GPS Route Optimization via Automatic Data Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Fleet vehicle operators face challenges in efficiently updating optimal routes due to changes in traffic patterns, as existing methods require extensive use of route planning software and manual comparison of actual driver performance with predefined routes.
Innovation Solution
A method that utilizes data collected from vehicle operations, specifically geographical position data, to automatically define and dynamically update optimal routes, eliminating the need for route planning software by comparing actual route data with predefined data and incorporating improvements over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If route planning software is used to define and update optimal routes, then route optimization can be achieved, but device complexity and ease of operation deteriorate due to learning curves and multiple software requirements
Solution Approach 1:
The system automatically defines optimal routes by analyzing GPS data from vehicles without requiring manual intervention from fleet operators. The computers automatically compare actual route data with predefined routes, identify deviations, and generate updated optimal routes based on observed traffic patterns, eliminating the need for operators to manually use route planning software.
Solution Approach 2:
The patent replaces manual route planning software operations with an automated computer-based system that uses GPS data analysis and algorithmic processing. Instead of operators manually inputting data into route planning software, the system automatically collects GPS data, processes it through computers, and generates optimized routes, substituting mechanical/software operations with automated electronic processing.
2Adaptability or versatility
If route planning software is used to update routes due to traffic changes, then adaptability improves, but ease of operation worsens due to continuous manual intervention requirements
Solution Approach 1:
The system continuously monitors actual vehicle routes using GPS data and compares them with predefined optimal routes. When deviations are detected that suggest better routes exist, the system feeds this information back into the route definition process, automatically updating optimal routes based on real-world performance data and traffic conditions observed from actual vehicle operations.
Solution Approach 2:
The system automatically detects traffic pattern changes and updates optimal routes without requiring manual intervention from fleet operators. The computers analyze GPS data from vehicles, identify more efficient routes, and automatically redefine optimal routes based on observed traffic conditions, making the system self-updating and adaptive.
3Measurement precision
If multiple programs are used to compare actual driver performance with optimal routes, then measurement precision improves, but device complexity and productivity worsen
Solution Approach 1:
The patent combines route definition, route comparison, and performance evaluation functions into a single integrated computer system. Instead of using separate programs for each function, the system performs GPS data collection, optimal route definition, actual route comparison, and driver performance evaluation all through one unified computer-based platform, simplifying the operational workflow.
Solution Approach 2:
The computer system is designed to perform multiple functions: it defines optimal routes by analyzing GPS data, compares actual vehicle routes against predefined optimal routes, identifies deviations, evaluates driver performance, and updates optimal routes based on observed patterns. This multi-functional system replaces multiple specialized programs with a single universal platform.
Data Source
AI summary
A vehicle with a positional tracking unit traverses a specific route while collecting actual route data that includes position data indicative of the actual route followed. The actual route data (including the position data) is stored as optimal route data for that specific route. Once the optimal route is defined and stored, future positional data (i.e., actual route data) collected during subsequent vehicle traversal of that specific route can be compared to the optimal route data. Whenever subsequently collected actual route data represents an improvement, as determined by one or more predefined criteria, the actual route data replaces the previously obtained optimal route data. Exception reports can be automatically generated by comparing the optimal route data to subsequently collected actual route data to determine when a deviation has occurred.