Neftaly Routing Optimization Based on Road Condition Data

Introduction

The efficiency of transportation and logistics systems greatly depends on the quality and reliability of road networks. Traditional routing algorithms typically prioritize shortest paths or fastest estimated times without considering current or historical road conditions, leading to potential inefficiencies or hazards. Neftaly introduces a smart routing optimization system that leverages road condition data to enhance routing accuracy, safety, and timeliness.

2. Problem Statement

Conventional GPS and routing systems often:

• Ignore temporary or long-term road conditions (potholes, flooding, ice, construction)
• Fail to adapt quickly to dynamic environments
• Increase fuel consumption and vehicle wear due to poor road surface selection

3. Objective

To develop an intelligent routing system—Neftaly—that:

• Integrates real-time and historical road condition data
• Provides optimized routes for safety, efficiency, and sustainability
• Reduces delays, accidents, and operational costs

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4. System Architecture

4.1 Data Sources

• Road Condition Sensors (IoT devices, camera

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