Highway Traffic Jam Judgment Using Vehicle Trajectory Data
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Solution Overview
Problem
Existing methods for judging highway traffic jams, such as those based on mobile phone access numbers or user-generated GPS data, fail to comprehensively reflect vehicle speed and are not suitable for official traffic department data collection, limiting their effectiveness in accurately determining traffic jam conditions.
Innovation Solution
A method that involves obtaining trajectory data of sample vehicles, constructing a two-dimensional matrix representing discretized trajectories, calculating average speeds and vehicle numbers at spatio-temporal points, and determining traffic jam conditions based on these calculations, using a closed polygon to define the target road segment and dividing it into equal segments and time periods for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If mobile phone access number of base station is used for judgment, then the traffic flow information can be obtained, but the vehicle speed information cannot be reflected
Solution Approach 1:
The patent uses mobile phone positioning data as an intermediary to bridge the gap between base station access numbers and vehicle speed information. By tracking the movement of mobile phones carried by drivers through multiple base stations, the system can infer both traffic flow and vehicle speed, thus resolving the information loss problem while maintaining the ease of using existing base station infrastructure.
2Loss of information
If user-generated GPS data is used, then vehicle speed information can be obtained, but the data cannot be collected by traffic department officially
Solution Approach 1:
The patent creates a copied version of GPS tracking functionality using mobile phone positioning data from existing commercial networks. Instead of requiring official traffic department GPS devices, the system copies the essential tracking capability by analyzing mobile phone location information from multiple base stations, making the data collection both official and practical.
3Measurement precision
If fine-grained GPS data from specialized applications is used, then accurate traffic condition can be judged, but the data cannot be obtained in reality
Solution Approach 1:
The patent makes the system self-service by utilizing mobile phone positioning data that is already being collected and provided by commercial mobile network operators for their own service optimization. The traffic department doesn't need to actively collect or manufacture data; instead, they can directly use the positioning information that mobile operators already generate and maintain in their networks.
4Ease of operation
If mobile phone access number is used for judgment, then the judgment process is simple, but the traffic jam information cannot be completely reflected
Solution Approach 1:
The patent adds a temporal dimension to the base station access data by tracking how mobile phones move between base stations over time. This transforms static access number counts into dynamic trajectory information, enabling the system to infer vehicle speed and traffic jam conditions while maintaining operational simplicity through automated trajectory analysis algorithms.
Data Source
AI summary
The present invention provides a method for judging a highway abnormal event, which can determine the traffic jam phenomenon in the target road segment based on the trajectory data of each sample vehicle of the target road segment. The solution of the present invention has the following beneficial effects of 1. comprehensively considering the vehicle speed information of the sample vehicles to judge the traffic jam event; 2. determining the overall traffic jam event of the target road segment; 3. more accurately judging the traffic jam event of the target road segment.