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Highway bridge random traffic flow simulation method

A random traffic flow, highway bridge technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the congestion of a certain lane or multiple lanes, lane congestion cannot be considered, and the calculation and analysis of bridge response brings great problems. Big problems and other problems, to achieve the effect of improving accuracy, realistic effect and high precision

Inactive Publication Date: 2015-08-19
CHANGAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, whether it is the early research or the current research on random traffic flow, its research methods rely too much on the basic assumptions of vehicle types, vehicle weights, vehicle distances, and vehicle speeds.
[0004] Moreover, in extreme events, the bridge or the approach road sections upstream and downstream of the bridge may be blocked in one or more lanes. The current random traffic flow model cannot consider the phenomenon of blocked lanes, so it cannot be restored with high fidelity. The real state of the bridge under extreme events will bring great problems to the calculation and analysis of the bridge response under extreme events

Method used

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  • Highway bridge random traffic flow simulation method
  • Highway bridge random traffic flow simulation method
  • Highway bridge random traffic flow simulation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] A method for simulating random traffic flow on a highway bridge, the specific steps are as follows:

[0076] 1). Carry out random traffic flow investigation on highway bridges and obtain random traffic sample data:

[0077] Use the traffic load information acquisition device and dynamic weighing system for data measurement, comprehensively collect the random traffic flow data information on the cross-section, and identify the specific type of vehicle through on-site manual field investigation, according to the vehicle image and video information provided by the traffic load information acquisition device. The cross-section random traffic flow data recorded by the dynamic weighing system is checked to obtain accurate and reliable measured data as random traffic flow sample data. The random traffic flow sample data obtained includes vehicle classification, vehicle composition ratio, traffic flow, lane distribution, vehicle speed Time distance parameter, lateral position p...

Embodiment 2

[0098] The validity and accuracy of the random traffic flow simulation method is verified by comparing the calculation of the 48-hour random traffic flow simulation of Lianhuo Expressway with the measured data. The verification method uses statistical analysis of randomly selected sampling data to verify whether its distribution law and distribution type are consistent with the survey statistics.

[0099] Investigation and analysis of random traffic flow on highway bridges:

[0100] Carry out random traffic flow survey on highway bridges and obtain random traffic sample data:

[0101] Use the traffic load information acquisition device and dynamic weighing system for data measurement, comprehensively collect the random traffic flow data information on the cross-section, and identify the specific type of vehicle through on-site manual field investigation, according to the vehicle image and video information provided by the traffic load information acquisition device. Check the...

Embodiment 3

[0145] Embodiment 3: Simulation result verification

[0146] The validity and accuracy of the random traffic flow simulation program is verified by comparing the calculation of the 48-hour random traffic flow simulation of Lianhuo Expressway with the measured data. The verification method uses statistical analysis of randomly selected sampling data to verify whether its distribution law and distribution type are consistent with the survey statistics.

[0147] Comparison of vehicle models and lateral position calculations

[0148] Depend on Figure 7 It can be clearly seen that the proportion of vehicle models randomly generated by this program is basically consistent with the statistical data of the traffic volume survey.

[0149] Depend on Figure 8-19 , it can be seen that the method of sub-vehicle classification is verified by using a large category of vehicle types, and the regularity is very obvious, which can reflect the statistical characteristics of the basic parame...

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Abstract

The invention belongs to the technical field of buildings and traffic bridges, and particularly relates to a highway bridge random traffic flow simulation method. A random traffic flow simulation model is established with a Monte-Cralo method, and the random distribution rule of vehicles on a highway bridge is described to simulate the formation of random traffic flow. Moreover, the simulation of random traffic flow in the case of extreme events is added, so that the simulation effect is more vivid; the simulation accuracy is further increased; the practical vehicle load acting on the bridge is better reflected; and powerful support is provided for the fatigue analysis and power response analysis of a bridge structure.

Description

technical field [0001] The invention belongs to the technical field of construction and traffic bridges, and in particular relates to a random traffic flow simulation method for highway bridges. Background technique [0002] With the development of the automobile industry and the transportation industry, the load on the bridge structure has undergone great changes. The continuous growth of traffic volume, the rapid improvement of vehicle performance, and the frequent occurrence of overloading and overloading have attracted more and more attention to issues such as vehicle-bridge coupling, fatigue damage, and assessment of bridge remaining life. However, in previous studies, it was usually assumed that the traffic flow only obeyed one or several simple distributions, and the random characteristics of the traffic flow were not fully considered, which would cause great errors in subsequent bridge research and evaluation. For bridge fatigue research, it is of great significance...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 韩万水李彦伟王涛马麟赵士良肖强
Owner CHANGAN UNIV
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