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Urban traffic system modeling system

A technology of urban traffic and system modeling, applied in the field of traffic modeling, can solve problems such as heavy workload of modeling and parameter calibration, difficulty in describing urban traffic system, and insufficient accuracy of macro-model, so as to achieve strong practicability and reduce system A large amount of computation and a wide range of effects

Active Publication Date: 2019-12-31
GUIZHOU UNIVERSITY OF FINANCE AND ECONOMICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the existing urban traffic modeling systems, some macro models are not accurate enough, some micro models are too complex, and the workload of modeling and parameter calibration is too large And it is difficult to manage, and it is difficult to describe the complex urban traffic system; therefore, there is an urgent need for an urban traffic system modeling system with high precision, simple operation, small workload, and convenient management

Method used

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  • Urban traffic system modeling system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Embodiment 1: with reference to attached figure 2 As shown, the urban traffic system modeling system also includes a traffic demand monitoring model building module, including a total travel volume statistics unit, a per capita trip times statistics unit, a motor vehicle total travel volume statistics unit, and an average number of motor vehicle trips statistical unit ; When working, count parameters such as total travel volume, per capita trip times, average number of motor vehicle trips, and total motor vehicle trips through each unit; total travel volume, per capita trip times, average number of motor vehicle trips, The total travel volume, the average travel distance of motor vehicles and the total mileage of motor vehicles are the influencing factors, and the traffic demand monitoring model is established. Through the statistics of pedestrians and vehicles on the road, the statistical information is transmitted to the urban mixed traffic network distribution model ...

Embodiment 2

[0060] Embodiment 2: with reference to attached image 3 As shown, different from Embodiment 1, the described urban traffic system modeling system also includes a limited traffic network distribution model building module, including a congested section traffic statistics unit, a special section traffic statistics unit, and an automatic memory unit during congested periods. When using each unit to count parameters such as congested road sections, congested time, special road sections, etc., and take the statistically congested road sections, congested time, special road sections and other factors as influencing factors, a distribution model of restricted traffic network is established. , Congestion time, and special road sections are counted and calibrated, and the calibrated data are stored in the database, and the flow of traffic and passenger traffic is allocated to congested road sections and special road sections within a fixed period of time to avoid congested road section...

Embodiment 3

[0061] Embodiment 3: with reference to attached Figure 4 As shown, different from Embodiment 2, the urban traffic system modeling system also includes a traffic guidance information release model building module, which is used to send various warnings, prompts, publicity and other information, and establishes a traffic guidance information release model, Provide travel warnings to travelers, and better publicize urban traffic laws and regulations, and enhance travelers' awareness of obeying traffic rules;

[0062] The module for establishing the traffic guidance information release model includes a submodule for establishing an urban street guidance information release model and a submodule for establishing a city parking guidance model. Vehicle traffic conditions, the urban parking guidance model establishment sub-module is used to guide drivers to choose a parking lot, and counts the number of empty parking spaces in a parking lot, which is convenient for drivers to choose ...

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Abstract

The invention discloses an urban traffic system modeling system, comprising a signal control model establishing module, an urban road traffic network capacity model establishing module, an urban hybrid traffic network flow distribution model establishment module, a motor vehicle ownership monitoring model establishment module, a traffic demand monitoring model establishment module, a traffic control traffic network flow distribution model establishment module, a traffic guidance information release model establishment module, a prediction road section flow distribution model establishment module and a traffic management measure evaluation model establishment module; work distribution among the modules is carried out according to specific conditions of urban traffic, which accords with theactual condition of urban traffic; the system model can be high in precision through the setting of the signal control model building module and the urban road traffic network capacity model buildingmodule; and the system is convenient to manage through the setting of the urban hybrid traffic network flow distribution model building module and the motor vehicle ownership monitoring model buildingmodule. The urban traffic system modeling system has the characteristics of wide application range, high precision and high practicability.

Description

technical field [0001] The invention belongs to the technical field of traffic modeling, in particular to an urban traffic system modeling system. Background technique [0002] A road traffic model refers to a mathematical or physical equation that indicates the relationship between road traffic parameters and related socioeconomic parameters. Road traffic parameters include parameters such as traffic flow, vehicle speed, density, and headway. Socioeconomic parameters include population, socioeconomic development Level, road mileage, land use and other parameters; apply mathematical statistics, operations research, cybernetics, qualitative and quantitative analysis, etc. to establish models to reflect the main parts of the transportation system: for example, in urban traffic planning, there are regression occurrence and type occurrence models for predicting travel occurrence, Car-following theory includes linear and non-linear car-following models, etc. The purpose is to ana...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 余孝军唐华容毛君竹
Owner GUIZHOU UNIVERSITY OF FINANCE AND ECONOMICS
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