The Multistage Stochastic Vehicle Routing Problem with Dynamic Occasional Drivers

Skålnes, Jørgen; Dahle, Lars; Andersson, Henrik; Christiansen, Marielle; Hvattum, Lars Magnus

doi:10.1007/978-3-030-59747-4_17

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…There is already a growing research stream on how to incorporate the potential of future arrivals and departures of crowdsourced drivers into matching and routing optimization. For example, [28] optimizes matching decisions in anticipation of potential future driver availability, while [35, 78, 85, 97] sample future arrivals and incorporate them into current assignment and routing optimization. In contrast to matching and routing in anticipation of uncertain availability, studies on ensuring availability at the tactical and operational levels are very scarce.…”

Section: Crowdsourced Transportationmentioning

confidence: 99%

Directions for future research on urban mobility and city logistics

2022

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This survey article provides an overview on future directions for research in urban mobility and city logistics. It sets a focus on three particularly serious changes in the business models: vehicle autonomy, crowdsourced logistics, and urban micro‐consolidation centers. In the future, service fleets might fully or partially be autonomous which brings new operational opportunities and challenges. In many business models, crowdsourcing jobs are already common. While this might save costs, it also leads to uncertainty in the available workforce and their behavior. Finally, micro‐consolidation centers enable the use of smaller, cheaper, and emission‐friendlier vehicles, but lead to more complex planning and operations. For each topic, the article presents an overview on the relevant literature as well as important and open research challenges.

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Section: Crowdsourced Transportationmentioning

confidence: 99%