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ICM-495 highway network and Manhattan urban network
The ICM-495 highway network and an urban network in Manhattan, New York City. -
Roadway Capacity-driven Graph Convolution Network for Network-Wide Traffic Pr...
The Roadway Capacity-driven Graph Convolution Network (RCDGCN) model integrates static and dynamic roadway capacity attributes in spatio-temporal settings to predict... -
Bi-Level Imitation Learning System
The Bi-Level Imitation Learning System (BITS) is a model that utilizes a two-tiered imitation learning strategy for traffic prediction tasks.
