It is extremely important to consider traffic blockage due to heavy snow. In this study, we used observed data of traffic interception due to snow between January 11 and 20, 2001 in Ishikawa and investigated the mechanism of such an event based on neural network approach. We performed sensitivity analysis to compare the effect of input parameters on output values. The sensitivity is defined as a mean value of various output values in each of the seven divisions which were assigned between plus one standard deviation and minus one standard deviation. Mitigation measures such as increasing snow-melting facilities and decreasing the number of passing vehicles of each route were discussed.
ニューラルネットワークを用いた2001年大雪による交通障害の要因分析: 石川県内の主要幹線をケーススタディとして
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TE-PR-MIYAJIMA-M-20_374.pdf
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