Remote Server Traffic Jam Detection via Acceleration Filtering
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Solution Overview
Problem
Existing systems fail to provide drivers with accurate and timely information about traffic jams, including the duration of congestion and its impact on journey time, and lack precision in detecting traffic conditions based solely on acceleration measurements.
Innovation Solution
A remote server acquires real-time data on traffic jams by processing GPS information frames from vehicles, calculating acceleration, and filtering out non-relevant braking events to create databases for traffic jam management, enabling communication of accurate traffic conditions and exit route information to drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional traffic information systems display road sections with determined colors indicating traffic conditions, then drivers can see the location of traffic jams, but drivers cannot know the duration of congestion or its impact on journey time
Solution Approach 1:
The patent replaces conventional visual map display with a voice synthesis system that communicates traffic jam duration and journey time impact directly to drivers. The server calculates duration based on vehicle position data and communicates it through voice messages, substituting the need for drivers to interpret complex map information with direct auditory information about time impact.
Solution Approach 2:
The patent introduces a remote server as an intermediary between the traffic monitoring system and drivers. The server collects vehicle position data, calculates traffic jam duration and journey time impact, and communicates this information back to drivers through their onboard devices, acting as a mediator that processes raw data into meaningful time-based information.
2Measurement precision
If the system detects traffic conditions based solely on acceleration measurements, then the detection process is simple, but the precision and reliability of traffic condition detection is insufficient
Solution Approach 1:
The patent changes the detection parameter from simple acceleration measurement to a composite analysis including vehicle position, speed variation, and temporal patterns. By analyzing multiple parameters over time rather than relying solely on acceleration magnitude, the system achieves more precise traffic condition detection while maintaining reasonable system complexity through server-based processing.
Solution Approach 2:
The patent implements feedback mechanisms where the server continuously receives vehicle position data, analyzes traffic patterns, and uses this information to identify and communicate traffic jams. The system feedback loop processes ongoing data streams to detect congestion patterns, improving detection precision through continuous monitoring and pattern recognition rather than isolated measurements.
3Reliability
If the remote server processes all braking frames from the database, then complete traffic information is captured, but the system includes false positives from natural slowdowns such as toll zones
Solution Approach 1:
The patent extracts and removes false positive braking events from the database by identifying patterns characteristic of natural slowdowns such as toll zones, intersections, and geographic features. The server filters out these predetermined locations from the braking frame analysis, extracting only genuine traffic jam-related braking events to improve detection reliability while reducing unnecessary processing.
Solution Approach 2:
The patent performs preliminary filtering of braking frames by comparing vehicle positions against a database of predetermined locations known to cause natural slowdowns. This preliminary action occurs before full traffic jam analysis, pre-filtering out false positives from toll zones, intersections, and other locations where braking is expected, thereby improving reliability and reducing subsequent processing load.
Data Source
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AI summary
Method of acquisition and management by a remote server (2) of data relating to road disruptions, in which a device (1) on board a vehicle is able to transmit an information frame to the server (2), the server (2) is able to process said frame and to return information to the onboard device (1) that the latter is able to transmit to the driver of the vehicle, the onboard device (1) periodically receives an information frame from a geolocation system (5), the onboard device (1) determines the acceleration of the vehicle and sends a braking frame to the remote server (2) when: a) the acceleration is negative and greater than a first determined threshold value (5a) b) the variation of the speed of the vehicle is greater than a second threshold value (deltanu), on receipt of the braking frame, the remote server (2) saves said frame in a database.