Traffic Signal Status Detection for Distracted Driving Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current traffic management systems lack effective means to prevent accidents and unsafe conditions on roads, as they do not adequately utilize available traffic infrastructure, vehicle capabilities, and mobile device capabilities to monitor or influence vehicle movements and navigation routes.
Innovation Solution
A system comprising a traffic device with a computer and transceiver that communicates with a vehicle and infrastructure computing device to monitor traffic signal status, vehicle movement, and environmental factors, enabling real-time adjustments to traffic signals, mobile device usage, and navigation recommendations to enhance safety and traffic flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traffic management systems utilize available traffic infrastructure, vehicle capabilities, and mobile device capabilities to monitor or influence vehicle movements, then road safety is improved, but system complexity increases
Solution Approach 1:
The system divides the traffic management functionality into separate components: traffic devices (signals, cameras, sensors), vehicle computing devices (on-board systems), and mobile devices (driver smartphones). Each component performs specific functions independently, reducing overall system complexity while maintaining comprehensive safety monitoring through coordinated operation of these segmented elements.
Solution Approach 2:
The system creates a multi-functional platform where traffic devices serve multiple purposes: traffic signal control, vehicle movement monitoring, distraction detection, and navigation recommendation. The vehicle computing device and mobile device similarly perform multiple functions including safety monitoring, communication, and providing navigation assistance, thereby improving road safety without requiring separate dedicated systems for each function.
2Reliability
If the system monitors vehicle movement and traffic signal status in real-time to detect distracted driving, then driver distraction is reduced, but loss of time in data processing increases
Solution Approach 1:
The system continuously collects and pre-processes data from traffic devices, vehicle sensors, and mobile devices in the background before distraction detection is needed. Traffic signal status, vehicle position, and movement data are monitored continuously and stored, so when analysis is required, the data is already prepared and available, minimizing processing delays while maintaining accurate distracted driving detection.
Solution Approach 2:
The system implements real-time feedback loops where data from traffic devices and vehicle sensors is continuously analyzed, and results are immediately fed back to provide navigation recommendations or alerts to drivers. This continuous feedback mechanism ensures minimal processing delay between data collection and actionable insights, maintaining both detection accuracy and timely response.
3Productivity
If the system provides navigation recommendations and disables mobile device interactions during red lights, then traffic flow is improved, but ease of operation decreases
Solution Approach 1:
The system dynamically adjusts mobile device functionality based on real-time traffic conditions and driver behavior. During red lights or when distraction is detected, certain functions are temporarily disabled or restricted. During green lights or safe conditions, full functionality is restored. This dynamic adaptation improves traffic flow by reducing distractions while maintaining driver convenience through context-aware operation that only limits functionality when necessary.
Solution Approach 2:
The system changes operational parameters of mobile devices based on traffic signal status and detected driver behavior. Parameters such as app accessibility, notification settings, and interaction permissions are adjusted according to traffic conditions. This parameter-based control enables the system to improve traffic flow by reducing distractions during critical moments while preserving ease of operation during safe periods, creating a flexible balance between productivity and user convenience.
Data Source
AI summary
Systems and methods are disclosed for determining the status of a traffic device and vehicle movement. A traffic device may have a traffic device computer, one or more traffic signals, and/or a transceiver. The traffic device may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of a status of the one or more traffic signals. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the traffic device, the information indicative of the status of the one or more traffic signals. The computing device may determine that the information indicative of the status of the one or more traffic signals indicates that the one or more traffic signals of the traffic device switched from a red light to a green light and a time that the one or more traffic signals of the traffic device switched from the red light to the green light. In response to determining that the one or more traffic signals of the traffic device switched from the red light to the green light, the computing device may determine an amount of time between the time that the one or more traffic signals of the traffic device switched from the red light to the green light and a time that a vehicle at a location of the traffic device moved. In response to determining that the amount of time exceeds a threshold amount of time, the computing device may determine that a driver of the vehicle is distracted.