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Project 3-1: Optimal and Safe Route for Freight Transportation in Rural Areas
Project 3-1: Optimal and Safe Route for Freight Transportation in Rural Areas
Principal Investigator: Evangelos Kaisar (Florida Atlantic University)
Other Investigators: Mei Chen (UK), Zhen Ni (FAU), Venktesh Pandey (NCAT)
Project Partners: Florida Atlantic University (FAU), North Carolina A&T State University (NCAT), University of Kentucky (UKY)
Research Project Funding: $458,045 (Federal: $254,414; Non-Federal: $203,631)
Project Status: Completed
Project Start and End Date: 08/01/2023 to 06/30/2025
Project Summary: The project aims to develop an optimal and safe route for freight transportation in rural areas. Transportation of goods in remote regions often faces challenges such as inadequate road infrastructure, limited access to real-time information, and potential safety hazards. This project seeks to address these issues by utilizing advanced technologies and data-driven approaches. The primary objective is to design an intelligent routing system that takes into account various factors, including road conditions, weather conditions, traffic congestion, and the nature of the cargo being transported. To achieve this, the project will employ a combination of geographic information systems (GIS), machine learning algorithms, and sensor technologies.
Seminar: Optimizing Rural Freight Systems: Case Studies from North Carolina, Florida, and Kentucky
Project Publications
Project Publications
Saeidi, S., & Kaisar, E. (Under review). Rural multi-period inventory pickup and delivery problem with multi-attribute alternative routes: A case study. Journal of Transportation Planning and Technology.
Saeidi, S., Kaisar, E., & Moreno, F. (2025). A multi-objective inventory routing problem considering multi-attribute alternative links (time and risk) with backhaul orders. Presented at 7th Interdisciplinary Conference (ICPLT), Darmstadt, Germany.
Saeidi, S., Kaisar, E., & Moreno, F. (2025). A novel multi-objective inventory routing problem with backhaul orders in a multi-attribute multigraph considering access tax. 2025. Presented at 23rd European Control Conference (ECC), Thessaloniki, Greece, June 24–27, 2025.
Saeidi, S., & Kaisar, E. (2026). Rural multi-period inventory pickup and delivery problem with multi-attribute alternative routes: A case study. 105th Transportation Research Board (TRB) Annual Meeting, Washington, D.C., January 5–9, 2026. (Accepted).
Saeidi, S., Moreno, F., Kaisar, E., Ni, Z., & Shahin, M. (2025). Risk-aware inventory routing in rural transportation system with link-access tolls: A rural logistics case study. The 30th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2025), Taipei, Taiwan, December 13–14, 2025. (Accepted).
Acknowledgement: Funding for this research was provided by the U.S. Department of Transportation, Office of the Assistant Secretary for Research and Technology (OST-R), University Transportation Centers Program, through the Center for Regional and Rural Connected Communities (CR2C2) under Grant No. 69A3552348304.
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