Open AccessRural Road Network Planning Based on 5G and Traffic Big Data
Author(s) -
Minqing Zhu,
Zi Wang,
Hongjun Cui,
Sheng Yao
Publication year - 2022
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1155/2022/1991757
Subject(s) - prosperity , transport engineering , china , index (typography) , rural area , scheme (mathematics) , computer science , network planning and design , business , engineering , geography , economic growth , telecommunications , economics , mathematical analysis , mathematics , archaeology , world wide web , medicine , pathology
In order to adapt to the healthy development of China’s road network and the prosperity of the rural economy, rural roads are facing the need to continue to promote the construction of roads that reach deeper nodes. It is urgent to conduct in-depth and systematic research on the planning methods of China’s rural networked roads. A road network model oriented to rural road network planning is proposed. First, the traffic demand is predicted, and then remote sensing technology and computer technology are used to evaluate the technical performance of the rural road network. The experimental results show that the comprehensive evaluation index value is 0.8 by combining the weight of each index, and the planning scheme is comprehensively evaluated. The evaluation results show that the program better supports the local social and economic development.