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pro vyhledávání: '"Ouyang, Yanfeng"'
The bipartite matching problem is widely applied in the field of transportation; e.g., to find optimal matches between supply and demand over time and space. Recent efforts have been made on developing analytical formulas to estimate the expected mat
Externí odkaz:
http://arxiv.org/abs/2409.18292
In this paper, we explore the capabilities of state-of-the-art large language models (LLMs) such as GPT-4, GPT-4o, Claude 3.5 Sonnet, Claude 3 Opus, Gemini 1.5 Pro, Llama 3, and Llama 3.1 in solving some selected undergraduate-level transportation en
Externí odkaz:
http://arxiv.org/abs/2408.08302
Although many well-known algorithms can solve the bipartite matching problem instance efficiently, it remains an open question how one could estimate the expected optimal matching distance for arbitrary numbers of randomly distributed vertices in a $
Externí odkaz:
http://arxiv.org/abs/2406.12174
Autor:
Liu, Yining, Ouyang, Yanfeng
Dockless electric micro-mobility services (e.g., shared e-scooters and e-bikes) have been increasingly popular in the recent decade, and a variety of charging technologies have emerged for these services. The use of charging stations, to/from which s
Externí odkaz:
http://arxiv.org/abs/2403.16029
Autor:
Liu, Yining, Ouyang, Yanfeng
This study presents a multi-zone queuing network model for steady-state ride-pooling operations that serve heterogeneous demand, and then builds upon this model to optimize the design of ride-pooling services. Spatial heterogeneity is addressed by pa
Externí odkaz:
http://arxiv.org/abs/2208.02219
Publikováno v:
In Sustainable Cities and Society 15 September 2024 111
Publikováno v:
In Applied Energy 15 January 2025 378 Part B
Publikováno v:
In Transportation Research Part C May 2024 162