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A comprehensive recognition method for urban travel modes based on mobile phone signaling data

A travel mode, mobile phone signaling technology, applied in location-based services, geographic information databases, character and pattern recognition, etc., can solve the problems of limited sample number, difficult implementation, unreasonable mode identification, etc., to improve accuracy sexual effect

Active Publication Date: 2022-06-17
NANJING RUIQI INTELLIGENT TRANSPORTATION TECH IND RES INST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method requires the survey object to cooperate with the collection of acceleration detection equipment data. This process is affected by multiple factors such as manpower and material resources. It is unreasonable to apply the algorithm model obtained from the collected data training to all future travel data.

Method used

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  • A comprehensive recognition method for urban travel modes based on mobile phone signaling data
  • A comprehensive recognition method for urban travel modes based on mobile phone signaling data
  • A comprehensive recognition method for urban travel modes based on mobile phone signaling data

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Embodiment Construction

[0123] The present invention is further described below in conjunction with an embodiment, but the scope of protection of the present invention is not limited thereto:

[0124] Mobile phone signaling data refers to a series of control instructions generated by the mobile communication network actively or passively, regularly or irregularly to maintain contact with the mobile terminal of the mobile phone user, including the mobile phone identification code, timestamp, event type, base station number, base station latitude and longitude, number attribution and other fields, including the spatio-temporal information of each user's running trajectory throughout the day, as shown in the following table:

[0125] dt msid start_time start_ci start_lng start_lat end_time end_ci end_lng end_lat 20190522 1 20190522000000 85132041 120.9892 31.4025 20190522000001 85132057 120.9892 31.4025 20190522 1 20190522000001 85132057 120.9892 31.4025 201905220000...

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Abstract

The invention discloses a method for comprehensive identification of urban travel modes based on mobile phone signaling data. Aiming at the mobile phone signaling data generated throughout the day in a target city, each person's parking point and all-day travel OD are identified. First, through a dedicated subway base station Accurately identify all the travel modes of underground rail transit, and then compare it with the real GPS navigation data of AutoNavi on the basis of extracting the characteristic parameters of the mobile phone data, and use the unsupervised machine learning algorithm to identify the modes of transportation for residents to travel. In order to improve the accuracy of identification, the present invention adopts three correction methods to correct the recognition results respectively (road network correction, user personal attribute correction, road network and user personal attribute combined correction), and proposes an optimization algorithm, combining the three correction methods Compare and obtain the best correction result.

Description

Technical field [0001] The present invention relates to the field of transportation planning, specifically the field of transportation demand forecasting. Background [0002] Traffic demand forecasting is the basis of urban transportation planning, and it is of great significance to accurately predict urban transportation demand for rational management and control of urban transportation system. Existing transportation demand forecasting methods, such as traffic allocation models, are highly dependent on travel demand estimation under different modes of travel. However, given its highly complex nature, it can be challenging to accurately predict the needs of different modalities. This is due to the fact that the time / space fluctuations of the operation of the transport system and the flow of traffic are undetectable, so effectively identifying the mode of transport is the key to current technology. [0003] In the past, there were many defects in the method of obtaining traffic i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06F16/2458G06F16/28G06F16/29G06K9/62H04W4/024H04W4/029H04W4/20H04W4/42
CPCG08G1/0125G08G1/0137G06F16/2462G06F16/285G06F16/29H04W4/024H04W4/029H04W4/20H04W4/42G06F18/23213
Inventor 万紫吟陆振波刘娟夏井新余启航李瑞张改张念启张静芬
Owner NANJING RUIQI INTELLIGENT TRANSPORTATION TECH IND RES INST CO LTD
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