A Visual Analytics Approach for Inferring Passenger Demand in Public Transport System Based on Bus Trajectory-Reference-Cited by-同舟云学术

A Visual Analytics Approach for Inferring Passenger Demand in Public Transport System Based on Bus Trajectory

Published:2022-06-01 Issue:6 Volume:33 Page:1711-1723
ISSN:2195-3880
Container-title:Journal of Control, Automation and Electrical Systems
language:en
Short-container-title:J Control Autom Electr Syst

Author:

Tonioli Mariotto Flávio^ORCID,Ugarte Luis Fernando,Alves Lima Zaneti Letícia,Lacusta Eduardo,Cortes de Almeida Madson

Funder

Companhia Energética de São Paulo

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s40313-022-00908-z.pdf

Reference40 articles.

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2. Barbosa, R., Sousa, R., Oliveira, F., Oliveira, H., Luz, P., & Manera, L. T. (2018). Circulino: An iot solution applied in the university transport service. In Brazilian Technology Symposium (pp. 503–514). Springer.

3. Bhaskar, A., Chung, E., et al. (2014). Passenger segmentation using smart card data. IEEE Transactions on Intelligent Transportation Systems, 16(3), 1537–1548.

4. Brakewood, C. E. (2014). Quantifying the impact of real-time information on transit ridership. PhD thesis, Georgia Institute of Technology.

5. Chen, W., Guo, F., & Wang, F. Y. (2015). A survey of traffic data visualization. IEEE Transactions on Intelligent Transportation Systems, 16(6), 2970–2984. https://doi.org/10.1109/TITS.2015.2436897

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