Traffic Information Determination via Route Boundary Analysis
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Solution Overview
Problem
Current navigation systems rely on driver actions to alleviate traffic congestion, which is inefficient, as they only provide real-time traffic information without effective mechanisms for traffic control.
Innovation Solution
A system that determines traffic information by analyzing driving routes in and out of subregions, identifying congested areas, and transmitting this data to third parties for traffic control adjustments, such as adjusting traffic lights to alleviate congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If navigation apps provide real-time traffic information to drivers, then drivers can be alerted of road congestions and choose detour routes, but merely depending on drivers' actions is not efficient enough to alleviate congestion
Solution Approach 1:
The system implements feedback by continuously collecting traffic flow data from multiple sources (navigation apps, traffic cameras, sensors), analyzing congestion patterns, and using this information to automatically adjust traffic signal timing and provide targeted guidance to drivers, creating a closed-loop control system that actively responds to traffic conditions
Solution Approach 2:
The patent introduces a traffic control system as an intermediary between traffic conditions and driver actions. This intermediary actively processes traffic data, determines optimal routing strategies, and implements control measures (signal adjustments, dynamic signage) to guide traffic flow, rather than relying solely on individual driver decisions
2Measurement precision
If the system analyzes driving routes and traffic flow data to determine congestion, then accurate traffic information can be obtained, but this requires processing large amounts of data from multiple sources
Solution Approach 1:
The system segments the traffic analysis task by dividing the region into multiple subregions and analyzing traffic flow characteristics for each subregion separately. This allows parallel processing of data from different areas, reduces computational complexity, and enables localized optimization strategies for each segment
Solution Approach 2:
The patent employs a multi-functional data processing platform that can handle various data types (GPS trajectories, camera images, sensor readings) and perform multiple functions (congestion detection, route optimization, signal control) using integrated algorithms, reducing the need for separate specialized systems
Data Source
AI summary
The present disclosure relates to systems and methods for determining traffic information of a region. The method may include determining a first region and a second region. The method may also include obtaining a set of links associated with the first region and the second region. The method may also include obtaining a plurality of driving routes of a plurality of vehicles in the first region and the second region in a predetermined time period. The method may also include selecting one or more driving routes that traverse a first boundary of the first region and a second boundary of the second region based on the set of links associated with the first region and the second region. The method may also include determining traffic information of the first region based on information related to the one or more selected driving routes.