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20222026
most citedNetworkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach

3 citations · 5 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.LG2022

Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach

Bin Lei, Shaoyi Huang, Caiwen Ding +1

Traffic state prediction in a transportation network is paramount for effective traffic operations and management, as well as informed user and system-level decision-making. Howeve…

eess.SY2022★ 2 cited

Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach

Monika Filipovska, Michael Hyland, Haimanti Bala

Shared-use autonomous mobility services (SAMS) present new opportunities for improving accessible and demand-responsive mobility. A fundamental challenge that SAMS face is appropri…