Vehicle Navigation System Using Fuel Efficiency Data
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Solution Overview
Problem
Conventional vehicle navigation systems fail to account for differences in vehicle speed across various road types and geographical conditions, leading to inefficient fuel consumption and inaccurate route calculations.
Innovation Solution
A navigation system that utilizes transportation information, fuel efficiency data, and geographical information to calculate optimal routes by considering vehicle speed, waiting times, and road slopes, allowing drivers to choose between speed and fuel efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional navigation systems provide routes based only on vehicle moving speed, then the navigation process is simple, but the fuel consumption cannot be minimized and routes may be inefficient
Solution Approach 1:
The patent combines multiple data sources including transportation information, fuel efficiency information, and geographical information into a single navigation system. The server integrates real-time vehicle speed data, waiting time data, and fuel consumption data from multiple vehicles to generate comprehensive route recommendations that minimize fuel consumption while considering various road conditions and traffic patterns.
Solution Approach 2:
The system implements feedback mechanisms by continuously collecting real-time transportation information and fuel efficiency data from vehicles, processing this information through the server, and providing updated route recommendations. The system uses feedback loops to adjust route suggestions based on changing traffic conditions, vehicle speeds, and fuel consumption patterns observed in real-time.
2Measurement precision
If navigation systems consider only vehicle speed without geographical conditions, then the calculation process is simple, but the system may guide vehicles to undesirable paths with much higher fuel consumption
Solution Approach 1:
The patent segments the navigation calculation process into distinct components: transportation information processing, fuel efficiency information processing, and geographical information processing. Each type of information is collected, analyzed, and integrated separately before generating the final route recommendation, allowing for precise measurement of each factor's impact on fuel consumption.
Solution Approach 2:
The system dynamically changes multiple parameters including vehicle speed, waiting time, fuel consumption rate, and geographical conditions (ascent, flatland, descent) to determine the optimal route. By continuously adjusting these parameters based on real-time data and geographical information, the system achieves high route accuracy while maintaining calculation efficiency through optimized algorithms.
3Reliability
If the system provides real-time navigation based on multiple data sources, then fuel efficiency is optimized, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a central server as an intermediary between vehicles and drivers. The server collects and processes transportation information, fuel efficiency information, and geographical information from multiple sources, then provides synthesized route recommendations to drivers. This intermediary structure simplifies the overall system architecture by centralizing data processing and reducing the complexity burden on individual vehicle units.
Data Source
AI summary
A navigation system for a vehicle and a navigation method for the same are disclosed. The navigation system collects transportation information and fuel efficiency information from several source vehicles located in a specific region, generates an optimum route for the corresponding region, and informs a target vehicle having requested a navigation service of the optimum route, resulting in the implementation of more effective navigation service.