Traffic Flow Prediction Based On Expressway Operating Vehicle Data

被引：4
|
作者：
Ai, Yunfei [1 ]
Bai, Zhiming [2 ]
Su, Hang [1 ]
Zhong, Nan [1 ]
Sun, Yunhua [1 ]
Zhao, Jiandong [3 ,4 ]
机构：
[1] Natl Engn Lab Transportat Safety & Emergency Info, Beijing 100011, Peoples R China
[2] Beijing Jiaotong Univ, Sch Mech & Elect Control Engn, Beijing 100044, Peoples R China
[3] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China
[4] Minist Educ, Key Lab Urban Transportat Complex Syst Theory & T, Beijing 100044, Peoples R China
来源：
2018 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2018) | 2018年
关键词：
Support vector machine; Traffic flow prediction; Expressway;
D O I：
10.1109/ICICTA.2018.00080
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Expressway traffic flow prediction is an important basis for traffic and transportation management department, and it is also an important support for promoting the development of intelligent transportation. Therefore, this paper predicts the expressway traffic flow based on the data of expressway operating vehicles in Jiangxi Province. The main work includes: cleaning the abnormal data of the original data, then fill in the missing data with the trend-history filling algorithm, and next calculating the speed time series in the cycle of 10 minutes. Finally, the support vector machine algorithm is used to predict the expressway traffic flow, and the prediction result is great. It can provide data foundation and technical support for decision management of traffic management departments.
引用
收藏
页码：322 / 326
页数：5
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