Satellite Navigation Route Calculation for Vehicle-Specific Constraints
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Solution Overview
Problem
Conventional motor vehicle navigation systems fail to calculate suitable routes based on the vehicle's structure and characteristics, often directing drivers to roads or highways that are inappropriate for their vehicle, leading to potential traffic congestion and collisions.
Innovation Solution
A satellite-based navigation system that calculates a best route by considering both static vehicle information (such as height, weight, and fuel type) and real-time dynamic information (like load, fuel level, and traffic conditions), using logical rules to avoid unsuitable links and ensure safe passage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional navigators calculate routes based solely on map coordinate and geographic information, then the routing calculation is simple and fast, but the routes may be unsuitable for specific motor vehicles (e.g., directing trucks to roads with too low bridges or narrow passages)
Solution Approach 1:
The system changes the routing parameters from generic geographic coordinates to vehicle-specific parameters including height, weight, length, and fuel type. The routing algorithm processes these additional parameters to filter and select appropriate road links, transforming the route calculation from a simple geographic problem to a multi-constraint optimization problem that ensures vehicle-specific suitability.
Solution Approach 2:
The routing process is segmented into multiple filtering stages: first filtering road links based on static vehicle characteristics (height, weight, length), then filtering based on dynamic characteristics (current fuel level, load). This segmentation allows the system to handle complex routing constraints systematically by processing them in discrete, manageable steps rather than attempting to evaluate all constraints simultaneously.
2Reliability
If the navigator includes comprehensive vehicle structure and characteristic information processing, then route accuracy and safety improve, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary filtering of road links based on static vehicle characteristics (height, weight, length) before final route selection. By pre-establishing which road links are suitable for the vehicle type, the system reduces the computational burden during actual route calculation and avoids time-consuming evaluations of obviously unsuitable routes.
Solution Approach 2:
The routing system dynamically adjusts its calculation process based on real-time vehicle conditions. When dynamic information such as current fuel level or load changes, the system selectively recalculates only the affected portions of the route rather than recomputing the entire path, thereby maintaining route safety while minimizing processing time.
3Adaptability or versatility
If the navigator provides detailed real-time dynamic information processing, then the route adaptability to changing conditions improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The system incorporates feedback mechanisms that continuously monitor real-time vehicle conditions (fuel level, load, traffic conditions) and adjust the route accordingly. When dynamic information changes, the system receives feedback about the current state and recalculates the route to maintain optimal suitability, creating a closed-loop control system that adapts to changing conditions.
Solution Approach 2:
The routing system is designed to handle multiple types of vehicle characteristics and road constraints universally. The same filtering and selection mechanisms work for different vehicle types (cars, trucks, buses) and different road restrictions (height limits, weight restrictions, fuel type requirements), making the system adaptable to diverse conditions without requiring separate specialized processing for each scenario.
Data Source
AI summary
A method of operating a motor vehicle satellite navigation system using a motor vehicle's structure and characteristic information to calculate a best route to a desired destination. The method includes operating a graphical user interface (GUI), presenting display images for receiving input data for the desired destination and receiving satellite position data, and calculating a current location of the motor vehicle. The GUI presents a display image requesting motor vehicle structure and characteristic information. The method includes calculating and updating current best routes to a desired destination using map and POI databases comprising geographic coordinate grid and point of interest information from the current location and motor vehicle structure and characteristic information. The motor vehicle structure and characteristic information reflects static vehicle structure and characteristics such as size, fuel type, engine efficiency and fuel capacity, and dynamic information such as current fuel level and real-time traffic and road condition information.