Driving System Control Using Location Data Inputs
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Solution Overview
Problem
Existing vehicle control systems rely on imperfect driver input and vehicle operation data, which can be error-prone and fail to reflect the driver's intentions or future actions, limiting the accuracy and efficiency of driving system operations.
Innovation Solution
The use of location data from sensors like GPS, cellular data signals, or Wi-Fi, combined with local map, real-time, route, and crowd data, to identify inputs for driving systems such as automatic transmissions or assistive systems, allowing for more accurate and efficient vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driver input and vehicle operation data are used to control driving systems, then the system can operate with basic inputs, but the accuracy and reliability of control decisions deteriorates due to error-prone and limited driver input
Solution Approach 1:
The patent combines multiple information sources including driver input, vehicle operation data, and location data (GPS, cellular, Wi-Fi) into a unified control system. This merging of diverse data streams compensates for the limitations of individual inputs, particularly driver input which is error-prone and intellectually taxing. The location data provides contextual information about the vehicle's surroundings that driver input alone cannot capture, thereby improving measurement precision of control decisions.
Solution Approach 2:
The patent introduces location data as an intermediary information source that mediates between the driver's limited understanding and the vehicle's control needs. Rather than relying solely on direct driver input, the system uses location-based data (map data, real-time traffic conditions, weather conditions) as an intermediate layer that supplements and corrects driver input, reducing errors and improving the accuracy of control decisions.
2Ease of operation
If driver input is used to control driving systems, then the system can respond to driver intentions, but the driver's workload increases due to the intellectually and physically taxing nature of providing accurate input
Solution Approach 1:
The patent enables the vehicle's control system to serve itself by automatically gathering and processing location data, map data, and real-time information without requiring continuous driver input. The system uses GPS receivers, cellular data signals, and Wi-Fi to autonomously determine vehicle location and contextual information, thereby reducing the intellectually and physically taxing burden on the driver while maintaining or improving the reliability of control decisions.
Solution Approach 2:
The patent implements feedback mechanisms where the control system continuously monitors location data, vehicle operation data, and environmental conditions to adjust control decisions. This feedback loop allows the system to learn from and adapt to driving conditions, reducing the need for constant driver intervention while improving the reliability of automated control decisions over time.
3Productivity
If traditional vehicle control systems are used, then the system structure remains simple, but the productivity and efficiency of driving system operation deteriorates due to inability to optimize based on location and environmental data
Solution Approach 1:
The patent makes the vehicle control system multi-functional by integrating location-based services, map data processing, real-time traffic information, and environmental condition monitoring into a single unified system. This universal system can perform multiple functions: navigation, traffic flow optimization, weather-based driving adjustments, and fuel efficiency optimization. While the system structure becomes more complex, the productivity and efficiency gains from these multiple functions outweigh the added complexity.
Solution Approach 2:
The patent uses location data and map data to perform preliminary actions and preparations for upcoming driving conditions. By knowing the vehicle's location and anticipated route, the system can proactively optimize transmission gear ratios, prepare for upcoming traffic conditions, and adjust driving parameters before they are needed, thereby improving overall driving system efficiency and productivity.
Data Source
AI summary
Systems and methods relating to controlling a driving system operatively coupled to a vehicle are disclosed. A location is identified using one or more sensors included with the vehicle. An input of the driving system is identified using the location. A desired output of the driving system is determined using the input.