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A PSO-SVM Model for Short-Term Travel Time Prediction Based on Bluetooth Technology

Qun Wang Zhuyun Liu Zhongren Peng

哈尔滨工业大学学报（英文版）Issue(3)：7-14,8.

哈尔滨工业大学学报（英文版）Issue(3)：7-14,8.DOI:10.11916/j.issn.1005-9113.2015.03.002

A PSO-SVM Model for Short-Term Travel Time Prediction Based on Bluetooth Technology

Qun Wang ¹Zhuyun Liu ²Zhongren Peng¹

作者信息

1. Center for ITS and UAV Applications Research, Shanghai Jiao Tong University, Shanghai 200240, China
2. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
折叠

摘要

关键词

urban arterials/travel time prediction/Bluetooth detection/support vector machine ( SVM )/particle swarm optimization( PSO)

Key words

urban arterials/travel time prediction/Bluetooth detection/support vector machine ( SVM )/particle swarm optimization( PSO)

分类

交通工程

引用本文复制引用

Qun Wang,Zhuyun Liu,Zhongren Peng..A PSO-SVM Model for Short-Term Travel Time Prediction Based on Bluetooth Technology[J].哈尔滨工业大学学报（英文版）,2015,(3):7-14,8.

基金项目

Sponsored by the National Natural Science Foundation of China （ Grant No．71101109）．（）

哈尔滨工业大学学报（英文版）

ISSN：1005-9113

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