Adaptive Cruise Control with V2V and V2I Data Integration
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Solution Overview
Problem
Current vehicle systems fail to account for critical factors like distance between vehicles and infrastructure when adjusting speed, leading to suboptimal fuel efficiency and lack of automatic torque adjustment.
Innovation Solution
An adaptive cruise control system with an external object calculation module that processes vehicle-to-vehicle and vehicle-to-infrastructure data to automatically adjust speed and torque for improved fuel efficiency, utilizing sensors and communication modules to gather and analyze data on vehicle distance and traffic signal states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If traditional cruise control systems are used with basic sensor feedback, then the system simplicity is maintained, but fuel efficiency is not optimized due to lack of V2V and V2I data integration
Solution Approach 1:
The patent combines multiple data sources (V2V communication module, V2I communication module, object detection sensors, and navigation system) into a unified external object calculation module that processes all inputs to determine optimal vehicle speed, thereby integrating previously separate systems into a cohesive fuel efficiency optimization platform
Solution Approach 2:
The external object calculation module serves multiple functions: it processes V2V data for vehicle spacing, V2I data for infrastructure distance, sensor data for object detection, and navigation data for route optimization, all to achieve fuel efficiency improvement through adaptive speed control
2Extent of automation
If manual speed adjustment by driver is used, then system simplicity is maintained, but automatic torque adjustment for fuel efficiency cannot be achieved
Solution Approach 1:
The system implements continuous feedback loops where the external object calculation module constantly receives updated data from V2V/V2I communications and sensors, processes this information to determine optimal speed, and automatically adjusts torque and speed accordingly, creating a closed-loop automated control system
Solution Approach 2:
The system performs preliminary calculations of optimal speed and torque adjustments based on predicted traffic conditions, vehicle spacing, and infrastructure distances before actual speed changes are needed, allowing smooth automated transitions that maintain driver comfort
3Measurement precision
If distance to traffic signals and vehicles is not considered, then system complexity is reduced, but fuel efficiency optimization is compromised
Solution Approach 1:
The patent segments distance measurement into distinct functional modules: V2V communication module for vehicle-to-vehicle distance, V2I communication module for vehicle-to-infrastructure distance, and object detection sensors for physical object distance, with each module specialized for its specific measurement type
Data Source
AI summary
Systems and processes are provided for adaptive cruise control. The process includes receiving information about a distance between vehicle and a traffic signal, receiving information about a state of the traffic signal, and determining whether to adjust the speed of the vehicle based upon the distance between the vehicle and the traffic signal and the state of the traffic signal.