my interests

• Intelligent Transportation Systems
• Traffic Predictions
• Data-driven Machine Learning

my projects

• Matching Parking Supply to Travel Demand towards Sustainability: a Cyber Physical Social System for Sensing Driven Parking.
• A non-sensor solution for effective and inexpensive parking management: payment, reservation, and dynamic pricing
• Mobility Data Analytics Center
• Federal Highway Administration’s research project: travel time reliability data guideline

my publications

• Shuguan Yang, Xidong Pi, Wei Ma, Sean Qian. (2018) “A Graph-CNN approach of parking occupancy prediction in network-scale incorporating multiple spatio-temporal data sources”. Working paper.
•  Shuguan Yang, Sean Qian. (2017) “Understanding and predicting highway travel time with spatio-temporal features of network traffic flow, weather and incidents”. IEEE Intelligent Transportation Systems Magazine, accepted and forthcoming.
• Sean Qian, Shuguan Yang. A non-sensor solution for effective and inexpensive parking management: payment, reservation, and dynamic pricing. provisional patent 2018 [URL]
• Shuguan Yang, Sean Qian. (2017) “Turning meter transactions data into occupancy and payment behavioral information for on-street parking”. Transportation Research Part C, Vol.78, pp.165-182. [URL]