Intersection Collision Avoidance System Using Real-Time Vehicle Tracking
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Solution Overview
Problem
Traffic control systems, particularly TSP systems, fail to account for real-time traffic behavior, leading to increased collision risks due to driver neglect of signal changes and are vulnerable to exploitation, resulting in resource and financial burdens from collisions and disruptions.
Innovation Solution
An Intersection Collision Avoidance System (ICAS) that receives tracking information from emergency vehicles and user vehicles to predict potential collisions, providing real-time safety information and using smart contracts to secure traffic flow, thereby reducing collision likelihood and mitigating disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If TSP systems change signals to grant right-of-way to EMV, then EMV can proceed through intersection, but drivers may fail to notice the abnormal change and proceed through increasing collision likelihood
Solution Approach 1:
The system continuously monitors real-time traffic behavior and provides feedback to dynamically adjust signal timing. Traffic signals are modified based on detected vehicle speeds, positions, and intersection conditions, creating a closed-loop control system that adapts to actual traffic flow rather than following fixed pre-programmed sequences
Solution Approach 2:
The traffic control system transitions from static, pre-programmed signal sequences to dynamic, real-time signal adjustment. Signal timing and phase changes are continuously modified based on live traffic conditions detected by sensors and cameras, allowing the system to adapt instantly to changing traffic patterns and emergency vehicle approaches
2Productivity
If TSP systems are used to provide right-of-way to EMV, then EMV can clear intersection quickly, but the systems are vulnerable to exploitation resulting in resource and financial burdens
Solution Approach 1:
The system uses automated sensor detection, image recognition, and algorithmic decision-making to independently identify emergency vehicles and manage intersection control. This eliminates reliance on manual driver requests or vulnerable communication systems, as the infrastructure autonomously detects EMV presence through multiple sensors and executes appropriate signal modifications without human intervention
Solution Approach 2:
The system introduces an intermediary layer of automated detection and verification between the emergency vehicle and traffic signal control. Multiple sensors (cameras, radar, LIDAR) and algorithms serve as intermediaries to verify genuine EMV presence before triggering signal changes, preventing exploitation by false requests while maintaining rapid response to authentic emergencies
3Device complexity
If traditional traffic control systems are used, then infrastructure is simple, but real-time traffic behavior is not accounted for leading to increased collision risks
Solution Approach 1:
The system replaces traditional mechanical and fixed-electronic traffic control with intelligent systems using computer vision, sensor fusion, and real-time computational algorithms. Cameras, radar, and LIDAR sensors substitute for simple detectors, while AI-based image recognition and predictive analytics replace fixed timing sequences, enabling the system to perceive and respond to complex real-time traffic behaviors
Data Source
AI summary
A first device may receive, from a second device associated with an emergency motor vehicle (EMV), EMV-tracking information and a communication that the EMV is in emergency response mode and may determine, based on the EMV-tracking information, that the EMV is approaching an intersection. The first device may receive, from a third device associated with a user vehicle, user-tracking information. The first device may determine, based on the user-tracking information, that the user vehicle is approaching the intersection. The first device may determine, based on the EMV-tracking information and the user-tracking information, whether the EMV is predicted to collide with the user vehicle. The first device may provide, to the second device and based on the determination of whether the EMV is predicted to collide with the user vehicle, a first notification including information regarding safety of the EMV proceeding through the intersection.