New Deep Learning-Based Passenger Flow Prediction Model

Author:

Utku Anıl1,Kaya Sema Kayapinar2ORCID

Affiliation:

1. Department of Computer Engineering, Munzur University, Tunceli, Turkey

2. Department of Industrial Engineering, Munzur University, Tunceli, Turkey

Abstract

The ability to predict passenger flow in transport networks is an important aspect of public transport management. It helps improve transport services, aids those responsible for management to obtain early warning signals of emergencies and unusual circumstances and, in general, makes cities smarter and safer. This paper develops a long short-term memory-based (LTSM-based) deep learning model to predict short-term transit passenger volume on transport routes in Istanbul. This prediction model has been created using a dataset that included the number of people who used different transit routes in Istanbul at one-hour intervals between January and December 2020. The proposed multilayer LSTM-based deep learning model has been compared with popular models such as random forest (RF), support vector machines, autoregressive integrated moving average, multilayer perceptron, and convolutional neural network. The experimental findings showed that the proposed multilayer LSTM-based deep learning model outperformed the other models with regard to prediction for each transfer route. Furthermore, RF, one of the machine learning models used, produced remarkably successful results.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference31 articles.

1. Statista Demographies. Largest Urban Agglomerations in Europe in 2020. https://www.statista.com/statistics/1101883/largest-european-cities/. Accessed July 20, 2021.

2. TUIK. Adrese Dayalı Nüfus Kayıt Sistemi Sonuçları, 2020. https://data.tuik.gov.tr/Bulten/Index?p=Adrese-Dayal%C4%B1-N%C3%BCfus-Kay%C4%B1t-Sistemi-Sonu%C3%A7lar%C4%B1-2020-37210&dil=1. Accessed August 3, 2021.

3. Deep learning

4. Deep Learning Based Effective Weather Prediction Model for Tunceli City

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