Traffic accident risk estimation method and system
A technology for traffic accident and risk assessment, applied in data processing applications, machine learning, instruments, etc., to solve problems that do not involve safety assessment during the operation period of expressway tunnels
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[0138] This embodiment mainly illustrates and verifies the calculation example for the evaluation method proposed by the present invention.
[0139] Step 1: Select six factors that affect the risk of highway tunnel traffic accidents, and the relationship between various risk factors and the risk level of traffic accidents, as shown in Table 1 below.
[0140] Table 1 The relationship between risk factors and the risk level of traffic accidents
[0141]
[0142] In this embodiment, a total of 100 expressway tunnels across the country are selected to collect relevant data, and 100 sets of traffic accident risk factor data are obtained. Based on these data, the specific implementation of the algorithm is described.
[0143] Step 2. Classification of Expressway Tunnel Risk Levels
[0144] The risk level is divided into four levels: safe, relatively safe, relatively dangerous, and dangerous. Assign the values 1, 2, 3, and 4 respectively.
[0145] Step 3. Determination of th...
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