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 Articles Article Faculty Publications -Articles 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 JP-DAP: An Intelligent Data Analytics Platform for Metro Rail Transport Systems Subject The topic of the resource Big data analytics; Hadoop; intelligent transport systems; machine learning; metro rail; TestDFSIO Description An account of the resource This paper deals with an intelligent data analytics platform-Jaison-Paul Data Analytics Platform (JP-DAP)-for metro rail transport systems. JP-DAP is intended to ensure smooth functioning, improved customer experience, ridership forecasting, and efficient administration of metro rail transportation systems by integrating and analysing its many data sources. It consists of a middleware which is built on the top of a Hadoop Distributed File System (HDFS) and Spark framework, along with a set of open-source software tools like Apache Hive, Pandas, Google TensorFlow and Spark ML-lib for real-time and legacy data processing. The benchmarking of JP-DAP was conducted using TestDFSIO and have found that it performs well according to industry standards. The specific use case for this project is Kochi Metro Rail Limited (KMRL). The analysis of Automated Fare Collection data from KMRL on JP-DAP framework have produced descriptive statistics visualisation of inflow and outflow analysis, travel patterns during weekdays and weekends, origin-destination matrix, etc.. Moreover JP-DAP framework is capable of producing short term passenger flow predictions using SVR machine learning algorithm with linear, radial basis function and polynomial kernels. Our experiments have shown that SVR linear kernel gives the most accurate results with the least errors in predicting the next day's passenger count using the previous five weekdays data. The station usage (one-to-all) prediction using Long Short-Term Memory (LSTM) is also integrated to this framework. The visualisation as well as analytical outcomes of JP-DAP framework have also been made available to the external world using a rich set of REST APIs and are projected on to a web-dashboard. 2000-2011 IEEE. Creator An entity primarily responsible for making the resource Mulerikkal J.; Thandassery S.; Dixon K D.M.; Rejathalal V.; Ayyappan B. Source A related resource from which the described resource is derived IEEE Transactions on Intelligent Transportation Systems, Vol-23, No. 7, pp. 9146-9156. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. 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/10.1109/TITS.2021.3091542" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TITS.2021.3091542</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113196240&amp;doi=10.1109%2FTITS.2021.3091542&amp;partnerID=40&amp;md5=1491387c02b153ac72ea7f197f0f88fd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113196240&amp;doi=10.1109%2fTITS.2021.3091542&amp;partnerID=40&amp;md5=1491387c02b153ac72ea7f197f0f88fd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15249050 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mulerikkal J., The Department of Computer Science, Rajagiri School of Engineering and Technology, Kochi, 682039, India; Thandassery S., The Department of Computer Science, Rajagiri School of Engineering and Technology, Kochi, 682039, India, The Department of Computer Science, Christ-Deemed to Be University, Bengaluru, 560029, India; Dixon K D.M., The Department of Computer Science, Jyothi Engineering College, Thrissur, 679531, India; Rejathalal V., The Department of Computer Science, Jyothi Engineering College, Thrissur, 679531, India; Ayyappan B., The Department of Information Technology, Rajagiri School of Engineering and Technology, Kochi, 682039, India