International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

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 Volume 12, Issue 6 (June 2025), Pages: 154-168

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 Original Research Paper

Logistic caravan: A smart transportation system for green logistics and sustainable practices

 Author(s): 

 Mashael M. Khayyat 1, *, Jana Jambi 2, Nihal Kutbi 2, Rogayah Garout 2, Layan Al-Noumani 2, Rania Asiri 2, Mohammed Balfaqih 3

 Affiliation(s):

1Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
2Department of Software Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
3Department of Computer and Network Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia

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 * Corresponding Author. 

   Corresponding author's ORCID profile:  https://orcid.org/0000-0003-3770-432X

 Digital Object Identifier (DOI)

  https://doi.org/10.21833/ijaas.2025.06.015

 Abstract

This study introduces the logistic caravan, a delivery solution based on an advanced method called "Intelligent Penguin Optimizer tuned Logistic Regression (IPO-LR)." This system aims to improve delivery services in rural areas by offering timely, affordable, and environmentally friendly solutions. It uses advanced technologies such as predictive analytics and geospatial mapping to optimize routes, forecast demand, and plan schedules. Key features include joint ordering, real-time tracking, and scheduled deliveries, all designed to improve operational efficiency and customer satisfaction. The system also promotes green practices, such as using optimized routes, electric or hybrid vehicles, and recyclable packaging to reduce environmental impact. With strong data privacy and security measures, the system builds customer trust and supports wide adoption. By addressing current gaps in delivery services, the logistic caravan offers a complete solution that combines lower costs, better efficiency, and sustainability. It supports Saudi Arabia’s Vision 2030 by enhancing logistics in underserved areas. The IPO-LR model shows strong performance, with low error rates (MAE = 0.69, RMSE = 0.81, MAPE = 0.6501), proving its accuracy in route planning and delivery time prediction. The main contributions of this system include better access for remote areas, environmentally responsible logistics, stronger customer loyalty through personalized services, and a scalable model for future delivery systems. The logistic caravan sets a new standard for reliable and sustainable delivery to challenging locations.

 © 2025 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Remote delivery, Route optimization, Green logistics, Predictive analytics, Customer satisfaction

 Article history

 Received 14 January 2025, Received in revised form 24 May 2025, Accepted 30 May 2025

 Funding

This work was funded by the University of Jeddah, Jeddah, Saudi Arabia, under grant No. (UJ-21-ICL-9). The authors, therefore, acknowledge with thanks the University of Jeddah's technical and financial support. 

 Acknowledgment

We thank Mr. Fahad Ezzi Abrah and Dr. Shashi Kant Gupta for their technical recommendations. 

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Khayyat MM, Jambi J, Kutbi N, Garout R, Al-Noumani L, Asiri R, and Balfaqih M (2025). Logistic caravan: A smart transportation system for green logistics and sustainable practices. International Journal of Advanced and Applied Sciences, 12(6): 154-168

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 Figures

  Fig. 1  Fig. 2  Fig. 3  Fig. 4  Fig. 5 

 Tables

  Table 1  Table 2  Table 3  Table 4  Table 5

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