Traffic Light Duration Data Acquisition via Trajectory Analysis
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Solution Overview
Problem
Current methods for obtaining signal light duration data are limited by the completeness and timeliness of data from traffic management departments and are prone to errors due to external factors when estimating based on mobile phone or vehicle track data.
Innovation Solution
A method and apparatus that utilize running track data from positioning terminals to accurately obtain signal light duration data by analyzing intersection phases, track sequences, and moving-nonmoving state alternations, generating reliable signal light duration data with stable space-time regularity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If signal light duration data is obtained by establishing close cooperation with traffic management department, then data completeness is improved, but data timeliness deteriorates
Solution Approach 1:
The system enables vehicles and mobile phones to automatically collect and upload signal light duration data during their normal operation. Each positioning terminal independently contributes data by detecting its own movement state (moving/non-moving) and calculating duration information, eliminating the need for centralized data collection while maintaining both completeness and timeliness
Solution Approach 2:
The system implements a feedback mechanism where collected data is continuously uploaded to servers, processed to generate signal light duration information, and then used to improve travel service predictions. This closed-loop feedback ensures data is both complete (from multiple sources) and timely (processed and utilized immediately)
2Ease of operation
If signal light duration data is obtained by estimating based on positioned running track of mobile phone or vehicle, then data acquisition ease is improved, but measurement precision deteriorates
Solution Approach 1:
The system dynamically determines movement state by continuously monitoring positioning data and calculating speed thresholds. Instead of static time estimation, it adaptively identifies moving versus non-moving states based on real-time speed variations, significantly improving measurement precision while maintaining ease of data acquisition through existing positioning infrastructure
Solution Approach 2:
The system changes the parameter used for estimation from simple time duration to a composite parameter including speed threshold comparison and movement state identification. By analyzing speed changes and determining when vehicles are truly stopped versus moving slowly, the system achieves higher precision in signal light duration measurement
Data Source
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AI summary
Provided in the present application is a method for acquiring traffic light duration data, comprising: acquiring, by means of traveling trajectory data of a positioning terminal, intersection phases and trajectory sequence sets corresponding to the intersection phases; acquiring, with respect to each intersection phase, a switch sequence between a moving and static state from the trajectory sequence set; acquiring, from the switch sequence between a moving and static state, a traffic light duration sample value of said intersection phase; and generating, according to the traffic light duration sample value, traffic light duration data. Furthermore, the present invention also provides a device for acquiring traffic light duration data to be employed in combination with the method, and trip service implementation method and device. The above method and device for acquiring traffic light duration data enables comprehensive and accurate acquisition of traffic light duration data, and the trip service implementation method and device enable, on the basis of the comprehensive and accurate acquisition of traffic light duration data, completeness and accuracy of time calculation for a trip service.