Online crowdsourced delivery for urban parcels using private cars under time-dependent travel times

Xiaoping, Liang; Yang, Hualong; Wu, Qiong

doi:10.1016/j.cie.2022.108807

Cited by 5 publications

(3 citation statements)

References 40 publications

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“…The system in [5] assigns the packages to several OCs; however, the route is determined not according to the OC's routs. In [4], the system also assigns the packages to several OCs; it tries to maximize profit while fulfilling constraints using mixed integer programming.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Several crowd-shipping delivery systems that optimize the routes for packages were offered [3][4][5].These systems consider factors such as time or distance and optimize them for all packages accordingly. However, from the sender's point of view, the optimal route for a package relies on different parameters, each of which has a different priority.…”

Section: Introductionmentioning

confidence: 99%

“…One is the time it takes for the package to arrive at its destination. The second is the distance that the package travels, which affects the price of the delivery (for example [4]). Another parameter is the amount of OCs that are involved in the delivery, since as this amount increases, so does the probability of the package getting damaged or lost.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Route Crowd-Shipping System for Sustainable Rapid Delivery: Algorithm, Simulation, and Feasibility Evaluation

Aronshtam,

Sand,

Shrot

et al. 2023

Future Transportation

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Delivery systems are ubiquitous in today’s economy. However, those systems usually operate through purpose-built vehicles, which are inefficient, expensive, and highly harmful to the environment. We propose an optimal route crowd-shipping (OR-CS) system, a delivery service based on crowd transportation. The OR-CS system utilizes service points (SPs) and occasional couriers (OCs) to transfer deliveries. Senders drop packages at SPs, while receivers collect them from different SPs. The system is based on a new algorithm that assigns to each package an optimal route. The route is chosen individually for the package and is personally tailored according to the sender’s preferences and to the predefined routes of the OCs. To assess the real-life feasibility of the system, we developed a general simulator that emulates a city environment with authentic service points specifically selected based on desired attributes. The routes of OCs and the origins and destinations of packages were generated using a random process that differed between simulations. The results indicate that the system can be implemented and utilized. In addition, it yields positive results when the number of OCs surpasses a minimum threshold, which is feasible in most cities, given existing traffic loads. By adopting OR-CS, we can expect lowered delivery costs, reduced traffic congestion, and enhanced environmental sustainability.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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