Hongyu Zheng
Hongyu Zheng
Verified email at - Homepage
Cited by
Cited by
Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach
J Ke, H Zheng, H Yang, XM Chen
Transportation research part C: Emerging technologies 85, 591-608, 2017
Hexagon-based convolutional neural network for supply-demand forecasting of ride-sourcing services
J Ke, H Yang, H Zheng, X Chen, Y Jia, P Gong, J Ye
IEEE Transactions on Intelligent Transportation Systems 20 (11), 4160-4173, 2018
Exploring impacts of on-demand ridesplitting on mobility via real-world ridesourcing data and questionnaires
X Chen, H Zheng, Z Wang, X Chen
Transportation 48, 1541-1561, 2021
Dynamic optimization strategies for on-demand ride services platform: Surge pricing, commission rate, and incentives
XM Chen, H Zheng, J Ke, H Yang
Transportation Research Part B: Methodological 138, 23-45, 2020
Mechanical energy harvesting from road pavements under vehicular load using embedded piezoelectric elements
Y Chen, H Zhang, Y Zhang, C Li, Q Yang, H Zheng, C Lü
Journal of Applied Mechanics 83 (8), 081001, 2016
How does on-demand ridesplitting influence vehicle use and purchase willingness? A case study in Hangzhou, China
H Zheng, X Chen, XM Chen
IEEE Intelligent Transportation Systems Magazine 11 (3), 143-157, 2019
Understanding network travel time reliability with on-demand ride service data
XM Chen, X Chen, H Zheng, C Chen
Frontiers of Engineering Management 4 (4), 388-398, 2017
Plunge and rebound of a taxi market through COVID-19 lockdown: Lessons learned from Shenzhen, China
H Zheng, K Zhang, YM Nie
Transportation Research Part A: Policy and Practice 150, 349-366, 2021
Efficient dispatching for on-demand ride services: Systematic optimization via Monte-Carlo tree search
XM Chen, X Chen, H Zheng, F Xiao
Transportation Research Part C: Emerging Technologies 127, 103156, 2021
How does on-demand ridesplitting influence vehicle use and ownership? A case study in Hangzhou, China
H Zheng, X Chen, XM Chen
Proc., 97th Annual Meeting of the Transportation Research Board, 2018
The fall and rise of the taxi industry in the COVID-19 pandemic: a case study
H Zheng, K Zhang, YM Nie
Available at SSRN 3674241, 2020
How Many Are Too Many? Analyzing Dockless Bikesharing Systems with a Parsimonious Model
H Zheng, K Zhang, M Nie, P Yan, Y Qu
Available at SSRN 3919914, 2021
Random forests for freeway short-term traffic speed prediction
H Zheng, X Chen, XM Chen
17th COTA International Conference of Transportation Professionals, 2017
The system can't perform the operation now. Try again later.
Articles 1–13