Robotics & Machine Learning Daily News2024,Issue(Sep.4) :16-17.

La Trobe University Reports Findings in Machine Learning (A novel framework for crash frequency prediction: Geographic support vector regression based on agent- based activity models in Greater Melbourne)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :16-17.

La Trobe University Reports Findings in Machine Learning (A novel framework for crash frequency prediction: Geographic support vector regression based on agent- based activity models in Greater Melbourne)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Bundoora, Au stralia, by NewsRx correspondents, research stated, “The fieldof spatial analys is in traffic crash studies can often enhance predictive performance by addressi ng theinherent spatial dependence and heterogeneity in crash data. This researc h introduces the GeographicalSupport Vector Regression (GSVR) framework, which incorporates generated distance matrices, to assessspatial variations and evalu ate the influence of a wide range of factors, including traffic, infrastructure,socio-demographic, travel demand, and land use, on the incidence of total and f atal-or-serious injury (FSI)crashes across Greater Melbourne’s zones.”

Key words

Bundoora/Australia/Australia and New Z ealand/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Regress ion

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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