Traffic Estimation via Location Update and Call Event Integration
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Solution Overview
Problem
Existing traffic information collection technologies using cellular-based vehicle probe (CVP) methods face challenges in providing accurate and stable data due to insufficient valid samples and high deployment and operation costs, leading to quantity instability and limited coverage.
Innovation Solution
A method and system that integrate location update events and call events to estimate traffic information by associating and analyzing sample data from mobile users, using a sample capturing and analyzing device to determine location and time information, and a computation device to estimate traffic conditions on designated roads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If existing CVP technologies use only handover events or location update events to estimate traffic information, then the system complexity is low, but the quantity and stability of traffic information samples are insufficient
Solution Approach 1:
The patent combines handover events and location update events into a unified traffic information estimation system. By merging these two types of events that were previously used separately, the system increases the number of valid samples available for traffic analysis, thereby improving data quantity and stability while maintaining manageable system complexity through integrated processing
2Measurement precision
If vehicle detectors are deployed to collect traffic information, then the accuracy of traffic data is improved, but the deployment and operation costs increase significantly
Solution Approach 1:
The patent replaces physical vehicle detectors with a signaling-based system that processes handover and location update events from mobile communication networks. This substitution eliminates the need for expensive hardware deployment while maintaining the capability to collect and analyze traffic information, thereby reducing deployment and operation costs while preserving data accuracy
3Productivity
If only two handovers or two location area updates are used for road testing, then the device complexity is low, but the time interval between samples is too long and coverage is limited
Solution Approach 1:
The patent implements continuous collection and processing of both handover and location update events, creating a continuous stream of traffic information samples. This continuous action ensures frequent sampling with reduced time intervals between samples, improving traffic information coverage and responsiveness while managing data processing complexity through systematic event integration
Data Source
AI summary
A method and system for estimating traffic information by using integration of location update events and call events uses a sample capturing and analyzing device to associate location area update (LAU) and call sample data of a plurality of mobile users. The sample data at least includes at least one LAU event of at least one mobile user of the plurality of mobile users, and call arrival (CA) or call completion (CC) events of at least one call. Based on the sample data, a computation device is used to determine the location information and time information of the at least one LAU event and the CA or CC event of the at least one call, and estimate traffic information of one or more designated roads according to the location information and time information.