Predictive Turn Acceleration Control Using Map-Based Cruise Logic
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Solution Overview
Problem
Existing vehicle acceleration control systems are reactive and do not proactively adjust speed or acceleration before a turn, leading to excessive forces during turns, affecting ride comfort and vehicle wear.
Innovation Solution
Implementing a Full Speed Range Adaptive Cruise Control (FSRACC) engine that predicts turns using map data and vehicle movement data to limit acceleration proactively, adjusting limits based on turn curvature, vehicle velocity, and turn signals, and proximity to other vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vehicle acceleration control systems are reactive and do not proactively adjust speed before a turn, then the system complexity is reduced, but ride comfort deteriorates due to excessive forces during turns
Solution Approach 1:
The system performs preliminary action by predicting upcoming turns using map data and GPS location before the vehicle actually enters the turn. The acceleration limit is proactively adjusted based on the predicted turn characteristics (curvature, radius) obtained from map data, rather than reacting after the turn has begun. This preliminary adjustment of acceleration limits based on pre-acquired map data improves ride comfort by preventing excessive forces before they occur, while avoiding the need for complex real-time sensing and reaction systems.
2Ease of operation
If acceleration limits are adjusted based on map data and turn prediction, then ride quality is improved, but the device complexity increases due to additional sensors and processing
Solution Approach 1:
The system obtains turn information (curvature, radius) from map data in advance, before the vehicle reaches the turn. This preliminary acquisition of turn characteristics from pre-stored map data allows the system to calculate appropriate acceleration limits without requiring complex real-time sensors or processing. The GPS receiver and basic movement detection are sufficient to determine when the vehicle is approaching a predicted turn location, making the solution relatively simple while still improving ride quality through proactive acceleration management.
Solution Approach 2:
The system uses map data as an intermediary to bridge the gap between vehicle location and turn characteristics. Instead of directly sensing turn parameters in real-time, the system queries pre-stored map data using the vehicle's current GPS location as a key. This intermediary approach allows the system to obtain accurate turn information (curvature, radius) without complex sensing hardware, as the map data serves as a pre-computed reference that simplifies the real-time decision-making process.
3Strength
If the system proactively limits acceleration before turns using map data, then vehicle wear is reduced, but the loss of time occurs due to earlier speed reduction
Solution Approach 1:
The system dynamically adjusts the acceleration limit based on the vehicle's actual movement and detected turn entry. Rather than imposing a fixed early speed reduction, the system monitors vehicle movement data (from accelerometers, gyroscopes, or steering angle sensors) to determine when the vehicle actually begins to turn. The acceleration limit is applied dynamically during the turn maneuver itself, allowing the vehicle to maintain normal acceleration before the turn is detected, thereby minimizing time loss while still protecting against excessive wear during the actual turning maneuver.
Data Source
AI summary
Examples described herein provide a method for limiting vehicle acceleration during turns for a vehicle. The method includes determining whether the vehicle is about to begin a turn before the vehicle begins the turn. The method further includes, responsive to determining that the vehicle is about to begin the turn before the vehicle begins the turn, calculating an acceleration limit for the vehicle during the turn based at least in part on map data associated with the turn. The method further includes controlling the vehicle during the turn based at least in part on the acceleration limit.