Traveler home-work location identification and trip chain depicting method based on mobile phone signaling data

Abstract

The invention discloses a traveler home-work location identification and trip chain depicting method based on mobile phone signaling data, and belongs to the field of analysis of transportation planning data. The method comprises the steps of: triggering an information database by communication network records provided by a mobile network operator; after cleaning, integrating and calculating by using a position conversion algorithm, converting the data of the operator into a reference dataset; aiming at each user, converting the dataset into a mobile time-space trajectory, identifying stopover points, high frequency points and long time points in the mobile time-space trajectory, and on the basis, identifying home-work locations, activity target locations and insignificant stopover points; and finally depicting a closed trip chain of the user by being combined with the mobile time-space trajectory. The traveler home-work location identification and trip chain depicting method based on mobile phone signaling data has the advantages of being conductive to reducing trip survey costs of residents, obtaining more precision trip characteristics of crowds with different identities, and thereby allowing the traffic demand forecasting to be more accurate; and 2, being conductive to improving scientificity of planning layout construction, such as transport corridors, public transit networks and traffic facilities, in urban traffic planning.

Description

technical field [0001] The invention belongs to the field of traffic planning data analysis, and in particular relates to a method for identifying a traveler's occupation and residence and describing a travel chain based on mobile phone signaling data. Background technique [0002] The traveler's job, residence and travel chain is to obtain traffic travel data such as OD ("O" comes from the English ORIGIN, indicating the starting point of the trip, "D" comes from the English DESTINATION, pointing to the destination of the trip), residents' travel characteristics, travel An important data basis for travel behavior characteristics of consumers. According to the long-term recommendations and accreditations of the Institute of Transportation Engineers (ITE), the Urban Traffic Planning Academic Committee of the Urban Planning Society of China, and the China Highway Society, the method of obtaining traffic travel data is to fill out surveys, mainly including household surveys, tel...

AI Technical Summary

Problems solved by technology

[0022] 1. On the data source, sparsely sampled data is used as the identification basis, and the real-time data of the mobile phone is not used to reflect the complete travel information of the traveler and carry out mining;

[0023] 2. In terms of the discrimination method, only the frequency and probability of occurrence are considered, and the length of stay of the user is not considered, which fails to effectively reflect the time characteristics of the "stay" of the permanent point

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