Time-dependent vehicle routing problem of perishable product delivery considering the differences among paths on the congested road

Zhao, Fang; Si, Bingfeng; Wei, Zhenlin; Lu, Tianwei

doi:10.1007/s12351-023-00751-3

Cited by 4 publications

(1 citation statement)

References 35 publications

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“…Specifically, Huang et al [22] combine route flexibility with the time-dependent travel time by adopting a route path selection method. Zhao et al [23] propose a model to obtain the time-dependent travel time based on historical traffic indices. In the dynamic VRP model, many scholars have designed both exact algorithms such as benders decomposition [24] and column generation [25] and other heuristic algorithms such as the improved particle swarm optimization algorithm [26] and taboo search [27,28] to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Freight Vehicle Routing in Dynamic Time-Varying Networks with Carbon Dioxide Emission Trajectory Analysis

Song,

Qin,

Shi

et al. 2023

Sustainability

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In this study, we formulate a freight vehicle path-planning model in the context of dynamic time-varying networks that aims to capture the spatial and temporal distribution characteristics inherent in the carbon dioxide emission trajectories of freight vehicles. Central to this model is the minimization of total carbon dioxide emissions from vehicle distribution, based on the comprehensive modal emission model (CMEM). Our model also employs the freight vehicle travel time discretization technique and the dynamic time-varying multi-path selection strategy. We then design an improved genetic algorithm to solve this complicated problem. Empirical results vividly illustrate the superior performance of our model over alternative objective function models. In addition, our observations highlight the central role of accurate period partitioning in time segmentation considerations. Finally, the experimental results underline that our multi-path model is able to detect the imprint of holiday-related effects on the spatial and temporal distribution of carbon dioxide emission trajectories, especially when compared to traditional single-path models.

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