Taoran Song is currently a Ph.D. candidate in Railway Engineering at the Central South University (CSU), Changsha, China. In 2017, He graduated from the “Zhan Tianyou” Class in School of Civil Engineering, CSU and received his Bachelor’s Degree of Civil Engineering. Since then, he has been focused on Intelligent Railway Alignment Optimization. In this field, his research interests include (1) Railway/highway alignment design, Existing railway reconstruction, Station location design; (2) Multi-objective optimization, Robust optimization, Geo-hazard risk evaluation; (3) Evolution algorithm, Swarm intelligence, Parallel computation, Deep learning.

He has now published 20 papers (including 15 SCI-index ones), four Chinese patents, and one Software Copyright. In March 2022, Taoran Song joined Prof. Tony Yang’s research team at the University of British Columbia as a one-year Visiting Researcher to study the research topic of “Railway Alignment Optimization Seismic Risk Assessment”.

ResearchGate

 

MAJOR RESEARCH INTERESTS

 Railway/highway alignment design; Existing railway reconstruction; Station location design

 Multi-objective optimization; Robust optimization; Geo-hazard risk evaluation

 Evolution algorithm; Swarm intelligence; Parallel computation; Deep learning

 

EDUCATION

 9/2017-Present, Ph.D. Candidate, Transportation Engineering, Central South University, China

 9/2013-6/2017, B.E., Civil Engineering (“Zhan Tianyou” Class), Central South University, China

 

SELECTED PUBLICATIONS

[1]     Song, T., Pu, H., Schonfeld, P., Liang, Z., Zhang, M., Hu, J., Zhou, Y., Xu, Z. (2022). Mountain Railway Alignment Optimization Integrating Layouts of Large-scale Auxiliary Construction Projects. Computer-aided Civil and Infrastructure Engineering. DOI: 10.1111/mice.12839. (Q1, IF = 11.775)

[2]     Song, T., Pu, H., Schonfeld, P., Zhang, H., Li, W., Hu, J. (2021). Simultaneous Optimization of 3-D Alignments and Station Locations for Dedicated High-Speed Railways. Computer-aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.12739 (Q1, IF = 11.775)

[3]     Song, T., Pu, H., Schonfeld, P., Zhang, H., Li, W., Hu, J., Wang, J. (2021). Bi-objective Mountain Railway Alignment Optimization Incorporating Seismic Risk Assessment. Computer-aided Civil and Infrastructure Engineering. 36: 143-163. (Q1, IF = 11.775)

[4]     Song, T., Pu, H., Schonfeld, P., Zhang, H., Li, W., Hu, J., Wang, J. (2020). Mountain Railway Alignment Optimization Considering Geological Impacts: A Cost-hazard Bi-objective Model. Computer-aided Civil and Infrastructure Engineering, 35: 1365-1386. (Q1, IF = 11.775)

[5]     Pu H., Song T., Schonfeld P., Li, W., Zhang, H., Wang, J., Hu, J., Peng, X. (2019). A Three-dimensional Distance Transform for Optimizing Constrained Mountain Railway Alignments. Computer-aided Civil and Infrastructure Engineering. 34:972-990. (Q1, IF = 11.775)

[6]     Song, T., Pu, H., Schonfeld, P., Zhang. H., Li, W., Peng, X., Hu, J., Liu, W. (2021) GIS-based Multi-criteria Railway Design with Spatial Environmental Considerations. Applied Geography. 31, 102449. (Q1, IF = 4.240)

[7]     Pu, H., Song, T., Schonfeld, P., Li, W., Zhang, H., Hu, J., Peng, X., Wang, J. (2019). Mountain Railway Alignment Optimization Using Stepwise & Hybrid Particle Swarm Optimization Incorporating Genetic Operators. Applied Soft Computing, 78, 41-57. (Q1, IF = 6.725)

[8]     Song, T., Pu, H., Schonfeld, P., Hu, J. (2022). Railway Alignment Optimization Under Uncertainty with a Minimax Robust Method. IEEE Intelligent Transportation Systems Magazine. DOI: 10.1109/MITS.2022.3146143.

[9]     Pu, H., Xie, J., Schonfeld, P., Song, T.*, Li, W., Wang, J., Hu, J. (2020). Railway Alignment Optimization in Mountainous Regions Considering Spatial Geological Hazards: A Sustainable Safety Perspective. Sustainability 2021, 13, 1661. (Q2, IF = 3.251)

[10] Song, T., Pu, H., Schonfeld, P., Li, W., Zhang, H., Ren, Y., Wang, J., Hu, J., Peng, X. (2020). Parallel Three-dimensional Distance Transform for Railway Alignment Optimization Using OpenMP. Journal of Transportation Engineering Part A: Systems, 146(5): 04020029. (Q3, IF = 1.774)

[11] Song, T., Pu, H., Schonfeld, P., Hu, J., Liu, J. (2021). Robust Optimization Method for Mountain Railway Alignments Considering Preference Uncertainty for Costs and Seismic risks. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. DOI: 10.1061/AJRUA6.0001207. (Q3, IF = 1.926)

[12] Song, T., Pu, H., Li, W., Zhang, H., Wang, J., Hu, J., Peng, X. (2018). Optimization of Railway Alignments in Complex Mountainous Regions. Proceedings of International Conference on Computers and Industrial Engineering, University of Auckland, New Zealand. (EI Conference)

[13] Zhang, H., Pu, H., Schonfeld, P., Song, T., Li, W., Wang, J., Peng, X., Hu, J. (2020). Multi-objective Railway Alignment Optimization Considering Costs and Environmental Impacts, Applied Soft Computing 89 106105. (Q1, IF = 6.725)

[14] Zhang, H., Pu, H., Schonfeld, P., Song, T., Li, W., Hu, J. (2021). Railway Alignment Optimization Considering Life-cycle Costs. IEEE Intelligent Transportation Systems Magazine. DOI: 10.1109/MITS.2021.3071032 (Q2, IF = 3.419)

[15] Pu, H., Zhao, L., Li, W., Zhang, J., Zhang, Z., Liang, J., Song, T. (2019). A Global Iterations Method for Recreating Railway Vertical Alignment Considering Multiple Constraints. IEEE Access, 7: 121199-121211. (Q2, IF = 3.367)

[16] Pu, H., Liang, Z., Schonfeld, P., Li, W., Wang, J., Zhang, H., Song, T., Wang, J., Hu, J., Peng, X. (2021). Optimization of Grade-separated Road and Railway Crossings Based on a Distance Transform Algorithm, Engineering Optimization, DOI: 10.1080/0305215X. 2020.1861264 (Q2, IF = 3.230)

[17] Zhang, H., Pu, H., Li, W., Song, T., Wang, J., Hu, J., Peng, X. (2018). Multi-objective Optimization of Railway Alignment with Distance Transform and Particle Swarm Optimization. Proceedings of International Conference on Computers and Industrial Engineering, University of Auckland, New Zealand. (EI Conference)

[18] He, Y., Huang, G., Song, T., Wang, Q., Li, Y., Tang, X. (2019). Methodology for Alignment Optimization of High-speed Railway Construction Access Roads Based on a Generalized Distance Transform. Journal of Railway Science and Engineering, 16(07):1645-1651. (in Chinese)

 

SELECTED AWARDS

 The Special Prize for scientific and technological progress of “China Communications and Transportation of Association” in 2019, CE-S-2019001-R16.

 The First Prize of scientific and technological progress of “China Railway Group Limited” in 2019, 2019-1-29-R15.

 2019 Doctoral National Scholarship, Ministry of Education of the People’s Republic of China.