Predicting Freeway Travel Time Using Multiple- Source Heterogeneous Data Integration

Predicting Freeway Travel Time Using Multiple- Source Heterogeneous Data Integration

Freeway travel time is influenced by many factors including traffic volume, adverse weather, accidents, traffic control, and so on. We employ the multiple source data-mining method to analyze freeway travel time. We collected toll data, weather data, traffic accident disposal logs, and other histori...

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Bibliographic Details
Main Authors: Kejun Long, Wukai Yao, Jian Gu, Wei Wu, Lee D. Han
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
Support Vector Machine
semantic technology
travel time
intelligent transportation system
artificial fish swarm algorithm
big data
Online Access:http://www.mdpi.com/2076-3417/9/1/104

Internet

http://www.mdpi.com/2076-3417/9/1/104

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