Recognition of traveler's occupation and residence and characterization method of travel chain based on mobile phone signaling data

Abstract

The invention discloses a method for identification of traveler's occupation and residence and travel chain description based on mobile phone signaling data, which belongs to the field of traffic planning data analysis. The communication network record provided by the mobile network operator triggers the information database, and the operator data is cleaned, After the integration and position conversion algorithm is calculated, it is converted into the data set referenced by the present invention, and for each user, the data set is converted into a mobile space-time trajectory, in which the stay point, high-frequency point, and long-term point are identified, and based on this On the above, identify the place of work and residence, activity destination, and meaningless stay points, and finally combine the moving space-time trajectory to describe a closed travel chain of the user. The beneficial effects of the present invention are as follows: 1. It is beneficial to reduce the travel survey cost of residents, obtain travel characteristics of people with different identities with higher accuracy, and make traffic demand prediction more accurate; 2. It is beneficial to improve transportation channels and bus lines in urban traffic planning The scientific nature of the planning and layout construction of network and transportation facilities.

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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