Multi-mode travel O-D demand estimation method based on multi-source data check

Abstract

The application discloses a multi-mode travel O-D demand estimation method based on multi-source data check. The method comprises: S1, selecting basic elements in a transportation network and establishing an urban multi-mode transportation network model based on travel needs among the basic elements; and S2, carrying out pre-treatment on multi-source historical traffic data for checking an O-D demand estimator and carrying out statistic calculation to obtain needed basic data; and estimating the multi-mode O-D demand by using the model from the S1 and the calculation result from the S2 to obtain a novel total O-D demand. According to the method disclosed by the application, statistics is carried out based on multiple data sources; and he restriction on the previous single-mode O-D demand estimation is eliminated, the traffic characteristics of various modes of travel in the road network are considered comprehensively, the mutual feedback mechanism between O-D demands and section flowsis reflected, the problem of consistency between the O-D estimation value and the actual observation value is solved, and the obtained urban multi-mode O-D demand distribution result meets the user balance criteria.

Description

technical field [0001] The invention relates to the field of traffic travel, in particular to a multi-mode travel O-D demand estimation method based on multi-source data checking. Background technique [0002] O-D (Origin-Destination) demand describes the travel demand of travel units in different traffic areas in the transportation system, and can reflect the distribution of traffic participants such as people and vehicles in the road network within a specific time. O-D demand is an important basic data for traffic planning and management. How to scientifically and accurately predict or estimate the O-D demand of the traffic system has always been one of the hot issues in the transportation field. [0003] The travel of urban residents in my country is a typical multi-modal travel mode. The multi-modal O-D demand describes the O-D demand distribution of different travel modes in the city, and is an important data support for the formulation of comprehensive transportation p...

AI Technical Summary

Problems solved by technology

However, the existing O-D demand estimation methods for urban road networks are basically based on a single mode of road network, and rarely calculate the demand for different modes between small areas. These methods are difficult to consider the traffic characteristics of different travel modes in the road network. It also cannot analyze comprehensive travel behaviors such as traveler's transportation choice and route choice.

At the same time, the existing method uses a single source of calibration data, and usually only uses the traffic detection flow of the road section to check the O-D estimated value, which cannot meet the accuracy requirements of traffic management for O-D demand estimation

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