1. Adler, J. L., Satapathy, G., Manikonda, V., bowles, B., and Blue, V. J. (2005). “A multi-agent approach to cooperative traffic management and route guidance.” Transportation Research Part B, vol. 39, no. 4, pp. 297–318. DOI: 10.1016/j.trb.2004.03.005.
2. Albrecht, A. R., Panton, D. M., and Lee, D. H. (2013). “Rescheduling rail networks with maintenance disruptions using Problem Space Search.” Computers & Operations Research, vol. 40, no. 3, pp. 703–712. DOI: 10.1016/j.cor.2010.09.001.
3. Chen, F., Shen, X., Wang, Z., and Yang, Y. (2017). “An evaluation of the low-carbon effects of urban rail based on mode shifts.” Sustainability, Vol. 9, No. 3, p. 401, DOI: 10.3390/su9030401.
4. Corman, F., Ariano, D. A., Pranzo, M., and Hansen, I. A. (2011). “Effectiveness of dynamic reordering and rerouting of trains in a complicated and densely occupied station area.” Transportation Planning & Technology, vol. 34, no. 4, pp. 341–362. DOI: 10.1080/03081060.2011.577152.
5. Dong, H., Kang, H. F., Liao, Q., and Li, X. (2016). “The model and application of train delay on the basis of multi—agent for urban rail transit.” Urban Rapid Rail Transi, no. 3, pp. 42–46. DOI: 10.3969/j.issn.1672-6073.2016.03.011.