NDLI: The implementation of Markov bias corrected grey system in freeway travel time prediction

Content Provider	IEEE Xplore Digital Library
Author	Yow-Jen Jou Tsu-Tian Lee Chien-Lun Lan Chien-Hao Hsu
Copyright Year	2003
Description	Author affiliation: Inst. of Stat., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Yow-Jen Jou)
Abstract	The purpose of this study is to develop a freeway travel time prediction model and, combined with real-time database, to obtain the most precise travel time prediction. First, a grey system theory for travel time prediction is developed, and then Markov Bias Correction mechanism is used for bias correction. Prediction is divided into "day-of-week" in time category because of that, travel time is corresponding to travel pattern and travel pattern itself is highly related to whether it is weekday or weekend. In the link section, this study divided the path into pairs of interchanges because of the information obtained. And then, construct a real-time database, and connect to Taiwan Area National Freeway Bureau via internet for real-time travel speed, and uses this information on freeway travel time prediction. Besides prediction, this study also uses this information for calibration.
Starting Page	832
Ending Page	835
File Size	166898
Page Count	4
File Format	PDF
ISBN	0780381254
DOI	10.1109/ITSC.2003.1252066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic control Differential equations Predictive models Databases Transportation Technology management Vehicle dynamics Control engineering Internet Intelligent systems
Content Type	Text
Resource Type	Article

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