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A daily link traffic forecasting method considering traveler decision inertia

A technology for flow forecasting and travellers, applied in traffic flow detection, traffic control systems of road vehicles, instruments, etc., can solve the problems of incomplete conformity of traditional models, and achieve the effect of strong theoretical research significance and practical guidance value

Active Publication Date: 2022-04-29
SOUTHEAST UNIV
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Problems solved by technology

As a result, the assumptions of traditional models do not exactly match the reality

Method used

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  • A daily link traffic forecasting method considering traveler decision inertia
  • A daily link traffic forecasting method considering traveler decision inertia
  • A daily link traffic forecasting method considering traveler decision inertia

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Experimental program
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specific Embodiment approach

[0068] Forecasting the segment traffic distribution on the Nth day in the network The specific steps are as follows:

[0069] Step 0 Organize traffic survey, determine the number m of categories of travelers in the network, inertia mode H i i∈M={1,2,...m}; Determine the proportion l of travelers who are willing to travel according to the evaluation results; Determine the traffic demand of different types of travelers between each OD pair {(d w ) i ,w∈W,i∈M}; Determine the traffic capacity C of road section a∈A a , free flow travel time c a0 , the initial section traffic and the initial segment traffic of various types of travelers on the segment i∈M; let t=0;

[0070] Step 1 according to the inertia mode H i ,right Determine whether the ith type of traveler is willing to re-evaluate the travel route of the next day on day t, and obtain the traveler category set M that is willing to re-evaluate the route of the next day t ;

[0071] Step 2 consists of a∈A Calcu...

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Abstract

The invention studies the decision-making inertia in the route selection process of travellers, and based on this, proposes a daily section traffic forecasting method considering the decision-making inertia of travelers. This method can predict the flow distribution of road sections on any subsequent Nth day based on the initial traffic distribution of network road sections obtained from the survey, so as to provide valuable guidance for the formulation and implementation of traffic control measures in the future. Compared with the prior art, the present invention takes into account the influence of traveler's decision-making inertia on the dynamic evolution process of network traffic flow, and can provide more accurate and reasonable predictions for urban traffic flow at any time, which is a breakthrough in traffic flow distribution prediction technology. Exploration and innovation have strong theoretical research significance and practical guidance value.

Description

technical field [0001] The invention relates to the technical field of traffic flow distribution forecasting, in particular to a daily section traffic forecasting method considering traveler decision inertia. Background technique [0002] The traffic distribution model is used to predict the link flow or path flow in the traffic network under the equilibrium state. The daily dynamic evolution model of traffic flow can predict the distribution of network traffic on a certain day in the process of traffic flow gradually approaching the equilibrium state by simulating the dynamic evolution process of network traffic flow. Therefore, the daily dynamic evolution model can better reflect the time-varying characteristics of traffic flow in the network than the traffic allocation model. [0003] The traditional day-to-day dynamic evolution model of traffic flow assumes that travelers will re-evaluate the travel costs of each route every day according to the road traffic conditions ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0125G08G1/0137
Inventor 周博见蒋曦崔少华张永何杰
Owner SOUTHEAST UNIV
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