Autonomous Vehicle Speed Preference Control in Mixed Traffic
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Solution Overview
Problem
Existing autonomous vehicles lack the ability to dynamically adjust speed based on predefined driver preferences and real-time traffic conditions, leading to inefficiencies and potential safety hazards.
Innovation Solution
An autonomous vehicle system that receives driver input for speed preferences corresponding to different triggering situations, processes sensor data to identify relevant objects, determines a preferred speed based on these preferences, and adjusts the vehicle's speed accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the autonomous vehicle uses fixed speed control, then the system is simple to operate, but the vehicle cannot adapt to different traffic conditions
Solution Approach 1:
The patent implements dynamic speed adjustment by allowing the autonomous vehicle to modify its speed based on real-time traffic conditions detected by sensors. The system transitions from fixed speed control to dynamic speed control where the vehicle automatically adjusts speed according to the behavior of surrounding vehicles, thereby improving adaptability without requiring complex manual intervention.
Solution Approach 2:
The system employs feedback mechanisms where sensor data from the environment is continuously monitored and fed back to the control system. This feedback loop enables the vehicle to detect traffic conditions and automatically adjust speed preferences, resolving the contradiction between adaptability and system complexity by using automated feedback-based control.
2Reliability
If the autonomous vehicle automatically adjusts speed based on traffic conditions, then safety is improved, but the system requires complex sensor processing and decision-making algorithms
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple speed preferences corresponding to different triggering situations before the vehicle operates. Instead of requiring complex real-time decision-making algorithms, the system has pre-programmed speed preferences for various traffic scenarios, allowing it to safely adapt to conditions by selecting from predefined options rather than generating decisions from scratch.
Solution Approach 2:
The system segments the continuous speed control problem into discrete speed preferences associated with specific triggering situations. By dividing the control space into manageable segments (different speed preferences for different conditions), the system reduces the complexity of sensor processing and decision-making while maintaining safety through comprehensive coverage of various traffic scenarios.
3Productivity
If the vehicle matches the speed of surrounding traffic, then efficiency and flow are improved, but the vehicle may exceed speed limits
Solution Approach 1:
The patent implements parameter changes by dynamically adjusting speed preferences based on detected traffic conditions while incorporating speed limit constraints. The system modifies speed parameters in real-time to match traffic flow when safe, but automatically adjusts or limits speed when approaching or exceeding legal limits, thereby resolving the contradiction between travel efficiency and compliance with speed limits.
Data Source
AI summary
Aspects of the disclosure relate generally to speed control in an autonomous vehicle. For example, an autonomous vehicle may include a user interface which allows the driver to input speed preferences. These preferences may include the maximum speed above the speed limit the user would like the autonomous vehicle to drive when other vehicles are present and driving above or below certain speeds. The other vehicles may be in adjacent or the same lane the vehicle, and need not be in front of the vehicle.