Yaozhenxing Associate professor

School of Highway

头像

Degree: Ph.D.

Graduate School: Southwest Jiaotong University

Email: yaotraffic@chd.edu.cn

Tel:

BirthDate: 1989-02-17

Office Location: School of Highway

The personal data

  • Department: School of Highway
  • Gender: male
  • BirthDate: 1989-02-17
  • Career: Associate professor
  • Degree: Ph.D.
  • Academic Credentials: Ph.D.
  • Graduate School: Southwest Jiaotong University
  • Tel:
  • Email: yaotraffic@chd.edu.cn
  • Address School: Middle Section of Nan Er Huan Road
  • PostCode School: 710064
  • Fax School:
  • Office Location: School of Highway
  • Education experience:

    B.S., Transportation Engineering, School of Transportation and Logistics, Southwest Jiaotong University, China, Sep. 2008- Jun.2012

    Joint Ph.D. Student, Transportation Engineering, Department of Civil and Environmental Engineering, University of Wisconsin-Madison, USA, Nov. 2016- Dec. 2017

    Ph.D., Transportation Engineering, School of Transportation and Logistics, Southwest Jiaotong University, China, Sep. 2012 - Jun. 2018


Resume

Zhenxing Yao is anassistant professor at Chang’an University China, Master supervisor. He got Bachelor Degree from Southwest Jiaotong University in 2012 and Ph.D. from Southwest Jiaotong University in 2018. His research is about Intelligent Transportation Systems (ITS), Mobile Traffic Sensor Modeling, Transportation Big Data Analytics, and Traffic Simulation.He has more than 8 years of experiences in transportation data management, data integration, and traffic management systems.He has served as aproject leader for multiple projects from the Ministry of Education China.Dr. Yao has published 2 books, and authored or co-authored nearly10 peer-reviewed journal articles, and Chinese patents. He has also given numerous presentations at state, national, and international conferences.


Social position

Committee member, Data-driven traffic management committee, World Transport Convention, 2017-present.

Reviewer for journal of Transportation Research Part C: Emerging Technologies, Journal of IEEE Transactions on Intelligent Transportation Systems, respectively


Research

Intelligent Transportation Systems; Big Data Mining;Cellphone Positioning Technology;

Open Course

Traffic Engineering; Introduction to Transportation Systems


Research project

Thesis

[1] Fei Yang, Zhenxing Yao, Yang Cheng, Bin Ran and Da Yang. Multimode Trip Information Detection Using Personal Trajectory Data. Journal of Intelligent Transportation Systems: Technology, Planning and Operations, Vol 20(5), 449-460, 2016. (SCI)

[2] Fei Yang, Zhenxing Yao, Peter J. Jin and Yang Da. Performance Evaluation of Handoff-based Cellular Traffic Monitoring Systems Using Combined Wireless and Traffic Simulation Platform, Journal of Intelligent Transportation Systems: Technology, Planning and Operations, Vol 20(2), 113-124, 2016.(SCI)

[3] Fei Yang, Zhenxing Yao and Peter J. Jin. GPS and Acceleration Data in Multimode Trip Data Recognition Based on Wavelet Transform Modulus Maximum Algorithm. Transportation Research Record, Issue 2526, 90-98, 2015.(SCI)


[4] Fei Yang, Lin Chen, Yang Cheng, Zhenxing Yao, Xu Zhang. Urban Public Transport Choice Behavior Analysis and Service Improvement Policy-making: A Case Study from the Metropolitan City, Chengdu. Journal of Applied Statistics, 42(4), 806-816, 2015. (SCI)

[5] Fei Yang, Zhenxing Yao, Peter Jin, Yaohua Xiong. Urban Arterial Link Travel Time Estimation Considering Traffic Signal Delays by Using Cellular Handoff Data, IET ITS, 2018. (SCI)

...

[1] Yao Zhenxing, Zhong Yu, Liao Qiang, Liu Haode, Yang Fei*. Understanding human activity and urban mobility patterns from massive cellphone data: platform design and applications. IEEE Intelligent Transportation Systems Magazine, 2019. (SCI)

[2] Yang Fei, Yao Zhenxing, Jin J. Peter, Xiong Yaohua*. Arterial link travel time estimation considering traffic signal delays using cellular handoff data. IET Intelligent Transport Systems, 2018, 13(3):461-468. (SCI)

[3] Yang Fei, Yao Zhenxing, Cheng Yang et al. Multimode trip information detection using personal trajectory data. Journal of Intelligent Transportation Systems: Technology, Planning and Operations, 2016, 20(5):449- 460. (SCI)

[4] Yang Fei, Yao Zhenxing, Jin J. Peter, Da Yang*. Performance evaluation of handoff-based cellular traffic monitoring systems using combined wireless and traffic simulation platform. Journal of Intelligent Transportation Systems: Technology, Planning and Operations, 2016, 20(2):113-124. (SCI)

[5] Yang Fei, Yao Zhenxing*, Jin Peter. GPS and acceleration data in multimode trip data recognition based on wavelet transform modulus maximum algorithm. Transportation Research Record, 2015, 2526:90-98. (SCI)

[6] Yang Fei, Chen Lin*, Cheng Yang, Yao Zhenxing, Zhang Xu. Urban public transport choice behavior analysis and service improvement policy-making: A case study from the metropolitan city, Chengdu. Journal of Applied Statistics, 2015, 42(4):806-816. (SCI)

[7] Shen Jian, Jiang Haihang, Yang Fei, Yao Zhenxing*. Trip mode recognition using smartphone sensor data under different sampling frequencies. Web Intelligence, 2019, 17(2):151-160. (EI)

[8] 杨飞姚振兴*刘强基于通信与交通集成仿真的手机切换数据平台北京理工大学学报(自然科学版) , 2012, 32:165-169. (EI)

[9] 杨飞姚振兴*基于手机传感器数据的出行特征提取方法城市交通, 2016, 14(1):9-14. (中文核心)

[10] Yao Zhenxing*, Wen Jianghui, Yang Fan, Jiang Haihang. Smartphone GPS Data in Mode Transfer Behavior Identification by A Two-step Mechanism. Presented at the 99th TRB annual meeting, 2020. (国际会议)

[11] Yao Zhenxing*, Jin J. Peter, Fei Yang. Trip End Identification Based on Spatial-Temporal Clustering Algorithm Using Smartphone GPS Data, Presented at the 3th World Transport Convention, 2019. (国际会议)

[12] Yao Zhenxing*, Zhou Jianyao, Jin J. Peter. GPS-based Travel Survey Method and Performance Evaluation Considering Key Influence Factors in Practical Application. Presented at the 98th TRB annual meeting, 2019. (国际会议)



Technological Achievements

Honor Reward

Work experience

Assistant Professor, School of Highway, Chang’an University, Jul. 2018-present, full time