Gender

Female

Professional Title

Lecturer

Departments

School of Automotive and Traffic Engineering

TEL

18852868509

E-mail

x_xiong623@163.com

Short Biography

2019.03~now    School   of Automotive and Traffic Engineering, Jiangsu University, Lecturer

2015.09-2018.12 Transportation   Engineering, Jiangsu University, Ph.D.

2018.02-2018.09 Department of   Transport Planning, Delft University of Technology, Visiting Scholar

2014.03-2015.08 School of   Transportation, Ningbo University of Technology, Teaching Assistant

2010.08-2012.05 Transportation   Engineering, University of Texas at Austin, Master

2005.09-2009.06 Transportation   Engineering, Southeast University, Bachelor

Research Fields

Research interests include: road   traffic safety and management, vehicle active safety technology, machine   learning and data mining

Selected Publications

1. Xiaoxia Xiong, Long Chen, and Jun   Liang. A New Framework of Vehicle Collision Prediction by Combining SVM and   HMM [J]. IEEE Transactions on Intelligent Transportation Systems, 2018,   19(3): 699-710.      (SCI, IF: 4.051)

2. Xiaoxia Xiong, Long Chen, and Jun   Liang. Analysis of Roadway Traffic Accidents Based on Rough Sets and Bayesian   Networks [J]. Promet- Traffic&Transportation, 2018, 30(1): 71-81. (SCI)

3. Xiaoxia Xiong, Long Chen, Jun Liang. Vehicle Driving Risk   Prediction Based on Markov Chain Model [J]. Discrete Dynamics in Nature and   Society, 2018, Article ID 4954621. (SCI)

4. Xiaoxia Xiong, Meng Wang, Yingfeng   Cai, Long Chen, Haneen Farah, Marjan Hagenzieker. A forward collision   avoidance algorithm based on driver braking behavior [J]. Accident Analysis   & Prevention, 2019, 129:30-43. (SSCI)

5. Xiaoxia Xiong, Long Chen, Jun Liang, et al.. Study on the Prediction of Dangerous   Lane Changing Behavior. Automotive Engineering,   2017, 39(9):1040-1046. (EI)

6.   Xiaoxia Xiong, Long Chen, Jun Liang, et al.. Simulation Study of Driving Risk   Identification Method Based on Driver 's Accident Avoidance Behavior.   Automotive Engineering, 2018. (EI accepted)