NDLI: Modelling traffic dynamics in motorway networks

Content Provider	IEEE Xplore Digital Library
Author	Fitzgerald, A. Moutari, S. Marshall, A.H.
Copyright Year	2012
Description	Author affiliation: Centre for Statistics and Operational Research, Queen's University Belfast, University Road, BT7 1NN, UK (Fitzgerald, A.; Moutari, S.; Marshall, A.H.)
Abstract	Due to the rapid growth of traffic density, the necessity to increase the operational efficiency and capabilities of intelligent transportation systems (ITSs) has led to the development of various traffic modelling theories. The Lighthill-Whithman and Richards (LWR) model [?, ?], uses fluid based partial differential equations to capture traffic dynamics along continuous stretches of road. In contrast to the LWR model, the artificial neural network model [?, ?] utilizes historical observations of traffic flow-rates to forecast flow-rate locally. This paper aims to introduce a new hybrid macroscopic model which combines the complementary features of the LWR and artificial neural network models, to effectively simulate traffic flow in road networks. The model developed in this paper demonstrates the ability to, within a certain degree of accuracy, forecast traffic flow in a road network that includes junctions and continuous stretches of road. Furthermore, the proposed model offers an appropriate trade-off between accuracy and computational complexity, therefore it is suitable for real time applications.
Starting Page	1834
Ending Page	1839
File Size	971592
Page Count	6
File Format	PDF
ISBN	9781467330640
ISSN	21530009
e-ISBN	9781467330633
e-ISBN	9781467330626
DOI	10.1109/ITSC.2012.6338708
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Roads Junctions Mathematical model Predictive models Artificial neural networks Computational modeling
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
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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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