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Qing He
Qing He
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A deep learning approach for detecting traffic accidents from social media data
Z Zhang, Q He, J Gao, M Ni
Transportation Research Part C: Emerging Technologies 86, 580-596, 2018
3642018
PAMSCOD: Platoon-based arterial multi-modal signal control with online data
Q He, KL Head, J Ding
Transportation Research Part C: Emerging Technologies 20 (1), 164-184, 2012
3422012
Recent applications of big data analytics in railway transportation systems: A survey
F Ghofrani, Q He, RMP Goverde, X Liu
Transportation Research Part C: Emerging Technologies 90, 226-246, 2018
3112018
Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers
A Devari, AG Nikolaev, Q He
Transportation Research Part E: Logistics and Transportation Review 105, 105-122, 2017
3042017
Multi-modal traffic signal control with priority, signal actuation and coordination
Q He, KL Head, J Ding
Transportation Research Part C: Emerging Technologies 46, 65-82, 2014
3042014
Improving rail network velocity: A machine learning approach to predictive maintenance
H Li, D Parikh, Q He, B Qian, Z Li, D Fang, A Hampapur
Transportation Research Part C: Emerging Technologies 45, 17-26, 2014
2652014
Forecasting the subway passenger flow under event occurrences with social media
M Ni, Q He, J Gao
IEEE Transactions on Intelligent Transportation Systems 18 (6), 1623-1632, 2016
2272016
Prepositioning of assets and supplies in disaster operations management: Review and research gap identification
M Sabbaghtorkan, R Batta, Q He
European Journal of Operational Research 284 (1), 1-19, 2020
1382020
Data-driven optimization of railway maintenance for track geometry
S Sharma, Y Cui, Q He, R Mohammadi, Z Li
Transportation Research Part C: Emerging Technologies 90, 34-58, 2018
1292018
Heuristic Algorithm for Priority Traffic Signal Control
Q He, KL Head, J Ding
Transportation Research Record: Journal of the Transportation Research Board …, 2011
1152011
Dynamic modeling and experimental investigation of self-powered sensor nodes for freight rail transport
M Gao, J Cong, J Xiao, Q He, S Li, Y Wang, Y Yao, R Chen, P Wang
Applied Energy 257, 113969, 2020
1082020
Track geometry defect rectification based on track deterioration modelling and derailment risk assessment
Q He, H Li, D Bhattacharjya, DP Parikh, A Hampapur
Journal of the Operational Research Society 66 (3), 392-404, 2015
932015
Online Travel Mode Identification Using Smartphones With Battery Saving Considerations
X Su, H Caceres, H Tong, Q He
IEEE Transactions on Intelligent Transportation Systems 17 (10), 2921-2934, 2016
842016
Using social media to predict traffic flow under special event conditions
M Ni, Q He, J Gao
The 93rd Annual Meeting of Transportation Research Board, 2014
842014
Forecasting current and next trip purpose with social media data and Google Places
Y Cui, C Meng, Q He, J Gao
Transportation Research Part C: Emerging Technologies 97, 159-174, 2018
812018
Spatial-temporal traffic flow pattern identification and anomaly detection with dictionary-based compression theory in a large-scale urban network
Z Zhang, Q He, H Tong, J Gou, X Li
Transportation Research Part C: Emerging Technologies 71, 284-302, 2016
782016
FASCINATE: Fast cross-layer dependency inference on multi-layered networks
C Chen, H Tong, L Xie, L Ying, Q He
KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on …, 2016
782016
Modeling the impacts of inclement weather on freeway traffic speed: exploratory study with social media data
L Lin, M Ni, Q He, J Gao, AW Sadek
Transportation research record 2482 (1), 82-89, 2015
762015
Potentials of using social media to infer the longitudinal travel behavior: A sequential model-based clustering method
Z Zhang, Q He, S Zhu
Transportation Research Part C: Emerging Technologies 85, 396-414, 2017
752017
Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects
R Mohammadi, Q He, F Ghofrani, A Pathak, A Aref
Transportation Research Part C: Emerging Technologies 102, 153-172, 2019
712019
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