ISA Speed Policy Profiling for Dynamic Fleet Driving Control
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Solution Overview
Problem
Existing fleet vehicle speed control systems use a single speed policy across an organization, failing to account for varying driving instances, which can lead to inefficiencies and potential safety issues.
Innovation Solution
An automated method that identifies parameters of a driving instance, applies a predetermined speed policy based on these parameters, and updates the policy in real-time as conditions change, using an intelligent speed adaptation system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single speed policy is used across the entire vehicle fleet, then the speed control system is simple to implement, but it cannot adapt to varying driving conditions and instances
Solution Approach 1:
The patent segments the unified speed policy into multiple instance-specific speed policies, where each driving instance (vehicle, driver, route, time) has its own tailored speed policy. This segmentation allows the system to adapt to varying driving conditions while maintaining manageable complexity through modular policy structures.
Solution Approach 2:
The system dynamically adjusts speed policies based on real-time driving instance parameters. Rather than using a static single policy, the system continuously evaluates driving conditions and applies appropriate speed policies, making the speed control system adaptive and responsive to changing conditions.
2Reliability
If multiple speed policies are implemented for different driving instances, then safety and efficiency are improved, but the system complexity increases
Solution Approach 1:
The system incorporates feedback mechanisms that continuously monitor driving instance parameters and adjust speed policies accordingly. This feedback loop ensures safety by responding to actual driving conditions while managing complexity through automated decision-making algorithms that learn from accumulated data.
Solution Approach 2:
The system changes key parameters (speed limits, enforcement strictness) based on driving instance characteristics. By adjusting parameters rather than creating entirely separate control systems, the patent achieves multiple speed policies with reduced overall system complexity.
3Speed
If real-time updates of speed policy are performed based on changing parameters, then responsiveness to driving conditions is improved, but computational requirements and system complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-defining multiple speed policies and their associated parameter thresholds before real-time operation. During actual driving, the system only needs to evaluate which pre-defined policy matches current conditions, significantly reducing real-time computational requirements while maintaining high responsiveness.
Data Source
AI summary
An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g., time of day, road information, inclement weather, and traffic congestion).