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Prediction of Bus Arrival Time Using Intelligent Computing Methods

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Pervasive Computing: A Networking Perspective and Future Directions

Abstract

Bus transportation plays a vital role in recent society. If the arrival time of buses at their respective destinations is accurate, the usage of private vehicles, fuel consumption, and traffic congestion can be reduced. In today era, most of the industries, universities, colleges, etc., provide the facility of transportation to their employees, staff, and students to pick up and drop from the prescheduled stoppages. Objective of this research is to exploit the artificial neural network (ANN) model techniques on the collected historical data using GPS. In this work, artificial neural network (ANN) and radial basis function (RBF) have been applied to collected data through GPS. In this work, the model is evaluated against standard feed-forward back-propagation algorithm (BPA) and radial basis function (RBF), which is used for prediction of bus arrival/departure time using five-month historical data of Lovely Professional University, Phagwara (Punjab), and reached the conclusion that radial basis function (RBF) is observed as the most intelligent model used in the computing bus arrival time using unpredictable factors as compared to back-propagation algorithm. Real-time prediction of bus arrival time has a number of applications for cargo delivery, transit services, and area of logistics.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Lovely Professional University, Jalandhar, 144411, India

    Aditya Khamparia

  2. Department of Quality Assurance (Academics), Lovely Professional University, Jalandhar, 144411, India

    Rubina Choudhary

Authors
  1. Aditya Khamparia
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  2. Rubina Choudhary
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Correspondence to Aditya Khamparia .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Deepshikha Bhargava

  2. Amity Institute of Information Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Sonali Vyas

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Khamparia, A., Choudhary, R. (2019). Prediction of Bus Arrival Time Using Intelligent Computing Methods. In: Bhargava, D., Vyas, S. (eds) Pervasive Computing: A Networking Perspective and Future Directions. Springer, Singapore. https://doi.org/10.1007/978-981-13-3462-7_12

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  • DOI: https://doi.org/10.1007/978-981-13-3462-7_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3461-0

  • Online ISBN: 978-981-13-3462-7

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