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

A technology of short-term traffic flow and prediction method, which is applied in the field of regional short-term traffic flow prediction based on the big data of the Internet of Vehicles, can solve problems such as prediction of various types of vehicles, and achieve the goal of improving the traffic management and control ability of the park and improving the prediction accuracy. Effect

Active Publication Date: 2020-11-17
CHENGDU TECHCAL UNIV
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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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  • Regional short-term traffic flow prediction method and system based on Internet of Vehicles big data
  • Regional short-term traffic flow prediction method and system based on Internet of Vehicles big data
  • Regional short-term traffic flow prediction method and system based on Internet of Vehicles big data

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Effect test

Embodiment 1

[0048] In the industrial park, there are many types of commercial freight vehicles, and the parking spaces are set up 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) It is difficult to predict the type of vehicles and their corresponding quantities due to the existing forecasting technology. All the parking spaces used to park this type of vehicles, if the merchant still employs this type of freight vehicles to distribute goods in this section at this time, since there are no vacant parking spaces for this type of vehicles to park and unload, obviously need to wait , As a result, the distribution of goods by merchants cannot be completed 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 1 sho...

Embodiment 2

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

Embodiment 3

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

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Abstract

The invention discloses a regional short-term traffic flow prediction method and system based on Internet of Vehicles big data, and the method and system achieve the prediction of the types and numberof various types of vehicles flowing through a target region, improve the park traffic management and control capability and the resource utilization efficiency of commercial vehicles, and provide guidance for the production arrangement of merchants. Meanwhile, the prediction amount in unit time is divided into a plurality of time sections, prediction is performed by adopting a time division method, and the time section with relatively low prediction accuracy is diluted, so that the prediction accuracy in unit time is obviously improved.

Description

technical field [0001] The invention relates to the technical field of traffic flow forecasting, in particular to a regional short-term traffic flow forecasting method and system based on big data of Internet of Vehicles. Background technique [0002] The commercial vehicle networking completes the collection of its own environment and state 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. These have a large number of vehicle locations. and operating status information constitute the big data of commercial vehicle networking. Using big data analysis technology to analyze and process this information through computers can extend numerous and valuable application scenarios. For example, in the ITS field, commercial vehicles can be Optimal route planning, timely road condition information reporting, dynamic adjustment of traffic lights on ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01H04L29/08
CPCG08G1/0104H04L67/12
Inventor 刘剑秦飞龙黄兆飞谢三山
Owner CHENGDU TECHCAL UNIV
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