Wei Ma

发表

High-Resolution Traffic Sensing with Autonomous Vehicles

Wei Ma, 2019 .

Estimating probabilistic dynamic origin-destination demands using multi-day traﬃc data on computational graphs

Wei Ma, 2022 .

Estimating probabilistic dynamic origin-destination demands using multi-day traffic data on computational graphs

Sean Qian, Wei Ma, 2022, ArXiv.

Clustering Analysis of the Spatio-Temporal On-Street Parking Occupancy Data: A Case Study in Hong Kong

Wei Ma, Fan Wu, 2022, Sustainability.

Few-Shot Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases

Wei Ma, Mingxiao Li, Yihong Tang, 2022, IEEE Transactions on Intelligent Transportation Systems.

Statistical inference of probabilistic origin-destination demand using day-to-day traffic data pdf

Zhen Qian, Wei Ma, Z. Qian, 2018, ArXiv.

Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs pdf

Xidong Pi, Wei Ma, Sean Qian, 2019, Transportation Research Part C: Emerging Technologies.

Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data pdf

Zhen Qian, Wei Ma, Z. Qian, 2018, Transportation Research Part C: Emerging Technologies.

A general formulation for multi-modal dynamic traffic assignment considering multi-class vehicles, public transit and parking

Xidong Pi, Wei Ma, Zhen Qian, 2019, Transportation Research Part C: Emerging Technologies.

On the variance of recurrent traffic flow for statistical traffic assignment

Wei Ma, Zhen Qian, Z. Qian, 2017 .

High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach

Sean Qian, Wei Ma, Sean Qian, 2021, Sensors.

High-Resolution Traffic Sensing with Autonomous Vehicles pdf

Wei Ma, Sean Qian, Sean Qian, 2019, ArXiv.

A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources

Xidong Pi, Shuguan Yang, Wei Ma, 2019, Transportation Research Part C: Emerging Technologies.

Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp Metering and Perimeter Control in Large Scale Networks

Wei Ma, Zijian Hu, 2023, SSRN Electronic Journal.

Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds pdf

Chengxiang Zhuge, Zijian Hu, Wei Ma, 2021, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors

Wei Ma, George H. Chen, Kendall Nowocin, 2018, ICTD.

Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method

Zhengbing He, Wei Ma, Feng Chen, 2021 .

Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption

Wei Ma, George H. Chen, Wei Ma, 2019, NeurIPS.

Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models pdf

Ziyuan Pu, Kairui Feng, Lyuyi Zhu, 2021, IEEE Internet of Things Journal.

Maximin Headway Control of Automated Vehicles for System Optimal Dynamic Traffic Assignment in General Networks

Wei Ma, Jinxiao Du, 2023, ArXiv.

Measuring and reducing the disequilibrium levels of dynamic networks through ride-sourcing vehicle data pdf

Wei Ma, Sean Qian, Sean Qian, 2019, Transportation Research Part C: Emerging Technologies.

Vehicle Re-identification for Lane-level Travel Time Estimations on Congested Urban Road Networks Using Video Images

H. W. Ho, Bi Yu Chen, William H. K. Lam, 2022, IEEE Transactions on Intelligent Transportation Systems.

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

Xidong Pi, Wei Ma, Shuguan Yang, 2019, ArXiv.

Cluster Analysis of Day-to-Day Traffic Data in Networks

Sean Qian, Wei Ma, Peng Zhang, 2022, Social Science Research Network.

Real-time estimation of multi-class path travel times using multi-source traffic data

W. Lam, Wei Ma, A. Chow, 2023, Expert systems with applications.

Physics-informed deep learning for traffic state estimation based on the traffic flow model and computational graph method

Lixing Yang, Wei Ma, Jinlei Zhang, 2023, Inf. Fusion.