Traffic Slowdown Detection via Segmented Speed Analysis
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Solution Overview
Problem
Existing traffic information systems fail to efficiently and immediately detect dangerous slowdown events at specific locations on roadways, which can lead to accidents and traffic congestion.
Innovation Solution
A system that collects data from multiple sources to detect slowdown events using a traffic processing engine, which analyzes location and speed data to identify dangerous slowdowns and generates alerts to drivers and traffic management systems, enabling timely and targeted warnings and responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing traffic information systems broadcast general traffic levels, then broad traffic information is provided, but immediate detection of dangerous slowdown events at specific locations is not achieved
Solution Approach 1:
The patent segments the roadway into specific geographic locations and analyzes slowdown events at each segment independently. The system divides traffic data into location-specific probe data, allowing precise detection of slowdowns at particular road segments rather than providing only broad aggregate traffic information. This segmentation enables immediate detection of dangerous slowdown events at specific locations while maintaining efficient processing.
2Reliability
If probe data from multiple vehicles is collected and analyzed, then detection accuracy of slowdown events is improved, but system complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary that receives probe data from multiple vehicles, processes the data to detect slowdown events, and then communicates findings to vehicles. This intermediary architecture allows the system to aggregate data from multiple sources for improved reliability while centralizing the complex analysis functions on the server, keeping individual vehicle systems relatively simple.
Solution Approach 2:
The system uses multi-functional probe data that serves multiple purposes: location tracking, speed monitoring, and slowdown event detection. By collecting comprehensive probe data that can be analyzed for various traffic conditions, the system improves detection reliability without requiring separate specialized systems for each function.
3Speed
If real-time analysis of vehicle speed and location data is performed, then immediate slowdown detection is achieved, but energy consumption increases
Solution Approach 1:
The system performs periodic analysis of probe data rather than continuous real-time processing. Vehicles send probe data at intervals, and the server periodically analyzes accumulated data to detect slowdown events. This periodic approach enables timely detection of dangerous slowdowns while reducing the energy consumption associated with constant data transmission and processing.
Data Source
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AI summary
A method for providing alerts for a traffic slowdown includes receiving location data for at least a first vehicle of a plurality of vehicles, map matching the location data for at least the first vehicle to a road network, calculating an approaching speed for at least the first vehicle at a first time, calculating a final speed for at least the first vehicle at a second time, and generating a traffic slowdown message in response to the approaching speed and the final speed. The traffic slowdown message includes at least one characteristic of the traffic slowdown.