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

Guillaume Habault, Yuya Taniguchi, Naoaki Yamanaka

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538663585
DOI
出版ステータスPublished - 2018 7月 2
イベント88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
継続期間: 2018 8月 272018 8月 30

出版物シリーズ

名前IEEE Vehicular Technology Conference
2018-August
ISSN(印刷版)1550-2252

Conference

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

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 応用数学

フィンガープリント

「Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル