NDLI: Predicting experienced travel time with neural networks: a PARAMICS simulation study

Content Provider	IEEE Xplore Digital Library
Author	Mark, C.D. Sadek, A.W. Rizzo, D.
Copyright Year	2004
Description	Author affiliation: Vermont Univ., Burlington, VT, USA (Mark, C.D.)
Abstract	The implementation of intelligent transportation systems (ITS) in recent years has resulted in the development of systems capable of monitoring roadway conditions and disseminating traffic information to travelers in a network. However, the development of algorithms and methodologies specialized in handling large amounts of data for the purpose of real-time control has lagged behind the sensing and communication technological developments in ITS. In this study, data generated by a PARAMICS model of a real-world freeway section are used to develop an artificial neural network (ANN) capable of predicting experienced travel time between two points on the transportation network. Computational experiments demonstrate that the studied ANNs were able to reasonably predict the experienced travel time. Generally, the study shows that the length of the time lag did not have a statistically significant effect on ANN performance, that speed appears to be the most influential input variable, and no statistically significant difference in ANN performance was observed when data from the left lane loop detector was substituted for data from the right lane loop detector.
Starting Page	906
Ending Page	911
File Size	450963
Page Count	6
File Format	PDF
ISBN	0780385004
DOI	10.1109/ITSC.2004.1399025
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Predictive models Artificial neural networks Intelligent transportation systems Traffic control Intelligent networks Road transportation Condition monitoring Communication system traffic control Communication system control
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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