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A regional short-term traffic flow prediction method and system based on big data of Internet of Vehicles

A technology of short-term traffic flow and forecasting method, which is applied in the field of regional short-term traffic flow prediction based on big data of the Internet of Vehicles, can solve various types of vehicle prediction and other problems, and achieve the goal of improving the park's traffic control ability and prediction accuracy Effect

Active Publication Date: 2022-05-24
芽米科技(广州)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a short-term traffic flow prediction method and system based on the big data of the Internet of Vehicles in order to solve the problem that the existing technology cannot predict various types of vehicles in a fixed area.

Method used

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  • A regional short-term traffic flow prediction method and system based on big data of Internet of Vehicles
  • A regional short-term traffic flow prediction method and system based on big data of Internet of Vehicles
  • A regional short-term traffic flow prediction method and system based on big data of Internet of Vehicles

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Embodiment 1

[0048] In the industrial park, there are many types of commercial freight vehicles, and the set parking spaces are used for parking, unloading and loading of different types of vehicles. The unloading manipulators are inconsistent, so the corresponding types of trucks need to be parked in the corresponding parking spaces for unloading) The existing prediction technology is difficult to predict the type of vehicles and their corresponding quantities. All the parking spaces used for parking this type of vehicle, if the merchant still hires this type of freight vehicle to distribute goods in the section at this time, since there is no vacant parking space for this type of vehicle parking and unloading, it is obviously necessary to wait , resulting in the failure of merchants to complete the distribution of goods in time.

[0049] Therefore, a regional short-term traffic flow prediction method based on the big data of the Internet of Vehicles in this embodiment 1, such as figure ...

Embodiment 2

[0083] The difference between this embodiment and Embodiment 1 is that, taking one week as the unit of time to predict the traffic flow in the next week, the time period of the week can be divided into 7 days, and the number of predictions in the next week=sum 7 days {using the statistical method The number of predictions obtained×[(average of the actual traffic flow on each day of the week in the past / average of the actual traffic flow in the past week)×accuracy rate of the prediction of the traffic flow corresponding to each day]}.

Embodiment 3

[0085] The difference between this embodiment and Embodiment 1 is that the month is used as a unit of time to predict the traffic flow of the next month, and the time period of a month can be divided into four weeks or 30 days.

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Abstract

The invention discloses a method and system for predicting regional short-term traffic flow based on big data of the Internet of Vehicles, which realizes the prediction of the types and quantities of multiple types of vehicles passing through the target region, and improves the traffic management and control capabilities of the park and the resources of commercial vehicles. Utilize efficiency and provide guidance for merchants' production arrangements. At the same time, the forecasted amount per unit time is divided into several time zones, and the time zone method is used for forecasting, which dilutes the time zone with low forecast accuracy, so that the forecast per unit time Accuracy has been significantly improved.

Description

technical field [0001] The invention relates to the technical field of traffic flow prediction, in particular to a method and system for regional short-term traffic flow prediction based on the big data of the Internet of Vehicles. Background technique [0002] The commercial vehicle networking completes the collection of its own environment and status information through Beidou / GPS, RFID, sensors, camera image processing and other devices, and transmits various information of the vehicle itself to the server (cloud) through the Internet, which has a large number of vehicle locations. and operating status information constitute the commercial vehicle networking big data. Using big data analysis technology to analyze and process this information through computers can extend many valuable application scenarios. For example, in the ITS field, it can be used for commercial vehicles Optimal route planning, timely reporting of road condition information, dynamic adjustment of traf...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01H04L67/12
CPCG08G1/0104H04L67/12
Inventor 刘剑秦飞龙黄兆飞谢三山
Owner 芽米科技(广州)有限公司
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