Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimal Stacked Sparse Autoencoder Based Traffic Flow Prediction in Intelligent Transportation Systems Subject The topic of the resource Intelligent transportation system; Machine learning; Parameter optimization; Traffic flow prediction; Urban traffic flow Description An account of the resource Recently, intelligent transportations system (ITS) has gained significant internet due to the higher needs for road safety and competence in interconnected road network. As a vital portion of the ITS, traffic flow prediction (TFP) is offer support in several dimensions like routing, traffic congestion, and so on. To accomplish effective TFP outcomes, several predictive approaches have been devised namely statistics, machine learning (ML), and deep learning (DL). This study designs an optimal stacked sparse autoencoder based traffic flow prediction (OSSAE-TFP) model for ITS. The goal of the OSSAE-TFP technique is to determine the level of traffic flow in ITS. In addition, the presented OSSAE-TFP technique involves the traffic and weather data for TFP. Moreover, the SSAE based prediction model is designed for forecasting the traffic flow and the optimal hyperparameters of the SSAE model can be adjusted by the use of water wave optimization (WWO) technique. To showcase the enhanced predictive outcome of the OSSAE-TFP technique, a wide range of simulations was carried out on benchmark datasets and the results portrayed the supremacy of the OSSAE-TFP technique over the recent state of art methods. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Neelakandan S.; Prakash M.; Bhargava S.; Mohan K.; Robert N.R.; Upadhye S. Source A related resource from which the described resource is derived Studies in Systems, Decision and Control, Vol-412, pp. 111-127. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-94102-4_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-94102-4_6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126251862&amp;doi=10.1007%2F978-3-030-94102-4_6&amp;partnerID=40&amp;md5=7a15d16a26f28e13ae5c50f9ad6a79c8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126251862&amp;doi=10.1007%2f978-3-030-94102-4_6&amp;partnerID=40&amp;md5=7a15d16a26f28e13ae5c50f9ad6a79c8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21984182 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Neelakandan S., Department of Computer Science and Engineering, R.M.K. Engineering College, Chennai, India; Prakash M., Data Science and Analytics Center, Karpagam College of Engineering, Coimbatore, India; Bhargava S., Department of Computer Science and Engineering, Poornima College of Engineering, Rajasthan, Jaipur, India; Mohan K., Lecturer Information Technology, University of Technology and Applied Sciences, Shinas, Oman; Robert N.R., Department of Computer Science, Christ University, Bangalore, 560029, India; Upadhye S., Department of Computer Application, Shri Ramdeobaba College of Engineering and Management, Maharashtra, Nagpur, India