| 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 | 155 | 2018 |
| 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 | 48 | 2016 |
| 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 | 45 | 2017 |
| Performance measure for reliable travel time of emergency vehicles Z Zhang, Q He, J Gou, X Li Transportation Research Part C: Emerging Technologies 65, 97-110, 2016 | 27 | 2016 |
| Exploratory study on correlation between twitter concentration and traffic surges Z Zhang, M Ni, Q He, J Gao, J Gou, X Li Transportation Research Record 2553 (1), 90-98, 2016 | 26 | 2016 |
| Traffic signal control with partial grade separation for oversaturated conditions Q He, R Kamineni, Z Zhang Transportation research part C: emerging technologies 71, 267-283, 2016 | 18 | 2016 |
| Mining transportation information from social media for planned and unplanned events Z Zhang, M Ni, J Gao, Q He University Transportation Centers Program (US), 2016 | 15 | 2016 |
| Bi-national delay pattern analysis for commercial and passenger vehicles at niagara frontier border Z Zhang, L Lin, L Zhu, A Sharma arXiv preprint arXiv:1711.09723, 2017 | 12 | 2017 |
| On-site traffic accident detection with both social media and traffic data Z Zhang, Q He Proc. 9th Triennial Symp. Transp. Anal.(TRISTAN), 2016 | 7 | 2016 |
| Abnormal spatial-temporal pattern analysis for niagara frontier border wait times Z Zhang, L Lin arXiv preprint arXiv:1711.00054, 2017 | 5 | 2017 |
| Fusing Social Media and Traditional Traffic Data for Advanced Traveler Information and Travel Behavior Analysis Z Zhang PhD diss., State University of New York at Buffalo, 2017 | 4 | 2017 |
| Exploring travel behavior with social media: An empirical study of abnormal movements using high-resolution Tweet trajectory data Z Zhang, Q He, S Zhu Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 4 | 2017 |
| Final report. Mining transportation information from social media for planned and unplanned events Z Zhang, M Ni, Q He, J Gao Transportation Informatics, University Transportation Center, 2016 | 4 | 2016 |
| Analyzing travel time reliability and its influential factors of emergency vehicles with generalized extreme value theory Z Zhang, Q He, J Gou, X Li Journal of Intelligent Transportation Systems 23 (1), 1-11, 2019 | 3 | 2019 |
| The Research on the Data Mining Technology in the Active Demand Management C Xuemei, G Li, W Xi, W Zhonghua, Z Zhenhua, L Zhigao 2011 International Conference on Internet Computing and Information Services …, 2011 | 3 | 2011 |
| Method, apparatus, and system for propagating learned traffic sign data in a road network Z Zhang, L Stenneth, Z Sebastian US Patent 10,818,165, 2020 | 2 | 2020 |
| Method, apparatus, and system for traffic sign learning based on road network connectivity Z Zhang, L Stenneth, Z Sebastian US Patent App. 15/957,533, 2019 | 2 | 2019 |
| Social media in transportation research and promising applications Z Zhang, Q He Transportation analytics in the era of big data, 23-45, 2019 | 2 | 2019 |
| Insert beyond the traffic sign recognition: constructing an auto-pilot map for autonomous vehicles Z Zhang, L Stenneth, R Marappan, Z Sebastian, PS Yu Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 2 | 2018 |
| Performance Measure of Travel Time Reliability of Emergency Vehicles in an Urban Region Z Zhang, Q He, J Gou, X Li Transportation Research Board 94th Annual MeetingTransportation Research Board, 2015 | 2 | 2015 |
Qing He (何庆)Professor, Southwest Jiaotong University (西南交通大学)Verified email at swjtu.edu.cn
