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Method and system for predicting traffic volume based on highway toll collection data

A technology of toll data and expressway, applied in the direction of road vehicle traffic control system, traffic control system, traffic flow detection, etc.

Active Publication Date: 2018-03-13
BEIJING YUNXINGYU TRAFFIC SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention provides a method and system for predicting traffic volume based on expressway toll data to solve the problem of how to predict the OD traffic volume of expressway

Method used

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  • Method and system for predicting traffic volume based on highway toll collection data
  • Method and system for predicting traffic volume based on highway toll collection data
  • Method and system for predicting traffic volume based on highway toll collection data

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Embodiment approach

[0103] In the embodiment of the present invention, the method of predicting traffic volume based on expressway toll data first, according to the time when the vehicle enters the expressway, the entrance ID and exit ID, and according to the time granularity requirements, the network toll data is counted as the time granularity threshold Aggregate data for every 10 seconds, every 5 minutes, every hour, or other time intervals. Specifically include the following steps:

[0104] Step1: Use the cast function to convert the field format of the high-speed entry time of the network charging data from datetime to float. After the conversion, the unit digit represents the number of days from January 1, 1900 to that day.

[0105] Step2: In order to facilitate aggregation, the converted entry time t needs to be calculated according to the time granularity ent Perform precision truncation processing:

[0106] t=[t ent ×24×60×60÷t dur ]×t dur ÷60÷60÷24,

[0107] Among them, [] means r...

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Abstract

The invention discloses a method for predicting a traffic volume between the entrance and exit of a highway based on highway toll collection data, and the method comprises the steps: carrying out thecollection and processing of networking toll collection data of the highway in a preset time period according to a time granularity threshold value, and obtaining the collected networking toll collection data; converting the collected networking toll collection data into at least one OD traffic demand matrix according to a certain index rule; generating an OD traffic demand time sequence through at least one OD traffic demand matrix, and employing an ARIMA (Autoregressive Integrated Moving Average) model for predicting a OD traffic demand quantity in a future period. The method can help a manager timely obtain the development situation of the traffic demands, achieves the early warning against the sharp increase of traffic demands, achieves the pre-judgment of whether the capacity of the highway is overloaded or not, lays a data foundation for the efficient daily business of the highway, the reasonable formulating of policies and measures, the investment of a construction project, andprovides the decision-making reference data.

Description

technical field [0001] The present invention relates to the technical field of expressway networking toll data analysis, and more specifically, to a method and system for predicting traffic volume based on expressway toll data. Background technique [0002] In recent years, the construction of expressways in our country has developed vigorously, which has played a very important role in promoting regional economic development. As the utilization rate of expressways is getting higher and higher, the corresponding problems of expressway traffic congestion, traffic safety and environmental pollution have gradually appeared, which have become urgent problems in the operation of expressways. [0003] At the same time, in the operation of the expressway, a large amount of network toll data is generated. This data stores the detailed information of all vehicles entering and exiting the expressway, including the time and place of entry, time and place of departure, vehicle license p...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26G08G1/0129
Inventor 郜义浩曹正风陈日强李少丁陈兆志
Owner BEIJING YUNXINGYU TRAFFIC SCI & TECH
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