Road Traffic Analysis Using Mobile Navigation Data
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Solution Overview
Problem
Conventional data collection devices in urban traffic networks have low density due to high investment and maintenance costs, resulting in high data loss rates and limited coverage, leading to inaccurate traffic signal adjustments and increased congestion at road intersections.
Innovation Solution
A road traffic analysis method and apparatus that processes and optimizes traffic information to determine a traffic unbalance index, identifying unbalanced intersections and adjusting traffic signal phases based on calculated adjustment lengths to improve traffic flow and reduce congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional data collection devices (fixed video cameras, coils, microwaves) are distributed in the traffic network, then traffic information can be collected, but the investment cost and maintenance cost are high, resulting in low device density and high data loss rate
Solution Approach 1:
The patent uses navigation data from mobile devices (copies of traffic information) instead of traditional physical data collection devices. Mobile devices continuously record location and speed data, creating virtual copies of traffic state that can be aggregated to reconstruct traffic flow patterns, eliminating the need for expensive fixed infrastructure while maintaining comprehensive coverage
Solution Approach 2:
The patent introduces mobile navigation devices as intermediaries between vehicles and the traffic management system. These mobile devices collect traffic information independently and transmit it to the server, which then processes and aggregates the data. This intermediary approach enables distributed data collection without requiring direct installation of traditional collection devices at every monitoring point
2Measurement precision
If traditional data collection devices are used, then traffic information can be collected at specific locations, but collection blind spots exist, causing uncertainty of sample data
Solution Approach 1:
The patent transitions from static fixed monitoring points to dynamic mobile data collection. Mobile navigation devices continuously move through the traffic network, collecting data at multiple locations and times. This dynamic approach eliminates fixed blind spots and provides comprehensive spatial coverage while maintaining data accuracy through continuous aggregation of measurements from multiple moving sensors
Solution Approach 2:
The patent adds the temporal dimension to spatial coverage by collecting traffic data continuously over time from mobile devices. Instead of relying on fixed spatial locations, the system aggregates data from multiple mobile sources across different times, creating a three-dimensional data structure (space-time) that eliminates blind spots and improves measurement precision through temporal averaging
3Productivity
If traffic signal control is not optimized, then traffic flow may be unbalanced, causing vehicles to encounter red lights frequently, resulting in time delay and fuel consumption
Solution Approach 1:
The patent implements a feedback mechanism where navigation data from mobile devices is continuously collected and transmitted to a server. The server analyzes the feedback data (vehicle positions, speeds, directions) and uses this information to optimize traffic signal control. This closed-loop feedback enables real-time adjustment of signal timing based on actual traffic conditions, improving efficiency and reducing delays
Solution Approach 2:
The patent performs preliminary data collection and analysis before implementing traffic signal optimization. By aggregating and analyzing navigation data from multiple mobile devices in advance, the system builds a comprehensive understanding of current traffic patterns and predicts future traffic conditions. This preliminary action enables proactive signal adjustment rather than reactive response, improving overall traffic efficiency
Data Source
AI summary
Embodiments of the present disclosure can provide a road traffic analysis method and an apparatus. The method can comprise obtaining a traffic parameter of a road intersection by analyzing road traffic information of the road intersection, determining a reference adjustment length for each phase of a traffic signal cycle corresponding to each lane of the road intersection based on the road traffic information and the traffic parameter. The traffic signal cycle has one or more phases. The method can also comprise determining a first adjustment length when a difference between the reference adjustment length and the first adjustment length satisfies a condition associated with the lanes of the road intersection and the corresponding traffic parameter, and adjusting the phases of the traffic light cycle at the road intersection based on the first adjustment length for each phase.