Traffic Management System for Vehicular Collision Avoidance
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Solution Overview
Problem
Existing traffic management systems fail to effectively combine vehicle operation data with traffic light data to prevent collisions and provide appropriate insurance benefits or control measures.
Innovation Solution
A traffic management system that receives vehicle operation data and traffic light data to determine the likelihood of collisions, providing navigational guidance to avoid collisions and calculating insurance benefits based on driver responses, with the option to take inertial control of the vehicle if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system takes inertial control of the vehicle to prevent collision, then collision avoidance is improved, but driver autonomy and ease of operation deteriorate
Solution Approach 1:
The system continuously monitors vehicle operation data and traffic light data, providing real-time feedback to the driver through notifications. The driver's response to these notifications is tracked and fed back into the system, allowing the driver to maintain autonomy while the system provides guidance. Inertial control is only activated as a last resort when the driver fails to respond appropriately, thus preserving driver autonomy while ensuring collision avoidance.
Solution Approach 2:
The system dynamically adjusts the level of control intervention based on the driver's response behavior. Initially, the system provides navigational guidance and allows full driver autonomy. If the driver responds appropriately to notifications, the system maintains this cooperative mode. However, if the driver fails to respond or responds inappropriately, the system dynamically transitions to inertial control mode, adjusting the degree of automation based on the urgency of the situation.
2Reliability
If the system provides detailed navigational guidance and monitoring, then collision avoidance is improved, but device complexity increases
Solution Approach 1:
The traffic management system performs multiple functions using a single integrated architecture: it collects vehicle operation data, retrieves traffic light data, determines collision likelihood, generates navigational guidance notifications, monitors driver responses, and calculates insurance benefits. By consolidating these diverse functions into one multi-functional system, the patent reduces overall complexity compared to having separate specialized systems for each function.
Solution Approach 2:
The system merges the collision detection function, the navigational guidance function, the driver monitoring function, and the insurance calculation function into a single integrated traffic management system. This consolidation allows shared processing resources, unified data management, and coordinated control strategies, thereby reducing the complexity that would arise from multiple independent systems operating in parallel.
3Productivity
If the system calculates insurance benefits based on driver response, then driver incentive and productivity are improved, but device complexity increases
Solution Approach 1:
The system automatically collects driver response data, processes it through the collision likelihood algorithm, determines appropriate insurance benefits, and implements the incentive program without requiring external manual intervention. The entire insurance benefit calculation and delivery process is self-service, handled autonomously by the traffic management system, which reduces the need for complex external administrative infrastructure.
Solution Approach 2:
The system establishes a feedback loop where driver responses to navigational guidance are continuously monitored, processed, and translated into insurance benefit adjustments. This automated feedback mechanism links driver behavior directly to financial incentives, creating a self-regulating system that encourages safe driving while minimizing the need for complex manual assessment procedures.
Data Source
AI summary
Systems and methods are provided for acquiring and analyzing vehicle operation data in conjunction with traffic light information to manage traffic and avoid collisions. A traffic management system determines whether a vehicle is likely to be involved in a collision, based on at least vehicle operation data and the status of traffic lights. If it is determined that a vehicle is likely to be involved in a collision, the traffic management system may issue a notification or warning to the vehicle, e.g., instructing the vehicle to increase or decrease its rate of acceleration, and/or apply its brakes. Where the vehicle does not respond to the notification or warning, the traffic management system may take control of the vehicle, and notify and warn other vehicles and/or systems of its actions. Where the vehicle responds to the notification or warning, the traffic management system may calculate and recommend an insurance benefit.