Using extreme value theory to identify railcar asymmetric wheel wear and its benefit analysis
- Yu Cui
- Qing He
- et al.
- 2019
- Transport
Paper
Publications
9 results for Qing He
Same-day delivery with crowdshipping and store fulfillment in daily operations
- Ming Ni
- Qing He
- et al.
- 2018
- ISTTT 2018
Conference paperJoint prediction of remaining useful life and failure type of train wheelsets: Multitask learning approach
- Weixin Wang
- Qing He
- et al.
- 2018
- J Transp Eng Part A Syst
PaperData-driven optimization of railway maintenance for track geometry
- Siddhartha Sharma
- Yu Cui
- et al.
- 2018
- Transp. Res. Part C Emerg. Technol.
PaperTrack geometry defect rectification based on track deterioration modelling and derailment risk assessment
- Qing He
- Hongfei Li
- et al.
- 2017
- JORS
PaperPersonalized travel mode detection with smartphone sensors
- Xing Su
- Yuan Yao
- et al.
- 2017
- Big Data 2017
Conference paperPrediction of Railcar Remaining Useful Life by Multiple Data Source Fusion
- Zhiguo Li
- Qing He
- 2015
- IEEE T-ITS
PaperPredicting failure times of railcar wheels and trucks by using wayside detector signals
- Zhiguo Li
- Qing He
- 2014
- IEEE ICMA 2014
Conference paperImproving rail network velocity: A machine learning approach to predictive maintenance
- Hongfei Li
- Dhaivat Parikh
- et al.
- 2014
- Transp. Res. Part C Emerg. Technol.
Paper