Delivery Route Optimization Using GPS Breadcrumb and Traffic Point Data
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Solution Overview
Problem
Existing delivery route systems struggle to efficiently account for real-time variances such as traffic conditions, delivery point accuracy, and traffic control points, leading to inefficiencies and inaccurate carrier performance evaluation.
Innovation Solution
A method and system that utilize GPS breadcrumb data to identify and categorize delivery route features, determine travel durations, and dynamically adjust routes based on actual carrier movements, incorporating carrier feedback and historical data to optimize delivery routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS breadcrumb data is collected and analyzed to identify stops and route features, then measurement precision of route characteristics is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments GPS breadcrumb data into meaningful units by identifying stops along the route and categorizing route features (delivery points, traffic control points, segments). This segmentation transforms raw continuous GPS data into discrete, analyzable components that improve measurement precision without overwhelming the processing system with undifferentiated data
Solution Approach 2:
The system performs preliminary categorization of route features during data collection, classifying stops and segments into predefined categories (delivery points, traffic control points, travel segments). This preliminary action organizes raw GPS data into structured information before detailed analysis, reducing the complexity of subsequent processing while maintaining high measurement precision
2Productivity
If dynamic route adjustment is implemented based on real-time conditions, then route efficiency is improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent implements dynamic route adjustment by continuously comparing actual carrier movements against planned routes and modifying future route assignments based on observed variances. The system adapts route parameters (estimated times, stop sequences) in real-time based on actual performance data, transforming static route planning into a dynamic optimization process that improves efficiency without requiring overly complex real-time control systems
Solution Approach 2:
The system employs feedback mechanisms where actual carrier performance data (GPS breadcrumb data, stop times, route variances) is fed back into the route optimization algorithm. This feedback loop allows the system to learn from actual route performance and continuously improve future route assignments, balancing the need for dynamic adjustment with manageable system complexity through iterative refinement
3Reliability
If carrier feedback and historical data are incorporated into route optimization, then reliability of performance evaluation is improved, but information processing requirements and system complexity increase
Solution Approach 1:
The patent merges carrier feedback data with historical GPS breadcrumb data and route information into a unified analysis framework. By combining multiple data sources (carrier observations, actual GPS tracks, historical performance) into a single evaluation process, the system improves the reliability of performance evaluation while avoiding the need for separate processing systems for each data type, thus managing information processing requirements more efficiently
Data Source
AI summary
System and methods described herein relate to a driving speed matrix and a traffic control point matrix based on breadcrumb data. Standardized routes and times can be determined based on the breadcrumb data, and the standardized routes and times can be mapped onto a plurality of routes. Based on standardized times for routes, routes can be adjusted or optimized.