Traffic demand prediction method and device and electronic equipment

A forecasting method and technology of traffic demand, applied in the field of data processing, can solve the problems of low accuracy of traffic demand forecast results, lack of stability and consistency of behavior parameters, etc., to achieve rich forecast travel data, ensure accuracy, and improve accuracy Effect

Active Publication Date: 2021-08-31
SHENZHEN URBAN TRANSPORT PLANNING CENT
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the sub-models of trip generation, trip distribution, mode division and traffic allocation in this model are independent of each other, and the behavior parameters lack stabilit...

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  • Traffic demand prediction method and device and electronic equipment
  • Traffic demand prediction method and device and electronic equipment
  • Traffic demand prediction method and device and electronic equipment

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Embodiment Construction

[0024] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0025] The traffic demand prediction method provided by the embodiment of the present application can be applied to electronic devices such as tablet computers, vehicle-mounted notebook computers, ultra-mobile personal computers (UMPC), netbooks, and personal digital assistants (PDA). Regarding the device, the embodiment of the present application does not impose any limitation on th...

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Abstract

The invention discloses a traffic demand prediction method and device, and electronic equipment. The method comprises the steps of obtaining a trip chain of each target trip crowd in a target area; generating a model based on the trip chain and the trip data, and generating predicted trip data of each target trip crowd; determining a traffic distribution result of the target area based on the predicted travel data of each target travel crowd; if the traffic distribution result does not meet a preset convergence condition, calculating traffic comprehensive impedance according to the traffic distribution result, obtaining updated predicted travel data of each target travel crowd by combining the traffic comprehensive impedance, and obtaining an updated traffic distribution result based on the updated predicted travel data of each target travel crowd; and if the traffic distribution result or the updated traffic distribution result satisfies a convergence condition, outputting a traffic demand prediction result in the target area, the traffic demand prediction result including predicted travel data and the traffic distribution result. The accuracy of the travel demand prediction result can be improved.

Description

technical field [0001] The present application belongs to the technical field of data processing, and in particular relates to a method for predicting traffic demand, a device for predicting traffic demand, electronic equipment, and a computer-readable storage medium. Background technique [0002] Urban transportation demand forecasting mainly predicts the future based on the past and current status of the transportation system and its external systems, combining historical experience, objective data and logical judgment, the process of the development law and future trend of the transportation system. It is not only a forecast of the future, but also a decision-making, that is, it is necessary to explore and grasp the future development law of traffic demand, and to correctly guide and reasonably control future traffic demand based on existing resource conditions. Traffic demand forecasting is an important part of urban traffic management planning, and the accuracy of its r...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06F17/11
CPCG08G1/0125G06F17/11
Inventor 张晓春黄焕郑猛丘建栋胡跃平佘世英向燕陵刘恒雷焕宇刘晓玲丁雪晴何磊邓远冬
Owner SHENZHEN URBAN TRANSPORT PLANNING CENT
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