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A Traffic Flow Simulation and Prediction Method Based on Turning Coefficient

A prediction method and technology of traffic flow, applied in the field of intelligent transportation, can solve the problems of poor accuracy, stability and effectiveness

Active Publication Date: 2017-04-26
ENJOYOR COMPANY LIMITED
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the disadvantages of poor prediction accuracy, stability and effectiveness of the existing traffic flow prediction methods, the present invention provides a traffic flow simulation and prediction based on steering coefficients that can effectively improve the prediction accuracy, stability and effectiveness method

Method used

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  • A Traffic Flow Simulation and Prediction Method Based on Turning Coefficient
  • A Traffic Flow Simulation and Prediction Method Based on Turning Coefficient
  • A Traffic Flow Simulation and Prediction Method Based on Turning Coefficient

Examples

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example

[0096] Example: traffic flow simulation and prediction method based on steering coefficient, including the following steps:

[0097] Step 1: Take the road sections with checkpoints in Hangzhou as the collection object, and take [2014-08-01] to [2014-08-31] as the sampling period from 09:00 to 09:30 every day for a consecutive month, and collect Checkpoint vehicle passing record data, including checkpoint number, time of vehicle passing through the checkpoint, license plate number and other information, with the data from [2014-08-01] to [2014-08-30] as the training sample set, [2014- 08-31] is the test sample set.

[0098] Step 2: Data preprocessing. For the checkpoint passing record data collected in step 1, due to the environment, equipment failure and other reasons, not all vehicle license plates can be recognized. Therefore, in order to improve the effectiveness of the method, it is necessary to eliminate those unrecognized license plates in the calculation. Data, the el...

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Abstract

Provided is a traffic flow simulating and predicting method based on turning probability. The method preprocesses vehicle traffic recorded data in certain travelling direction, computes the turning probability at an intersection, models a road section flow according to the turning probability, and establishes a traffic flow predicting model by means of a simulated model and road section historical states in order to perform prediction. The method uses a spatial relationship among roads, eliminates dynamic data instability, and effectively improves prediction precision, stability, and effectiveness.

Description

technical field [0001] The invention belongs to the field of intelligent traffic and relates to a traffic flow prediction method. Background technique [0002] With the rapid development of the economy, more and more motor vehicles appear on the road, and traffic congestion is becoming more and more serious. In order to cope with the increasingly harsh traffic environment, intelligent transportation systems have emerged as the times require. How to solve traffic congestion and traffic safety problems is the research focus of intelligent transportation system. Among them, obtaining accurate and timely traffic flow information is the key to the success of the intelligent transportation system. It can help road users make better travel decisions, and at the same time help traffic managers make better traffic control plans and improve the road network. usage efficiency. Therefore, how to quickly and accurately predict traffic flow has become a research focus in the field of i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/065
Inventor 李丹李建元王毅陈涛顾超靳明豪
Owner ENJOYOR COMPANY LIMITED
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