Platform-based stable truck matching problem with trailer-swapping mode

Wenxiang Peng, Xiangsheng Chen, Zhaojie Xue, Yubin Liao and Jintao You

Transportation Research Part E: Logistics and Transportation Review, 2024, vol. 188, issue C

Abstract: This study investigates the platform-based stable truck-matching problem with trailer-swapping mode (STMP-TSM). The TSM is a novel collaborative transportation approach in which trucks participate in trailer swapping, significantly decreasing the rate of empty trucks and reducing transportation costs. In the STMP-TSM, a platform delivers a trailer-swapping scheme that satisfies all participating trucks. Correspondingly, an integer linear programming model is developed to maximize the total truck utility of the STMP-TSM. A specific preference list based on a chain-data structure is meticulously constructed to obtain a stable matching scheme. The preference list enables more generalized truck matching. In addition, a series of acceleration strategies is proposed to expedite the generation of a preference list while effectively reducing its length. An iterative preference-list-trim heuristic algorithm is designed, which strategically trims chains in the preference list to solve the STMP-TSM efficiently. As a benchmark, an integer linear programming model is developed based on the preference list to solve the truck-matching problem using the TSM. Finally, a series of numerical experiments are conducted to evaluate the performance of the proposed algorithm, assess the practicality of the TSM, and analyze the influences of the key parameters.

Keywords: Collaborative transportation; Platform; Trailer-swapping mode; Iterative preference-list-trim heuristic algorithm; Integer programming; Preference list (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.tre.2024.103638

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