Towards Scalable Processing for a Large-Scale Ride Sharing Service

被引：4
|
作者：
Jin, Beihong [1 ]
Hu, Jiafeng [2 ]
机构：
[1] Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China
[2] Chinese Acad Sci, Grad Univ, Beijing 100190, Peoples R China
来源：
2012 9TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INTELLIGENCE & COMPUTING AND 9TH INTERNATIONAL CONFERENCE ON AUTONOMIC & TRUSTED COMPUTING (UIC/ATC) | 2012年
基金：
中国国家自然科学基金;
关键词：
Pub/Sub; trajectory matching; ride sharing service; scalable processing;
D O I：
10.1109/UIC-ATC.2012.152
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Ride sharing is a promising way to realize a convenient, economic and low-carbon travel. After analyzing and refining the requirements of a ride sharing service, the paper models the trajectory matching therein and discusses the implementation of a large-scale ride sharing service with the aim of improving the efficiency and scalability.
引用
收藏
页码：940 / 944
页数：5
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