Platooning TRIZ Cases

A double-auction incentive mechanism redistributes platooning benefits to resolve vehicle conflicts and keep formations stable and efficient.

Switching between normal and group-travel speed control helps motorcycles stop or crawl appropriately despite flexible riding positions.

Planned speed control profiles help autonomous vehicles reach target positions for lane changes and platooning while limiting wear, energy use, and delay.

A mechanical hard connect replaces unreliable wireless links to control follower steering, braking, and powertrain with stable platoon tracking.

Real-time lead vehicle speed, track, and heading feedback keeps an intelligent vehicle queue aligned, stable, and safely spaced.

When a target motorcycle drops out of sensor view, acceleration suppression helps preserve convoy spacing and avoid unintended overtaking.

Tracks full vehicle length and obstacle positions at intersections to time movement changes and prevent collisions in congested routes.

Steering angle patterns let the controller infer forward or reverse intent, reducing driver distraction during parking maneuvers.

Shared position and attitude data lets moving vehicle assembly lines reorder sensor-equipped vehicles to keep production sequence stable.

When a stopped or slow vehicle blocks the lane, the control device plans a safe overtaking route so travel can continue without hard slowing.

Coordinated tail-side transmission shifting keeps driving force response aligned across platooned vehicles and stabilizes intervehicle distance.

Steering angle patterns let the controller auto-select forward or reverse during parking, reducing manual gear input and driver distraction.

Sensor data predicts vehicles likely to cut between hitchless towing partners, enabling speed or path countermeasures to maintain the tow.

Steering angle patterns let the controller infer drive or reverse during parking, cutting manual shifts and driver distraction.

A controller reads steering angle patterns to switch between drive and reverse with simple confirmation, reducing parking-time distraction.

A controller infers forward or reverse from steering angle patterns, then uses a brake tap to confirm low-distraction parking shifts.

Steering angle patterns let the controller infer forward or reverse during parking, reducing manual gear input and driver distraction.

Steering angle patterns let the controller infer drive or reverse during parking, reducing manual shifting and driver distraction.

Steering angle patterns let the controller infer forward or reverse during parking, cutting manual shifting and driver distraction.

Real-time acceleration guidance coordinates queued vehicles at traffic lights to raise intersection throughput, cut delay, and save energy.

Edge-based target localization revises presumed position in lidar point clouds, improving long-range calibration accuracy under misalignment and occlusion.

Selective rear-approach alerts consider adjacent-lane traffic so drivers are warned only when action is possible, reducing annoyance and congestion.

Edge matching between actual and expected point clouds refines lidar calibration target position, improving long-range calibration under occlusion.

Lane-aware follow proposals prevent vehicles from joining or staying in passing lanes during platoon travel, improving traffic flow and safety.

Detects vehicles likely to cut in and adjusts following distance by acceleration or deceleration to keep autonomous platoons stable.

Segmented control profiles help autonomous vehicles reach target speed and relative position while balancing response time, wear, and energy use.

Brake performance values shared between platooning vehicles simplify safe headway calculation while accounting for gross weight and braking limits.

During automated-to-manual mode changes, the controller lengthens target following distance to keep vehicle state stable and spacing appropriate.

A wireless platooning link coordinates cruise control torque limits and gap keeping so vehicles can follow closely with safer, more efficient spacing.

Wireless control and sensing let a follow vehicle track a lead vehicle without physical towing links, reducing driver fatigue and convoy complexity.

Wireless lead-vehicle tracking lets a follow vehicle tow without physical links, reducing towing complexity, driver stress, and reaction delays.

Bi-directional platoon control adapts spacing and motion plans to road grade and vehicle capability changes, improving fuel economy.

Sending acknowledgement messages to both vehicles in a platoon maneuver improves coordination when direct links fail from collisions or blocked sight.

Distributed vehicle verification and peer messaging form secure platoons while avoiding single-point failure in 5G NR communication.

A target vehicle coordinates platoon status control and remote takeover to handle emergencies without losing flexible scheduling.

Wind data guides lateral spacing in a vehicle convoy to preserve aerodynamic drag reduction and fuel savings under crosswind conditions.

By tracking each vehicle’s energy state and drivable distance, the controller reorders platoons to cut energy use and charging stops.

Historical towing-vehicle positions estimate wagon location, reserving only needed path sections to prevent AGV collisions on curves.

Dynamic cohort control adjusts spacing, speed, and engine operation over a route to cut total vehicle energy use under changing conditions.

Sensor data and V2X messages form vehicular micro clouds that predict driver conflicts and coordinate altruistic maneuvers with road infrastructure.

Real-time convoy data is checked against policy rules and learned operating trends to detect vehicle intrusions with fewer false alarms.

Sensor data from multiple vehicles feeds a traffic model that coordinates cruise settings, improving fuel economy, travel time, and road throughput.