Volltext-Downloads (blau) und Frontdoor-Views (grau)
(Leider keine statistischen Daten vom 26.05. – 18.06.2018)
  • search hit 9 of 10
Back to Result List

On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data

  • In parcel delivery, the “last mile” from the parcel hub to the customer is costly, especially for time-sensitive delivery tasks that have to be completed within hours after arrival. Recently, crowdshipping has attracted increased attention as a new alternative to traditional delivery modes. In crowdshipping, private citizens (“the crowd”) perform short detours in their daily lives to contribute to parcel delivery in exchange for small incentives. However, achieving desirable crowd behavior is challenging as the crowd is highly dynamic and consists of autonomous, self-interested individuals. Leveraging crowdshipping for time-sensitive deliveries remains an open challenge. In this paper, we present an agent-based approach to on-time parcel delivery with crowds. Our system performs data stream processing on the couriers’ smartphone sensor data to predict delivery delays. Whenever a delay is predicted, the system attempts to forge an agreement for transferring the parcel from the current deliverer to a more promising courier nearby. Our experiments show that through accurate delay predictions and purposeful task transfers many delays can be prevented that would occur without our approach.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Jeremias Dötterl, Ralf BrunsGND, Jürgen DunkelGND, Sascha Ossowski
URN:urn:nbn:de:bsz:960-opus4-18456
DOI original:https://doi.org/10.3233/FAIA200075
ISBN:978-1-64368-101-6
Parent Title (English):24th European Conference on Artificial Intelligence
Publisher:IOS Press
Document Type:Conference Proceeding
Language:English
Year of Completion:2020
Release Date:2021/01/14
Tag:Crowdshipping
GND Keyword:Paket; Eilzustellung; Agent <Informatik>; Datenstrom
First Page:51
Last Page:58
Institutes:Fakultät IV - Wirtschaft und Informatik
DDC classes:004 Informatik
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International