Open AccessResearch on Road Landscape Scale Design Based on the Neural Network Algorithm
Author(s) -
Hua Chen,
Yan Shang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1885/5/052043
Subject(s) - artificial neural network , scale (ratio) , traffic accident , transport engineering , computer science , algorithm , engineering , artificial intelligence , geography , cartography
There had high traffic accidents rate in China. The accident rate was on an upward trend every year. The cause of the accidents frequently occur, including the driver’s driving level, the safety performance of the car and the design of the road landscape scale. Therefore, in order to reduce the accident rate, this paper presented the research of road landscape scale design based on neural network algorithm to reduce the accident rate. The scale of the landscape was designed by neural network algorithm, and then transforming variables, size and other design elements were processed. The paper had selected the road as a pilot at random, with the most humane scale design as the standard for regional design investment. Through comparing the monitoring of pilot locations, we found that the rate of traffic accidents had been effectively reduced.