Autonomous Driving System Location-Based Behavior Adaptation
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Solution Overview
Problem
Partially-autonomous driving systems in vehicles do not adapt their behavior to match typical driving habits in different locations, leading to potential driver frustration and suboptimal traffic flow.
Innovation Solution
A system comprising sensors, a braking system, an acceleration control system, and an electronic processor that communicates with a server to receive and adapt driving behavior data, adjusting the vehicle's actions such as braking, acceleration, and steering to match average driving behaviors in specific locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If partially-autonomous driving systems use fixed driving behavior parameters, then system complexity is reduced and ease of operation is improved, but adaptability to different locations deteriorates
Solution Approach 1:
The system dynamically adjusts driving behavior parameters based on location data. The electronic processor modifies acceleration, braking, and steering characteristics in real-time according to the vehicle's geographical position, transitioning from static fixed parameters to dynamic location-dependent parameters, thereby resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The system changes operational parameters (acceleration rate, braking force, steering angle) based on location-specific driving patterns. By storing multiple sets of driving parameters for different locations and selecting appropriate parameters based on current position, the system achieves local adaptability without requiring complete redesign of the control architecture.
2Ease of operation
If partially-autonomous driving systems adapt behavior to match local driving patterns, then driver frustration is reduced and ease of operation is improved, but loss of information increases due to server communication requirements
Solution Approach 1:
The system performs preliminary actions by pre-fetching and storing location-based driving parameter data before it is needed. When the vehicle enters a new location, the electronic processor has already retrieved the appropriate driving patterns from the server, reducing real-time communication needs and minimizing information loss during critical driving moments.
Solution Approach 2:
The system creates local copies of driving behavior data from the server. Instead of continuously communicating with the server, the electronic processor stores copies of location-specific driving parameters in vehicle memory and uses these copies for real-time control decisions, thereby reducing data communication overhead while maintaining driver acceptance.
3Adaptability or versatility
If the system continuously communicates with the server to update driving behavior, then adaptability to local conditions is improved, but use of energy increases
Solution Approach 1:
The system implements periodic action by communicating with the server at specific intervals or when entering new geographical zones, rather than continuously. The electronic processor updates driving behavior parameters periodically based on location changes, reducing energy consumption while maintaining adequate adaptability to local conditions.
Solution Approach 2:
The system uses the vehicle's existing location data (from GPS or other positioning systems) to autonomously determine when and where to update driving parameters. The electronic processor self-manages the communication schedule based on positional information, reducing unnecessary server interactions and energy consumption while maintaining location-based adaptability.
Data Source
AI summary
A system for adapting a driving behavior of an autonomous driving system of a vehicle. The system includes a sensor, a braking system, an acceleration control system, a steering system, and an electronic processor. The electronic processor is configured to receive data from the sensor, send the data to a server, and send, to the server, a request for a value associated with an action the vehicle is performing and a location of the vehicle. The electronic processor is also configured to receive the value from the server and adapt the driving behavior of the autonomous driving system of the vehicle based on the value by controlling at least one selected from a group comprising the braking system, the acceleration control system, and the steering system.