NDLI: A study of travel time modeling via time series analysis

Content Provider	IEEE Xplore Digital Library
Author	Jiann-Shiou Yang
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Minnesota Univ., Duluth, MN (Jiann-Shiou Yang)
Abstract	Travel time information is a good operational measure of the effectiveness of transportation systems and can be used to detect incidents and quantify congestion. The ability to accurately predict freeway and arterial travel times in transportation networks is a critical component for many intelligent transportation systems (ITS) applications (e.g., advanced traffic management systems, in-vehicle route guidance systems). This paper focuses on the arterial travel time modeling by studying the travel time data, modeling and diagnostic checking so that short-term travel time can be predicted with reasonable accuracy. A 3.7-mile corridor on Minnesota State Highway 194 is chosen as our test site. The Global Positioning System (GPS) probe vehicle method is used in our data collection. The time series analysis techniques are then used in our model building, in particular, we focus on the autoregressive integrated moving average (ARIMA) model. Finally, the model established for each road section is verified via both the residual analysis and portmanteau lack-of-fit test. The near term goal of this study is to use the developed models to predict section travel times with reasonable accuracy
Starting Page	855
Ending Page	860
File Size	216869
Page Count	6
File Format	PDF
ISBN	0780393546
DOI	10.1109/CCA.2005.1507236
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-28
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time series analysis Predictive models Traffic control Intelligent transportation systems Testing Global Positioning System Time measurement Intelligent networks Telecommunication traffic Accuracy
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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