Zhangyuting Associate professor

头像

Degree: Ph.D.

Graduate School: Beijing Jiaotong University

Email: ytzhang@chd.edu.cn

Tel:

BirthDate: 1991-04-25

Office Location:

The personal data

  • Department:
  • Gender: female
  • BirthDate: 1991-04-25
  • Career: Associate professor
  • Degree: Ph.D.
  • Academic Credentials:
  • Graduate School: Beijing Jiaotong University
  • Tel:
  • Email: ytzhang@chd.edu.cn
  • Address School:
  • PostCode School:
  • Fax School:
  • Office Location:
  • Education experience:

Resume

Social position

Research

Traffic safety; Driving behavior; Intelligent transportation system; Traffic planning

Open Course

Research project

2019-2020, The Fundamental Research Funds for the Central Universities (300102219114)

Thesis

Yuting Zhang, Xuedong Yan, Xiaomeng Li. Effect of warning message on driver’ s stop/go decision and red-light-running behaviors under fog condition. Accident Analysis & Prevention, 2021, 150, 105906.


Yuting Zhang, Xuedong Yan, Xiaomeng Li, Jiawei Wu. Changes of drivers’ visual performances when approaching a signalized intersection under different collision avoidance warning conditions. Transportation Research Part F: Traffic Psychology and Behaviour, 2019.

  

Yuting Zhang, Xuedong Yan, Xiaomeng Li, Jiawei Wu, Vinayak V. Dixit. Red-light-running Crashes' Classification, Comparison and Risk Analysis Based on GES Crash Database. International Journal of Environmental Research and Public Health, 2018, 15(6), 1290.


Yuting Zhang, Xuedong, Yan, Xiaomeng Li, Qingwan Xue. Drivers' eye movements as a function of collision avoidance warning conditions in red light running scenarios. Accident Analysis and Prevention, 2016, 96, 185-197.

  

Xuedong Yan, Yuting Zhang, Lu Ma. The influence of in-vehicle speech warning timing on drivers’ collision avoidance performance at signalized intersections. Transportation Research Part C: Emerging Technologies, 2015, 51, 231-242.



Technological Achievements

Honor Reward

*Second Prize of ChinaSimulationFederation science and technology award, for “Scenario Modeling and Driving Behavior Experiments Based on the High-Fidelity Driving Simulation Platform”, 2018


Work experience