A traffic prediction system based on traffic investigation data and mobile phone signaling

被引：0

作者：

Feng, Han ^{[1
]}

Jiang, Lihong ^{[1
]}

Cai, Hongming ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Software, Shanghai, Peoples R China

来源：

2018 IEEE 15TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE 2018) | 2018年

关键词：

traffic investigation data; mobile phone signaling; traffic prediction system; data modeling; data cleaning;

D O I：

10.1109/ICEBE.2018.00035

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Traffic prediction is becoming more important for users to avoid traffic congestion. This paper represents a traffic prediction method based on the modelling of road traffic investigation data and mobile phone signaling as ElasticNet Regression using traffic investigation data and Road Node Fitting Algorithm using User Track A framework is proposed to combine the two kinds of data and a multi -functional traffic prediction system. A prototype system is developed. Discussion is demonstrated in the paper.

引用

页码：172 / 177

页数：6