Intercity Transportation Mode Classification Using Mobile Phone Trajectories
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Solution Overview
Problem
Current methods for intercity transportation mode surveys face challenges such as inconsistent data formats, high data processing complexity, and resource-intensive manual processes, making it difficult to obtain accurate and comprehensive transportation statistics.
Innovation Solution
A method utilizing mobile phone data to extract and analyze user trajectories, identifying intercity traffic sub-trajectories, and classifying transportation modes based on key location matching and speed criteria, including flight, train, and road travel, to provide a more efficient and accurate data collection process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual roadside inquiry and sample survey methods are used for transportation mode survey, then data collection can be performed with traditional methods, but it consumes a lot of manpower and material resources, has limited survey scope and time, low sampling rate and low data processing efficiency
Solution Approach 1:
The patent replaces manual roadside inquiry and sample survey methods with mobile phone signaling data processing. The mobile operator automatically collects trajectory data through base station connections without requiring manual intervention, thereby eliminating the labor-intensive nature of traditional surveys while improving data processing efficiency through automated algorithms.
Solution Approach 2:
The system utilizes mobile phone users' own signaling data that is already being collected for network operations. The trajectory information is generated naturally as users move and connect to different base stations, requiring no additional effort from users or surveyors, thus achieving self-service data collection with wide coverage and high efficiency.
2Measurement precision
If mobile phone GPS data is used for intercity transportation survey, then positioning accuracy is high, but it is difficult to obtain when users turn off GPS
Solution Approach 1:
The patent uses base station connection records as an intermediary to obtain positioning information without requiring GPS. Instead of directly relying on GPS coordinates that may be unavailable, the system uses the sequence of base stations connected to by the mobile phone to infer trajectory, providing an alternative data source that works regardless of GPS status.
3Loss of information
If road network matching is used for trajectory analysis, then detailed road information can be obtained, but it requires detailed road information which is often difficult to obtain or is obtained incompletely, and requires a large amount of data processing and complex calculation
Solution Approach 1:
The patent extracts only the essential trajectory information needed for transportation mode identification from the mobile phone signaling data, without requiring complete road network matching. It focuses on extracting key movement patterns, distances, and time intervals that are sufficient for judging transportation modes, thereby avoiding the complexity of comprehensive road network processing.
4Ease of manufacture
If traditional transportation mode survey methods are used, then data can be collected through manual processes, but data formats and statistical specifications of different modes of transportation are inconsistent and are difficult to aggregate for analysis
Solution Approach 1:
The patent creates a unified transportation mode identification system that handles multiple transportation modes (railway, highway, flight, waterway) through a single set of algorithms based on mobile phone trajectory analysis. This universal approach processes all modes using consistent criteria such as movement speed, trajectory patterns, and time intervals, eliminating the need for separate data formats and statistical specifications for each mode.
Data Source
AI summary
A method and device for judging intercity transportation modes based on mobile phone data solves the problems of difficult data acquisition and low data processing efficiency in the existing solutions. The method includes: obtaining the trajectory of each user from the mobile phone data; extracting an intercity traffic sub-trajectory in the trajectory of each user; and judging the transportation mode of the intercity traffic sub-trajectory. The solution has the advantages of easy data acquisition, high data processing efficiency and capability of achieving long-term monitoring.