Sean Qian

Orcid: 0000-0001-8716-8989

Affiliations:
  • Carnegie Mellon University, Civil and Environmental Engineering, Pittsburgh, USA


According to our database1, Sean Qian authored at least 25 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Traffic estimation in unobserved network locations using data-driven macroscopic models.
CoRR, 2024

2023
The Impact of Optimized Fleets in Transportation Networks.
Transp. Sci., July, 2023

2022
Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation.
IEEE Trans. Intell. Transp. Syst., 2022

Modeling Relation Proximity of Passengers Using Public Transit Smart Card Data.
IEEE Intell. Transp. Syst. Mag., 2022

An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting.
IEEE Intell. Transp. Syst. Mag., 2022

Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach.
CoRR, 2022

Statistical inference of travelers' route choice preferences with system-level data.
CoRR, 2022

Estimating probabilistic dynamic origin-destination demands using multi-day traffic data on computational graphs.
CoRR, 2022

2021
Interactive Visual Exploration of Human Mobility Correlation Based on Smart Card Data.
IEEE Trans. Intell. Transp. Syst., 2021

A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2021

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., 2021

High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach.
Sensors, 2021

Hierarchical Graph Convolution Network for Traffic Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data.
CoRR, 2020

Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction.
CoRR, 2020

2019
Detecting Pickpocketing Gangs on Buses with Smart Card Data.
IEEE Intell. Transp. Syst. Mag., 2019

Understanding and Predicting Travel Time with Spatio-Temporal Features of Network Traffic Flow, Weather and Incidents.
IEEE Intell. Transp. Syst. Mag., 2019

Multi-Source Traffic Data Reconstruction Using Joint Low-Rank and Fundamental Diagram Constraints.
IEEE Intell. Transp. Syst. Mag., 2019

Emerging Mobility Systems [Guest Editorial].
IEEE Intell. Transp. Syst. Mag., 2019

High-Resolution Traffic Sensing with Autonomous Vehicles.
CoRR, 2019

Measuring and reducing the disequilibrium levels of dynamic networks through ride-sourcing vehicle data.
CoRR, 2019

Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs.
CoRR, 2019

A deep learning approach to real-time parking occupancy prediction in spatio-termporal networks incorporating multiple spatio-temporal data sources.
CoRR, 2019

2016
Freeway Lane Management Approach In Mixed Traffic Environment with Connected Autonomous Vehicles.
CoRR, 2016

2013
Optimal stochastic control for parking systems: occupancy-driven parking pricing.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013


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