-Cui, X., Gao, J., & Wang, Y. (2010). Research of Bus Rapid Transportation based on “Public transportation first”. In 2010 International Conference on Future Information Technology and Management Engineering, IEEE. Vol. 1, 174-177.
-Dong, X., Xiong, G., Fan, D., Zhu, F., & Lv. Y. (2011). Research on bus rapid transit (BRT) and its real-time scheduling. In Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics, IEEE. 342-346.
-Firozbakht, E., Ebrahimzadeh, M. A., & Koulivand, H. (2025). Optimizing the Placement of Bus Stations in Urban Transportation Using Neural Network Algorithms to Minimize Traffic Delays. Road.
-Gong, Z., Du, B., Liu, Z., Zeng, W., Perez, P., & Wu, K. (2020). SD-seq2seq: a deep learning model forbus bunching prediction based on smart card data. Paper presented at the 2020 29th International Conference on Computer Communications and Networks (ICCCN).
-Hook, W., & Wright, L. (2007). Bus rapid transit: planning guide (Institute for Transportation and Development Policy: ITDP).
-Levinson, H. S., Zimmerman, S., Clinger, J., & Rutherford, H. C. S. (2002). Bus rapid transit: An overview. Journal of Public Transportation, 5(2), 1-30.
-Lin, D. Y., & Ku, Y. H. (2014). Using genetic algorithms to optimize stopping patterns for passenger rail transportation. Computer‐Aided Civil and Infrastructure Engineering, 29(4), 264-278.
-Liyanage, S., Abduljabbar, R., Dia, H., & Tsai, P. W. (2022). AI-based neural network models for bus passenger demand forecasting using smart card data. Journal of Urban Management, 11(3), 365-380.
-Sun, W. X., Song, T., & Zhong, H. (2009, April). Study on bus passenger capacity forecast based on regression analysis including time series. In 2009 International Conference on Measuring Technology and Mechatronics Automation, IEEE. Vol. 2, 381-384.
-Zhang, J., Shen, D., Tu, L., Zhang, F., Xu, C., Wang, Y. & Li, Z. (2017). A real-time passenger flow estimation and prediction method for urban bus transit systems. IEEE Transactions on Intelligent Transportation Systems, 18(11), 3168-3178.
-Zhao, S. Z., Ni, T. H., Wang, Y., & Gao. X. T. (2011). A new approach to the prediction of passenger flow in a transit system. Computers & Mathematics with Applications, 61(8),1968-1974.
-Yang, Y., Yuan, Z. Z., Li, J. Y., Wang, Y. H., & Wang, W. C. (2018). Multi-mode public transit OD prediction and scheduling model. Advances in Transportation Studies, 3(Special Issue 2018).
