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 Passenger flow prediction from AFC data using station memorizing LSTM for metro rail systems Subject The topic of the resource Forecast; LSTM; Metro rail transport; Passenger flow Description An account of the resource Metro rail systems are increasingly becoming relevant and inevitable in the context of rising demand for sustainable transportation methods. Metros are therefore going to have a consistently expanding user-base and hence user satisfaction will require meticulous planning. Usage forecast is clearly an integral component of metro planning as it enables forward looking and efficient allocation of resources leading to greater commuter satisfaction. An observation from studying the usage of Kochi Metro Rail Ltd. is that there is a consistently occurring temporal pattern in usage for every station. But the patterns differ from station to station. This hinders the search for a global model representing all stations. We propose a way to overcome this by using station memorizing Long Short-Term Memory (LSTM) which takes in stations in encoded form as input along with usage sequence of stations. This is observed to significantly improve the performance of the model. The proposed architecture with station parameter is compared with algorithms like SVR (support vector regression) and neural network implementation with the best architecture to testify the claim. The proposed model can predict the future flow with an error rate of 0.00127 MSE (mean squared error), which is better than the other models tested. CTU FTS 2021. Creator An entity primarily responsible for making the resource Sajanraj T.D.; Mulerikkal J.; Raghavendra S.; Vinith R.; Fabera V. Source A related resource from which the described resource is derived Neural Network World, Vol-31, No. 3, pp. 173-189. Publisher An entity responsible for making the resource available Czech Technical University in Prague Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14311/NNW.2021.31.009" target="_blank" rel="noreferrer noopener">https://doi.org/10.14311/NNW.2021.31.009</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115448147&amp;doi=10.14311%2FNNW.2021.31.009&amp;partnerID=40&amp;md5=52d718798ec7af2d62db4bd19fcdaa6a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115448147&amp;doi=10.14311%2fNNW.2021.31.009&amp;partnerID=40&amp;md5=52d718798ec7af2d62db4bd19fcdaa6a</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 12100552; CODEN: NNWOF 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 Sajanraj T.D., Department of Computer Science, Christ Deemed to be University, Bengaluru, India, Rajagiri School of Engineering &amp; Technology (Autonomous), Rajagiri Valley, Kakkanad, Kochi, India; Mulerikkal J., Department of Computer Science, Rajagiri School of Engineering &amp; Technology (Autonomous), Rajagiri Valley, Kakkanad, Kochi, India; Raghavendra S., Department of Computer Science, Christ Deemed to be University, Bengaluru, India; Vinith R., Department of Computer Science, Jyothi Engineering College, Cheruthuruthy, Kerala, Thrissur, India; Fabera V., Department of Applied Informatics in Transportation, Czech Technical University in Prague, Prague, Czech Republic