Abstract
This study examines the local container drayage problem under a semi-autonomous platooning mode. The benefits of this mode include labor cost saving via the semi-autonomous truck fleet and fuel cost saving via air drag reduction. The problem of routing drivers and trucks according to the characteristics of platooning is mathematically modeled. The lower bound is analyzed through comparison with the traditional mode. A tabu search heuristic is developed to solve the problem. Numerical experiments are conducted to assess the performance of the algorithm, quantify the benefits of the platooning mode, and analyze the effects of some key model parameters.
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