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Shuguan Yang
Shuguan Yang
Verified email at cmu.edu
Title
Cited by
Cited by
Year
A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources
S Yang, W Ma, X Pi, S Qian
Transportation Research Part C: Emerging Technologies 107, 248-265, 2019
1852019
Understanding and Predicting Travel Time with Spatio-Temporal Features of Network Traffic Flow, Weather and Incidents
S Yang, S Qian
IEEE Intelligent Transportation Systems Magazine 11 (3), 12-28, 2019
632019
Turning meter transactions data into occupancy and payment behavioral information for on-street parking
S Yang, ZS Qian
Transportation Research Part C: Emerging Technologies 78, 165-182, 2017
512017
A deep learning approach to real-time parking occupancy prediction in spatio-temporal networks incorporating multiple spatio-temporal data sources
S Yang, W Ma, X Pi, S Qian
arXiv preprint ArXiv:1901.06758, 1901
71901
High-resolution Traffic Sensing with Autonomous Vehicles
S Qian, S Yang, A Plummer
http://mac.heinz.cmu.edu/wp-content/uploads/2019/09/High-Resolution-Traffic …, 2019
62019
A deep learning approach to real-time parking occupancy prediction in spatio-temporal networks incorporating multiple spatio-temporal data sources
S Yang, W Ma, X Pi, S Qian
arXiv preprint arXiv:1901.06758, 2019
62019
A non-sensor solution for effective and inexpensive parking management: Payment, reservation, and dynamic pricing
S Yang, S Qian
Provisional Patent, 2018
42018
What Do Autonomous Vehicles Mean to Traffic Congestion and Crash?: Network Traffic Flow Modeling and Simulation for Autonomous Vehicles
S Qian, S Yang
University Transportation Centers Program (US), 2016
22016
Mobile App Connecting People Based on Personality Detection and Image Perception Analysis
R Yu, S Yang, G Li, C Qian, S Sahu, CY Lin
2014 IEEE International Symposium on Multimedia, 333-340, 2014
22014
Predicting Occupancy of Parking Spaces in Transportation Networks: A Deep Learning Approach with Multi-Source Spatio-Temporal Data
S Yang, W Ma, X Pi, ZS Qian
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
12019
Vehicle parking system and method
Z Qian, S Yang
US Patent 11,417,152, 2022
2022
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