Intelligent Syst & Numer Applicat Engn, Las Palmas Gran Canaria 35017, Spain
来源：
COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2015 | 2015年 / 9520卷
关键词：
Data mining; Intelligent transport systems; Public transport management;
D O I：
10.1007/978-3-319-27340-2_96
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work Business Intelligence and Data Mining techniques have been used to extract useful knowledge for the main corporation of intercity public transportation on Gran Canaria island. The aim has been to find a pattern to predict the number of passengers who want to travel from one point to another. To achieve it, events files generated in the vehicles of the company and additional data have been used as information source: temporal (time of the trip, type of the day, month and season) and geographic and demographic (departure and destination bus stop, type of bus stop and zip codes of the origin and destination bus stop.
引用
收藏
页码：781 / 788
页数：8
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