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Random traffic flow simulation method in road and bridge based on measured data

A random traffic flow, highway bridge technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to achieve the effect of high accuracy

Inactive Publication Date: 2015-09-23
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.

Method used

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  • Random traffic flow simulation method in road and bridge based on measured data
  • Random traffic flow simulation method in road and bridge based on measured data
  • Random traffic flow simulation method in road and bridge based on measured data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] A random traffic flow simulation method for highway bridges based on measured data, the specific steps are as follows:

[0071] 1). Carry out random traffic flow investigation on highway bridges and obtain random traffic sample data:

[0072] 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,...

Embodiment 2

[0091] 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.

[0092] Investigation and analysis of random traffic flow on highway bridges:

[0093] Carry out random traffic flow survey on highway bridges and obtain random traffic sample data:

[0094] 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

[0136] Embodiment 3: Simulation result verification

[0137] Comparison of vehicle models and lateral position calculations

[0138] 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.

[0139] 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 parameters of traffic flow.

[0140] Comparing the results calculated by the method with the measured vehicle lateral position, it can be clearly seen that the simulation results of this method can better reflect the form of the actual lateral position distribution of the vehicle, and the degree of fitting is high.

[0141] Vehicle weight data calculation comparison

[0142] Depend on Figure 20-24 , it ...

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Abstract

The present invention belongs to the technical field of architecture and transportation bridges, and more particularly relates to a random traffic flow simulation method in roads and bridges based on measured data. According to the method, an algorithm is compiled by using Monte-Carlo method and a time distance matrix for determining vehicle random head is calculated; by means of time series sequencing, when the time interval of the permutations is equal to the time distance of the traffic flow time matrix, a vehicle generation module is enabled to generate the vehicles that are running on the bridge at the time and attributes are assigned to the vehicles. When the interval of the permutations is less than the traffic flow time distance, the method according to the present invention is only applicable in executing a vehicle running module, and calculating horizontal and vertical locations of the vehicles that are running on the bridge at the time; according to the filtered Poisson process principle and in combination with the practically measured vehicle parameter distribution types, a random traffic flow simulation model is established, and the distribution regulations of randomness of vehicles is described.

Description

technical field [0001] The invention belongs to the technical field of construction and traffic bridges, and in particular relates to a method for simulating random traffic flow of highway bridges based on measured data. 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 caused more and more scholars to pay 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 fatigu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 韩万水武隽赵士良马麟王涛肖强吴柳杰
Owner CHANGAN UNIV
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