Suivre
Jintao KE
Jintao KE
Assistant Professor, the University of Hong Kong
Adresse e-mail validée de connect.ust.hk - Page d'accueil
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Année
Deep multi-view spatial-temporal network for taxi demand prediction
H Yao, F Wu, J Ke, X Tang, Y Jia, S Lu, P Gong, J Ye, Z Li
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
11712018
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
7192017
To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults
L Yang, Y Ao, J Ke, Y Lu, Y Liang
Journal of transport geography 94, 103099, 2021
2422021
A simple reservation and allocation model of shared parking lots
C Shao, H Yang, Y Zhang, J Ke
Transportation Research Part C: Emerging Technologies 71, 303-312, 2016
1932016
Pricing and equilibrium in on-demand ride-pooling markets
J Ke, H Yang, X Li, H Wang, J Ye
Transportation Research Part B: Methodological 139, 411-431, 2020
1572020
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
1462018
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
J Ke, X Qin, H Yang, Z Zheng, Z Zhu, J Ye
Transportation Research Part C: Emerging Technologies 122, 102858, 2021
1432021
Optimizing matching time interval and matching radius in on-demand ride-sourcing markets
H Yang, X Qin, J Ke, J Ye
Transportation Research Part B: Methodological 131, 84-105, 2020
1382020
Learning to delay in ride-sourcing systems: A multi-agent deep reinforcement learning framework
J Ke, F Xiao, H Yang, J Ye
IEEE Transactions on Knowledge and Data Engineering 34 (5), 2280-2292, 2020
122*2020
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
902020
On ride-pooling and traffic congestion
J Ke, H Yang, Z Zheng
Transportation Research Part B: Methodological 142, 213-231, 2020
842020
Joint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach
J Ke, S Feng, Z Zhu, H Yang, J Ye
Transportation Research Part C: Emerging Technologies 127, 103063, 2021
762021
A universal distribution law of network detour ratios
H Yang, J Ke, J Ye
Transportation Research Part C: Emerging Technologies 96, 22-37, 2018
762018
Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles
J Ke, X Cen, H Yang, X Chen, J Ye
Transportation Research Part E: Logistics and Transportation Review 125, 160-180, 2019
722019
Analysis of multi-modal commute behavior with feeding and competing ridesplitting services
Z Zhu, X Qin, J Ke, Z Zheng, H Yang
Transportation Research Part A: Policy and Practice 132, 713-727, 2020
652020
Competition and third-party platform-integration in ride-sourcing markets
Y Zhou, H Yang, J Ke, H Wang, X Li
Transportation Research Part B: Methodological 159, 76-103, 2022
59*2022
A mean-field Markov decision process model for spatial-temporal subsidies in ride-sourcing markets
Z Zhu, J Ke, H Wang
Transportation Research Part B: Methodological 150, 540-565, 2021
522021
Data-driven analysis on matching probability, routing distance and detour distance in ride-pooling services
J Ke, Z Zheng, H Yang, J Ye
Transportation Research Part C: Emerging Technologies 124, 102922, 2021
512021
PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data
J Ke, S Zhang, H Yang, X Chen
Transportmetrica A: transport science 15 (2), 872-895, 2019
402019
Regulating ridesourcing services with product differentiation and congestion externality
DA Vignon, Y Yin, J Ke
Transportation Research Part C: Emerging Technologies 127, 103088, 2021
392021
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