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Traffic safety risk field construction method based on WIM data

A traffic safety and construction method technology, applied in the field of traffic safety risk field construction based on WIM data, can solve the problem that the parameter error is only ±3%, achieve strong practicability and accuracy, bridge structural mechanics analysis and traffic safety Risk assessment promotes and improves the effect of traffic flow theory and traffic simulation modeling

Active Publication Date: 2018-09-25
TONGJI UNIV
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  • Summary
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  • Application Information

AI Technical Summary

Problems solved by technology

The Weigh-In-Motion (WIM) system, which has been widely used in recent years, can accurately measure vehicle information including its vehicle weight, axle load, vehicle length, wheelbase, vehicle speed, etc., as well as vehicle time distance, traffic flow, vehicle Car-following and other load characteristics and traffic flow information, the current WIM equipment under different road conditions and driving conditions, the parameter error of the test is only ±3%

Method used

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  • Traffic safety risk field construction method based on WIM data
  • Traffic safety risk field construction method based on WIM data
  • Traffic safety risk field construction method based on WIM data

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Embodiment

[0045] Such as figure 1 As shown, the present embodiment proposes a method for constructing a traffic safety risk field based on WIM data, which specifically includes the following steps:

[0046] 1) Based on the measured WIM data, analyze the traffic flow rules and traffic behavior of vehicles with different axles, and construct a traffic simulation model of cellular automaton considering the load characteristics, which specifically includes the following steps:

[0047] 11) Divide vehicle types by axle type, and use measured WIM data to analyze the spatio-temporal law and traffic behavior of axle-type vehicle traffic flow elements (including vehicle speed, traffic volume, and traffic composition);

[0048] 22) Using the traffic operation rules of axle-type vehicles determined by the measured WIM data, combined with the car-following and lane-changing characteristics, a cellular automata simulation model for the research road object is established.

[0049] 2) In order to an...

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Abstract

The invention relates to a traffic safety risk field construction method based on WIM data. The method comprises the steps that the traffic flow law and traffic behavior of different axle vehicles areanalyzed based on measured WIM data, and a cellular automaton traffic simulation model considering load characteristics is constructed; potential collision energy is used as an indicator to measure risk consequences, and a traffic safety risk assessment indicator set is established; a traffic safety space-time dimension risk field model is established; and finally traffic safety risk level assessment based on the WIM data is realized. Compared with the prior art, the method provided by the invention considers the influence of load characteristics on traffic safety, realizes the visualizationof the space-time dimension of traffic risks, provides a new theory and a new method for traffic safety risk assessment and active safety control, and provides a theoretical basis and technical support for dynamic assessment and early warning of traffic safety risks of express ways, high-risk roads, and particularly bridges, tunnels and other key transportation infrastructures.

Description

technical field [0001] The invention relates to the field of highway traffic safety risk assessment and management, in particular to a method for constructing a traffic safety risk field based on WIM data. Background technique [0002] With the growth of my country's road transportation demand, the development of expressways is advancing by leaps and bounds. The development of expressways shortens the space-time distance between provinces and cities, speeds up the exchange of people and goods between regions, reduces production and transportation costs, and promotes national economic development and social progress. At the same time, the greater demand for road transportation also makes heavy-load vehicles (such as large and extra-large freight vehicles) gradually occupy a greater share of expressway traffic, which has a certain impact on expressway operation and maintenance and traffic safety. Load characteristics are an important attribute of traffic flow, which not only ...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06F17/50
CPCG08G1/0137G06F30/20
Inventor 涂辉招李浩王颖孙立军何青俊
Owner TONGJI UNIV
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