Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism

Guillaume Habault, Yuya Taniguchi, Naoaki Yamanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The continuously growing online shopping is increasing the number of attended home deliveries. The last-mile delivery plays an important role in online shopping satisfaction and especially for food deliveries. This paper focuses on food delivery retailers and particularly investigates the possibility to enhance deliveries using information and data knowledge. In fact, in addition to optimize and to share delivery routes, delivery vehicles could be monitored in order to always maintain shortest delivery delays. We propose in this paper a delivery management architecture targeting these principles. This system is composed of several core mechanisms that should keep delivery delays to a minimum while maintaining low service times. A proof-of-concept of this delivery management system has been developed using Electric Scooters, smartphones and several algorithms. It demonstrates how this architecture could work in a food delivery scenario.

Original languageEnglish
Title of host publication2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538663585
DOIs
Publication statusPublished - 2019 Apr 12
Event88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
Duration: 2018 Aug 272018 Aug 30

Publication series

NameIEEE Vehicular Technology Conference
Volume2018-August
ISSN (Print)1550-2252

Conference

Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
CountryUnited States
CityChicago
Period18/8/2718/8/30

Fingerprint

Learning systems
Machine Learning
Monitoring
Smartphones
Optimise
Scenarios
Demonstrate
Architecture
Concepts
Knowledge

Keywords

  • Database architecture
  • Delivery Management System
  • Last-mile delivery
  • Machine-learning
  • Vehicle monitoring

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Habault, G., Taniguchi, Y., & Yamanaka, N. (2019). Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism. In 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings [8690619] (IEEE Vehicular Technology Conference; Vol. 2018-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2018.8690619

Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism. / Habault, Guillaume; Taniguchi, Yuya; Yamanaka, Naoaki.

2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8690619 (IEEE Vehicular Technology Conference; Vol. 2018-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Habault, G, Taniguchi, Y & Yamanaka, N 2019, Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism. in 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings., 8690619, IEEE Vehicular Technology Conference, vol. 2018-August, Institute of Electrical and Electronics Engineers Inc., 88th IEEE Vehicular Technology Conference, VTC-Fall 2018, Chicago, United States, 18/8/27. https://doi.org/10.1109/VTCFall.2018.8690619
Habault G, Taniguchi Y, Yamanaka N. Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism. In 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8690619. (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCFall.2018.8690619
Habault, Guillaume ; Taniguchi, Yuya ; Yamanaka, Naoaki. / Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism. 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (IEEE Vehicular Technology Conference).
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