The dynamic landscape of shared trucking necessitates optimization models that enhance load assignment to pools, balancing cost efficiency, capacity utilization, and strategic decision-making. This study introduces a mixed-integer linear programming (MILP) framework tailored for load assignment in shared trucking, with...
Xue-Ping Li, Jeremiah Gbadegoye, Hugh R. Medal et al.· IISE Annual Conference &...· 0 citations
The increasing number of gasoline-powered trucks on the road, projected to continue rising, contributes significantly to traffic congestion and carbon emissions. With many trucks partially empty, load consolidation offers a promising solution to these challenges. Shared truckload transportation, an emerging model in lo...
Hugh Medal, Xue-Ping Li, M. Camur et al.· IISE Annual Conference &...· 0 citations
Over the past decades, the urban mobility sector has explored ridesharing systems (RSs) as sustainable solutions to reduce private car ownership and improve mobility for transit-dependent users. However, simultaneously optimizing both matching of drivers and passengers and routing given the dynamic and real-time comple...
M. Camur, Xue-Ping Li· IISE Annual Conference &...· 0 citations
An agent-based modeling framework coupling a physical infrastructure layer, a connectivity layer (V2X), and a decision layer integrating reinforcement learning and multi-agent reinforcement learning for platoon formation and charging coordination for platoon formation and charging coordination is presented.
Madelaine Martinez-Ferguson, Chun Wang, M. Camur et al.· 0 citations
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