2022.10: The SUM Lab’s presence at 2022 INFORMS Annual Meeting

Linxuan presented his independent research work “An Integer L-shaped Method for Dynamic Order Dispatching in Autonomous Last-Mile Delivery with Demand Uncertainty” [URL] at an invited session on the Challenges and Innovations in Urban Logistics organized by Dr. Xu. Well done, Linxuan!

In addition, Dr. Xu made a flash talk titled “Empirical analysis of electric vehicles’ charging patterns: Case study from Shanghai” [URL] at Smart Cities Cluster Session. This work is in collaboration with colleagues at NYU Shanghai and Tongji University.

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