Vehicle Collaborative Control System for Real-Time Traffic Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Drivers often fail to comply with traffic speed limits and signs due to the static nature of traffic signs, which requires divided attention and may not be clearly visible or remembered while driving.
Innovation Solution
A collaborative control system comprising a cloud server, edge computing device, and collaboration device mounted in the vehicle, which provides real-time traffic data to the driver through a display, allowing them to focus on the road while receiving instant updates on speed limits, cameras, and other traffic conditions, and can automatically adjust vehicle speed to comply with limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traffic signs are used to provide speed limit information, then drivers can receive traffic rules, but drivers cannot clearly see and comprehend the traffic sign when passing through quickly
Solution Approach 1:
The system proactively retrieves and displays speed limit information from the cloud server before the vehicle reaches the location where the traffic sign is positioned, based on GPS coordinates and route planning. This allows drivers to receive and process the information in advance rather than attempting to read static signs at high speed.
Solution Approach 2:
The patent introduces a collaboration device and edge computing device as intermediaries between the cloud server and the driver. These devices receive traffic data from the cloud server, process it locally, and present it in an easily comprehensible format on the vehicle's display system, bridging the gap between static traffic signs and driver understanding.
2Reliability
If drivers focus attention on traffic signs to comprehend rules, then drivers can obey traffic rules, but drivers cannot focus attention on road conditions in front of and around the vehicle
Solution Approach 1:
Speed limit information is retrieved and displayed to the driver in advance before the vehicle approaches the relevant road section. This timing allows drivers to absorb the information without needing to divert attention from the road ahead, as the information is already processed and displayed when the driver's attention is still on driving.
Solution Approach 2:
Instead of requiring drivers to read physical traffic signs, the system creates a digital copy of the speed limit information and displays it on the vehicle's collaboration device. This digital representation is clearer, can be displayed at optimal times, and does not require the driver to physically locate and read roadside signs.
3Loss of information
If static traffic signs are used to warn drivers, then drivers receive warning information, but the warning effect is limited and drivers may violate traffic rules
Solution Approach 1:
The system transforms static traffic sign information into a dynamic display that can be activated and deactivated based on the vehicle's real-time location, speed, and route. The collaboration device dynamically retrieves updates from the cloud server and presents information only when relevant to the current driving context, making the warning system adaptive rather than fixed.
Solution Approach 2:
The system implements a feedback loop where the edge computing device continuously monitors vehicle position via GPS, compares it with stored route and traffic data, and triggers appropriate warnings or information display. This closed-loop system ensures drivers receive timely, location-specific information that directly relates to their current driving context.
Data Source
AI summary
A collaborative control system for a vehicle has a cloud server, a collaboration device, and an edge computing device. The cloud server stores road coordinates and traffic data corresponding to the road coordinates. The collaboration device is for being mounted in the vehicle. The edge computing device communicates with the cloud server and the collaboration device and is for being mounted in the vehicle. The edge computing device downloads one of the traffic data from the cloud server as an instant traffic datum according to a vehicle positioning coordinate corresponding to one of the road coordinates, and transmits the instant traffic datum to the collaboration device. The collaboration device displays the instant traffic datum.