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Method for classifying long-distance travel transportation types based on data of mobile phones

A mode of transportation, long-distance technology, applied in the field of intelligent transportation, can solve the problems that cannot meet the requirements of analysis, and the sample size of GPS data is small, and achieve reliable decision-making basis and high-precision results

Active Publication Date: 2017-02-22
SOUTHEAST UNIV
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Problems solved by technology

However, the sample size of GPS data is extremely small, which cannot meet the requirements of analysis.

Method used

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  • Method for classifying long-distance travel transportation types based on data of mobile phones
  • Method for classifying long-distance travel transportation types based on data of mobile phones
  • Method for classifying long-distance travel transportation types based on data of mobile phones

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Embodiment Construction

[0027] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0028] A long-distance travel traffic mode division method based on mobile phone data, such as figure 1 As shown, the principle is to use the mobile phone signaling data and the location information of the base station to determine the transportation mode chosen by long-distance travelers. First, through experiments, determine the base station access sequences of mobile phones in different modes of transportation, and calculate the average travel time; then de-dry the signaling data of mobile phones, perform data reconstruction, and calculate the matching between users and base station access sequences of different modes of transportation Finally, the user's travel mode is judged by the matching degree and travel time. This method can accurately identify the travel mode of travelers between travel groups, and provides a reliable decision-making...

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Abstract

The invention discloses a method for classifying long-distance travel transportation types based on data of mobile phones. The method comprises the following steps of 1, determining a common class I travel transportation type between a city A and a city B, and obtaining travel information of a volunteer and signaling data of the mobile phone; 2, obtaining a complete track point set T(i) and travel time t(i) of each type of travel path in the class I travel transportation type; 3, extracting a traveler set C between the two cities; 4, obtaining a track point set E(j) of each traveler in the set C; (5) obtaining a travel user set D between the city A and the city B; 6, judging the relationship between the track point set E(j) of each traveler in the set D and the set T(i); under the conditions of formula shown in the attached figure, and unique i value, judging that the j-th traveler adopts the class i transportation type; 7, under the conditions of formula shown in the attached figure, and non-unique i value, calculating the travel time s(j) of the j-th traveler, selecting the travel time, which is most approximate to the travel time s(j), of the corresponding transportation type from the possible value of i value, and using as the transportation type of the j-th traveler. The method has the advantage that the transportation type of the traveler crossing the cities can be accurately identified.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and in particular relates to a method for dividing traffic modes for long-distance travel. Background technique [0002] The travel ratio of different transportation modes is of great significance to traffic planning and traffic management departments. The traditional transportation mode division is mainly realized by questionnaire survey. However, this method consumes materials and energy, and the results are not satisfactory. Especially for long-distance travel, due to the small number of samples obtained, the accuracy is difficult to guarantee. [0003] With the continuous development of communication technology, the number of mobile phone users continues to increase, and almost full coverage can be achieved. Operators continue to improve the communication service level by adding base stations. planning basis. [0004] At present, with the rapid popularization and application of mob...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/012G08G1/0133
Inventor 李林超冉斌戴冠臣张健徐云霞洪阳
Owner SOUTHEAST UNIV
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