Cruise Control TRIZ Cases

A dynamic lockout period keeps vehicle control functions disengaged after shutdown to prevent accidental re-engagement and operator confusion.

Turn-signal-triggered relevance weighting lets ACC anticipate lane changes, reducing unnecessary braking while preserving safe following distance.

Separating driver and system brake commands lets speed control stay active for convenience or switch off to prevent unintended acceleration.

A precomputed initial acceleration and transition profile smooth vehicle response to requested acceleration despite communication latency.

Thumb-reachable HMI controls switch vehicle display modes in one action, reducing menu navigation and rider distraction.

Wheel angle difference and rate thresholds help distinguish false disengagement requests and prevent unintended vehicle control release.

A timed cruise speed readout disappears after input stops while the indicator stays visible, cutting key presses, cognitive load, and battery use.

When prerequisite controls are off, stored permissions let the controller enable them automatically so vehicle speed control can start without manual steps.

Real-time detection of nearby overtaking vehicles guides ego vehicle speed and position changes to create safer margins or abort passing.

Continuous speed averaging triggers cruise control only during stable high-speed driving, cutting fuel use while staying within road limits.

A persistent speed indicator with temporary text simplifies cruise control adjustment while cutting display power use in battery-operated devices.

Multiple setpoint distances are computed from vehicle speeds and braking capacity to keep safer following gaps when wheel slip limits deceleration.

Speed and following distance are checked over time to suggest or trigger cruise control when conditions are stable, reducing driver workload.

Presents the main factors behind automated travel state changes so users can understand ML driving decisions and provide feedback.

Predictive speed control uses lane-change probability, shortest distance, and ideal speed to avoid harsh slowdowns while maintaining safety.

Probabilistic friction estimates and route curvature are combined to predict a safe future vehicle speed under changing road conditions.

Adaptive switching from the current-lane lead vehicle to the target-lane lead vehicle smooths acceleration during automated lane changes.

Sensors and autopilot maintain safe following distance behind a leading vehicle in no-pass zones, reducing driver fatigue and manual control.

Switching to a lighter driving mode only after target speed is reached helps reduce occupant workload while keeping mode changes appropriate.

Road safety data, pose variation, and tangential acceleration are combined to set a target speed that protects both safe driving and passenger comfort.

Traffic congestion information keeps follow-up driving active within speed and distance limits, reducing unnecessary control mode switching.

By tracking recent speed stability against legal speed limits, cruise control can engage automatically to maintain efficient highway cruising.

A vehicle traveling control apparatus displays a target speed value that gradually changes toward a detected speed limit on a screen.

A vehicle control device manages following distance by applying separate acceleration constraints for lane keep and lane change maneuvers.

Distinct restart switch operations prevent unwanted control reactivation by aligning system behavior with specific driver intentions.

A travel control device adjusts host vehicle speed to match a new leading vehicle within a set range.

Controller maintains target speed via brake input integration, resolving wheel slip disabling in off-road environments.

Prevents accidental automated driving deactivation by raising thresholds during initial operation or low driver responsiveness.

A longitudinal driver assistance system calculates location-dependent times for speed adaptation requests.

A vehicle speed control system applies positive and negative torque to wheels based on detected terrain gradients.

A vehicle computer system monitors steering wheel rotational rate and lateral offset to determine a dwelling period before reactivating driver assist mode.

A control interface uses a double-throw electromechanical relay to switch between manual and autonomous vehicle operation modes.

Adaptive cruise control detects merging vehicles using image sensors and radar data to adjust host vehicle speed automatically.

A following score filters erratic target vehicle behavior to stabilize host vehicle speed control.

A supervisory module manages adaptive cruise control by detecting gear changes and neutralizing setpoint comparisons to maintain driver override.

A processor-based velocity control mechanism manages forward and rearward speeds using a segmented actuator interface.

A travel control device switches vehicle modes to enable smooth overtaking maneuvers.

Sensor systems detect highway exits to limit cruise control speed, preventing unnecessary acceleration and braking cycles that waste fuel.

A control method maintains manual driving characteristics during automatic driving transitions to suppress occupant unease.

A vehicle control apparatus calculates target speed using object speed and distance to manage own vehicle travel.

A coordination mechanism synchronizes distance control and lane departure warning systems using shared turn signal timing parameters.

A cruise control adjuster uses GPS location data to generate automatic actions for vehicle speed and gap distance.

A vehicle control system provides increased acceleration when detecting driver overtaking intent to enable quicker lane changes.

A driving assistance apparatus detects user intent through gaze direction and pedal manipulation to adjust control settings.