FENG ZIYAN头像

FENG ZIYAN

Lecturer

Research direction:

Education:

  • Department: School of Economics and Management
  • ORCID:
  • DBLP:

10 Access

  • Email: fengzy@buct.edu.cn
  • Office : 241 Wenli Building
  • Introduction
  • Research
  • Teaching
  • Funding
  • Publications
  • Awards
  • Honor Reward
  • Admission

Introduction

Assistant professor, School of Economics and Management, Beijing University of Chemical Technology.

Education

Work Experience

Social Position

Social Activities

Research

Data-driven decision-making, intelligent transportation management, etc.

Teaching

Data Processing Technology with Python

Postgraduates

Funding

Research on collaborative optimization of mixed passenger flow control and train timetabling under reservation scenario in the metro system, National Natural Science Foundation of China (Grant No.72401018), 2025.01-2027.12.


Study on capacity allocation optimization under the intensive high-speed railway with mixed passenger and freight, the State Key Laboratory of Rail Traffic Control and Safety (No. RCS2023K003), 2023.01-2024.12.


Research on prediction and decision shared bicycle data intelligence governance, the Fundamental Research Funds for the Central Universities (ZY2436), 2024.01-2024.12.

Vertical Project

Horizontal Project

Publications

[1] Li X, Zhao Y, Feng Z*. 2024. Customized bus service design with holding control and heterogeneous fleet: A column-generation-based decomposition algorithm. IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2024.3450526.

[2] Li X, Wang X, Feng Z*. 2024. Dynamic repositioning in bike-sharing systems with uncertain demand: An improved rolling horizon framework. Omega, 126, 103047.

[3] Feng Z, Li X*, et al. 2024. Transport capacity optimization for high-speed rail network considering flexible train composition and additional capacity pool. Information Sciences, 680, 121175.

[4] Feng Z, Chang X, Wu J*. 2024. Integrated optimization of transport capacity and train timetabling with time-dependent passenger demand. International Journal of General Systems, doi:10.1080/03081079.2024.2356129.

[5] Feng Z, Cao C*, et al. 2023. Uncertain demand based integrated optimization for train timetabling and coupling on high-speed rail network. International Journal of Production Research, 61(5): 1532-1555.

[6] Cao C*, Feng Z. 2020. Optimal capacity allocation under random passenger demands in the high-speed rail network. Engineering Applications of Artificial Intelligence, 88: 103363.


Awards

Patent

Honor Reward

Admissions Information