Phd Admission
Published:
Admitted to Ph.D. Program, 9 May 2024 | I was admitted to the Ph.D. program in Urban Mobility at Tongji University. [Admission Notice]
Published:
Admitted to Ph.D. Program, 9 May 2024 | I was admitted to the Ph.D. program in Urban Mobility at Tongji University. [Admission Notice]
Published:
Join TESLA, 26 August 2024 | I joined TESLA—Transport and Energy Systems Laboratory—under the supervision of Professor Chi Xie, opening a new chapter in my research in operations research.
Published:
Paper accepted by TP, 21 September 2025 | The research paper “Incorporating revenue loss and congestion cost into rail freight subsidy design: Lessons learned from the China-Europe freight transportation network”, with my supervisor as the first author and me as the second author, is accepted by Transport Policy (SSCI, IF=5.3, CAS Tier 1-Top). [PDF]
Published:
Paper accepted by TRB 2026, 29 October 2025 | My research paper “Mitigating revenue loss and congestion surcharge by rail freight subsidy optimization in a multimodal multicommodity freight transportation market” is accepted by the 105th Annual Meeting of the Transportation Research Board. [PDF]
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Published in Noise & Vibration Worldwide, 2022
Recommended citation: Wang, R., & Huang, J. (2022). Numerical investigation into characteristics of far-field aerodynamic noise radiated by inter-coach space of high-speed maglev trains. Noise & Vibration Worldwide, 53(9-10), 464-479. https://doi.org/10.1177/09574565221128063
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Published in Noise & Vibration Worldwide, 2024
Recommended citation: Wang, R., & Huang, J. (2024). Interior noise prediction of inter-coach space of high-speed maglev trains based on wavenumber decomposition on aerodynamic excitation. Noise & Vibration Worldwide, 55(6-7), 304-321. https://doi.org/10.1177/09574565241252989
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Published in Transport Policy, 2025
This study addresses the freight subsidy optimization problem based on a multimodal multicommodity network equilibrium model. Mitigating the revenue loss of the carrier and the congestion surcharge of shippers are considered simultaneously. The proposed optimization scheme is benchmarked against the currently implemented subsidy scheme to demonstrate its effectiveness.
Recommended citation: Xie, C., Wang, R., Wang, D., Zou, B., Fu, X., Chen, X., & Lu, Q.-C. (2025). Incorporating revenue loss and congestion cost into rail freight subsidy design: Lessons learned from the China-Europe freight transportation network. Transport Policy, 174, 103819. https://doi.org/10.1016/j.tranpol.2025.103819
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Published in 105th Annual Meeting of the Transportation Research Board, 2026
This study particularly analyzes the impact of adjusting the tradeoff between the interest of the carrier and shippers in freight subsidy design. It extends to detail the efficient algorithm from our Transport Policy journal paper, providing its full mathematical formulation.
Recommended citation: Wang, R., Xie, C., Zou, B., & Fu, X. (2026). Mitigating revenue loss and congestion surcharge by rail freight subsidy optimization in a multimodal multicommodity freight transportation market. [Paper presentation]. 105th Annual Meeting of the Transportation Research Board, Washington, D.C., U.S.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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