Traffic Guidance System Using Brake Pattern Analysis
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Solution Overview
Problem
Conventional navigation systems take time to reflect sudden changes in traffic situations, such as congestion or accidents, leading to difficulties in avoiding these areas effectively.
Innovation Solution
A traffic guidance system that analyzes brake patterns of vehicles to quickly recognize traffic events and adjusts routes in real-time by using vehicle terminals, collection servers, and control servers to generate and compare brake pattern information, allowing for immediate route recalculation when a traffic event is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional navigation systems use traditional traffic information collection methods, then system complexity is kept simple, but the response time to sudden traffic events is delayed
Solution Approach 1:
The system performs preliminary action by continuously collecting and analyzing brake information from vehicles in advance. The collection server accumulates brake data and the control server pre-processes this information to generate brake pattern information, so that when a traffic event occurs, the system can immediately detect and respond to it without delay, thus improving response speed while maintaining manageable system complexity through staged processing
Solution Approach 2:
The system segments the traffic monitoring function into distinct modules: vehicle terminals for data collection, collection server for accumulating brake information, and control server for analyzing patterns and generating traffic event detections. This segmentation allows each component to operate independently and efficiently, improving overall response speed while keeping individual component complexity low
2Measurement precision
If the system collects and analyzes brake pattern information from multiple vehicles, then recognition accuracy of traffic events improves, but information processing time increases
Solution Approach 1:
The system performs preliminary action by continuously collecting brake information from multiple vehicles and pre-processing this data to generate brake pattern information. This advance preparation allows the system to have traffic event recognition results ready when needed, improving both accuracy through multiple data sources and reducing actual processing time by having analysis results pre-computed
Solution Approach 2:
The system creates simplified copies of traffic event patterns by generating brake pattern information that represents typical braking behaviors for different traffic situations. These pattern copies enable quick comparison and recognition without processing raw brake data from every vehicle in real-time, thus improving recognition accuracy while minimizing processing time
3Reliability
If the navigation system uses real-time brake pattern analysis, then route guidance accuracy improves, but computational load increases
Solution Approach 1:
The system extracts only the essential brake pattern information needed for traffic event detection from the complete brake data set. By taking out only the relevant features (brake timing, duration, intensity patterns) rather than processing all raw sensor data, the system achieves accurate route guidance while significantly reducing computational load on the navigation system
Solution Approach 2:
The control server acts as an intermediary that performs the computationally intensive brake pattern analysis and traffic event detection. It receives brake information from multiple vehicles, processes this data to generate brake pattern information, and then provides this processed information to navigation systems. This intermediary approach shifts computational load from individual navigation systems to a centralized server, improving route guidance accuracy while reducing local computational requirements
Data Source
AI summary
A traffic guidance system includes: a vehicle terminal located in each vehicle and configured to obtain brake information; a collection server configured to collect the brake information; and a control server configured to search for a driving route to a destination point based on a request of the vehicle terminal and provide the found driving route. The control server is configured to: analyze the brake information collected by the collection server; generate brake pattern information for each traffic situation; and search for the driving route using the generated brake pattern information for each traffic situation.