A high-order hidden Markov model and its applications for dynamic car ownership analysis
Xiong et. al., (2018). "A high-order hidden Markov model and its applications for dynamic car ownership analysis." Transportation Science. 52 (6), 1365-1375.
Education
- B.S. in Civil Engineering, Tsinghua University - China, 2009
- M.S. in Civil Engineering, University of Maryland - College Park, 2011
- M.A. in Economics, University of Maryland - College Park, 2013
- Ph.D. in Transportation Engineering, University of Maryland - College Park, 2015
Work experience
- 2022 to present: Assistant Professor
- Villanova University
- College of Engineering (CoE)
- Department of Civil and Environmental Engineering (CEE)
- Affiliated Faculty of Center for Human-Environmental Systems (CHES) at Villanova University
- 2017-2022: Assistant/Associate Research Professor
- University of Maryland - College Park
- Jointly appointed at University of Maryland - Baltimore
- Affiliated, Maryland Transportation Institute (MTI)
- Affiliated, Shock Trauma Anesthesiology Research (STAR) Center
- 2015-2017: Postdoctoral Research Associate
- University of Maryland - College Park
- National Transportation Center (NTC)
Publications
An integrated and personalized traveler information and incentive scheme for energy efficient mobility systems
Xiong et al., (2010). "An integrated and personalized traveler information and incentive scheme for energy efficient mobility systems." Transportation Research Part C: Emerging Technologies. 113, 57-73.
Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections
Xiong, et. al., (2020). "Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections." Proceedings of National Academy of Sciences (PNAS). 117 (44) 27087-27089.
Teaching
Service and leadership
- Academic Editor: PLOS One
- Handling Editor: Transportation Research Record
- Affiliated Member of American Society of Civil Engineers (ASCE)
- Associate Member of ASCE Artificial Intelligence in Transportation Committee
- Served on expert panels of NSF and FHWA