Liu Yutong

Subject

Management Science and Engineering

Tittles

Lecturer

Tel.

Email

Yutongliu_2016@

Academic Qualifications

Postgraduate

Academic Degree

Doctor of Science

Postcode

101149

Office location

Logistics school 206

Address

321 Fuhe Street, Tongzhou District, Beijing

Main Experience

2015.09-2021.03 Doctor of Science in System Science, Beijing Jiaotong University

2013.9 to 2015.7, master's degree in control science and engineering of Beijing Jiaotong University

2007.09-2011.07 Bachelor of Transportation Engineering, Shijiazhuang Railway University

Research Direction

Railway transportation, multi-mode transportation

Academic Achievements

[1]Yutong Liu,Chengxuan Cao,Ziyan Feng,Yaling Zhou. A Cost and Passenger Responsible Optimization Method for the Operation Plan of Additional High-speed Trains in a Peak Period.Journal of Advanced Transportation,2020. (SCI)

[2]Yutong Liu,Chengxuan Cao,Ziyan Feng,Yaling Zhou. A Multi-Objective Train Operational Plan Optimization Approach for Adding Additional Trains on a High-Speed Railway Corridor in Peak Periods.Applied Sciences,2020. (SCI)

[3]Yutong Liu,Chengxuan Cao,Yaling Zhou,Ziyan Feng,.A Real-Time Control Method-Based Simulation for High-Speed Trains on Large-Scale Rail Network.International Journal of Modern Physics C, 2017. (SCI)

[4]Ziyan Feng,Chengxuan Cao,Yutong Liu,Yaling Zhou. Train Delay Propagation under Random Interference on the High-Speed Rail Network.International Journal of Modern Physics C, 2018. (SCI)

[5] Li Haonan, Cao Chengxuan, Liu Yutong, et al Multi mode urban traffic network path decision considering uncertainty [J] Science, Technology and Engineering, 2019, 19 (12): 324-329

Research Achievements

[1] Presided over the basic scientific research projects of central colleges and universities, and the research on optimization of temporary high-speed passenger train operation scheme under peak passenger flow demand (2018YJS190),

[2] The first participant in the national key experimental project, Research on Train Operation Optimization Scheme Based on Dynamic Passenger Flow in High speed Railway Network (RCS2019ZT003)

[3] National key laboratory project, research on train operation route selection in high-speed railway network based on multi-objective planning (RCS2017ZT012), the first participant

[4] Participated in the research on the urban joint distribution mechanism and mode for small and medium-sized e-commerce enterprises by the Beijing Municipal Science and Technology Commission (Z131100005613038),

[5] Participated in the national high-tech research and development plan ("863") theme project "Regional traffic network intelligent guidance control technology (2011AA110303).

Awards

Social Appointments