A car od extraction method based on signaling and floating car data

Abstract

The invention discloses a car OD extraction method based on a signaling and floating car data, and belongs to the technical field of transportation. In view of the problem that there is no dynamic priori OD for the existing dynamic OD estimation, the invention provides a dynamic priori OD acquisition method based on mobile phone signaling data and traffic investigation data. In view of the problem that the traffic flow observed in the dynamic OD process is of limited coverage and insufficient constraints, the invention provides travel distribution characteristic constraints based on floating car data, and provides travel distribution characteristic calculation methods under different sample sizes. In order to bring both link flow constraints and travel distribution characteristic constraints into the OD estimation process, the invention builds a maximum entropy OD estimation model based on double constraints, and provides a solution. The problem that it is difficult to acquire dynamic priori OD in the existing dynamic OD estimation can be solved. Adequate constraints can be provided under the condition of existing data in order to realize car dynamic OD estimation.

Description

technical field [0001] The invention belongs to the technical field of transportation, and can obtain the dynamic travel OD matrix of urban cars at different time periods based on mobile phone signaling data and floating car data. Background technique [0002] Obtaining car travel OD is a necessary condition for rationally formulating traffic management strategies and traffic planning. At present, it is mainly realized through large-scale manual surveys, which is time-consuming, laborious and low-precision. The fifth resident travel survey carried out in Beijing in 2014 cost about 30 million, it took nearly a year, the sampling rate was less than 1%, and the information that can be investigated is very limited. OD estimation technology is an important way to achieve car OD acquisition. Reliable prior OD and sufficient constraints are necessary conditions to obtain accurate OD estimation results. However, due to the difficulty in obtaining reliable dynamic prior OD and the l...

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Problems solved by technology

[0004] One is to solve the problem that current dynamic OD estimation lacks dynamic prior OD. The present invention provides a dynamic prior OD acquisition method based on mobile phone signaling data and traffic survey data; Insufficient constraints, the present invention provides travel distribution feature constraints based on floating car data, and provides a calculation method for travel distribution characteristics under different sample size conditions; the third is to incorporate road traffic constraints and travel distribution feature constraints into the In the OD estimation process, the present invention establishes a maximum entropy OD estimation model with double constraints and provides a solution method

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