Traffic Signal Cycle Estimation via Travel Time Frequency Distribution
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Solution Overview
Problem
Existing traffic signal information estimation devices require special data from probe vehicles, making it difficult to efficiently collect necessary data and estimate traffic signal information.
Innovation Solution
A traffic signal cycle estimation device that calculates frequency distributions of travel times to determine first and second travel time groups, where vehicles do not stop and stop at traffic signals, respectively, allowing for the estimation of cycle information based on the difference between these groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If special data from probe vehicles is collected to estimate traffic signal information, then estimation accuracy is improved, but data collection difficulty increases
Solution Approach 1:
The patent extracts only the necessary travel time data from general vehicle traffic flow, rather than requiring special probe vehicles. By analyzing travel times of normally traveling vehicles through frequency distribution, the system obtains sufficient information to estimate traffic signal cycles without special data collection equipment
Solution Approach 2:
The patent makes the traffic signal estimation system work with universally available travel time data from any vehicle, rather than requiring specialized probe vehicles. The frequency distribution analysis method can process travel time data from general traffic, making the system universally applicable without special equipment
2Productivity
If travel time data from general vehicles is used, then data collection efficiency is improved, but estimation precision may deteriorate
Solution Approach 1:
The patent segments travel time data into two distinct groups using frequency distribution analysis: vehicles that stopped at the traffic signal and vehicles that did not stop. This segmentation allows precise extraction of signal cycle information from general traffic data by identifying the time difference between the two groups
Solution Approach 2:
The patent uses excessive travel time data from general vehicles rather than selective probe vehicle data. By collecting data from all passing vehicles and applying frequency distribution analysis, the system achieves both high efficiency (using all available data) and high precision (through statistical analysis of the complete dataset)
Data Source
AI summary
A traffic signal cycle estimation device 2 is provided, which includes a travel time acquisition unit 4 acquiring a traffic signal section travel time, a frequency distribution calculation unit 5 calculating a frequency distribution of the traffic signal section travel times on the basis of the traffic signal section travel times, a travel time group determination unit 6 determining a first travel time group in which the vehicle does not stop at the traffic signal and a second travel time group in which the vehicle stops at the traffic signal on the basis of the frequency distribution of the traffic signal section travel times, and a traffic signal cycle estimation unit 7 estimating cycle information of the traffic signal on the basis of a difference between the first travel time group and the second travel time group.