Vehicle Route Prediction Database Using Directional Statistics
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Solution Overview
Problem
Current technologies face challenges in predicting a vehicle's route of travel, especially in areas without road data, rapidly changing landscapes, or where cartographic data is outdated, leading to inefficient gear shifting and potential engine stalling.
Innovation Solution
A method involving a database that stores location-dependent parameters and directional statistics to predict the most likely route of travel, using GPS, sensors, and statistical analysis to associate vehicle position with route choices, even in data-scarce environments, and continuously updating the database for accurate predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If map data is manually updated, then map accuracy is maintained, but time consumption and labor costs increase significantly
Solution Approach 1:
The patent replaces manual mechanical map updating processes with automated electronic map generation systems. The system automatically acquires road information from multiple data sources, processes it through computational algorithms, and generates updated map data electronically, eliminating the need for manual field surveys and paper-based updating methods.
Solution Approach 2:
The patent creates electronic copies of road information from various data sources (satellite imagery, GPS data, road sensors) and processes these copies to generate map data. Instead of creating maps from scratch through manual methods, the system copies and synthesizes information from existing digital sources to produce updated map representations.
2Reliability
If map data is updated frequently, then map freshness is improved, but data acquisition costs and processing complexity increase
Solution Approach 1:
The patent creates a multi-functional map data processing system that can handle multiple types of road information data (satellite imagery, GPS trajectories, sensor data) through a single integrated processing platform. The system performs acquisition, validation, processing, and integration functions universally across different data sources, reducing the need for separate specialized systems for each data type.
Solution Approach 2:
The system incorporates automated validation and quality control mechanisms that allow the map data processing to self-correct and self-validate without extensive manual intervention. The processing system automatically identifies data quality issues, validates consistency across multiple sources, and resolves conflicts through predefined algorithms, reducing the complexity of manual quality assurance processes.
3Loss of information
If multiple data sources are integrated, then map completeness is improved, but data processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary filtering and preprocessing of road information data from multiple sources before full integration. The system pre-validates data quality, pre-processes raw data into standardized formats, and pre-identifies relevant features before the main integration process, reducing the computational burden and processing time during complete map updates.
Solution Approach 2:
The patent divides the map data processing into separate modular components that handle different types of road information independently. The system segments processing tasks by geographic region, data type, or feature category, allowing parallel processing of multiple data streams simultaneously, thereby reducing overall processing time while maintaining completeness.
Data Source
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Figure 2B~2C
Figure 2D~2E
AI summary
A method (400) and calculating unit (310) for building a database (350) to enable prediction of a route of travel for a vehicle (100). The method (400) comprises: determination (401 ) of the geographic position of the vehicle by means of a positioning unit (330); determination (402) of the direction of vehicle travel at the determined (401 ) geographic position; measurement (403) of at least one location-dependent parameter at the determined (401 ) geographic position; and storage (404), in the database (350), of the measured (403) location-dependent parameter in association with the determined (402) direction of vehicle travel and the determined (401 ) geographic position of the vehicle. The document further concerns a method (600) and a calculating unit (310) for predicting a route of travel for the vehicle (100).