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

Guillaume Habault, Yuya Taniguchi, Naoaki Yamanaka

研究成果: Conference contribution

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.

元の言語English
ホスト出版物のタイトル2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538663585
DOI
出版物ステータスPublished - 2019 4 12
イベント88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
継続期間: 2018 8 272018 8 30

出版物シリーズ

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

Conference

Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
United States
Chicago
期間18/8/2718/8/30

Fingerprint

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

ASJC Scopus subject areas

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

これを引用

Habault, G., Taniguchi, Y., & Yamanaka, N. (2019). Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism. : 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings [8690619] (IEEE Vehicular Technology Conference; 巻数 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; 巻 2018-August).

研究成果: Conference contribution

Habault, G, Taniguchi, Y & Yamanaka, N 2019, Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism. : 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings., 8690619, IEEE Vehicular Technology Conference, 巻. 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. : 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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