Open AccessResearch on Driver Model of Public Transportation Energy Consumption System Based on Computer Cloud Computing Analysis
Author(s) -
Junhui Liu,
Yaya Wang,
Lisha Shang
Publication year - 2020
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 - 10.1088/1742-6596/1650/3/032047
Subject(s) - energy consumption , public transport , cloud computing , transport engineering , consumption (sociology) , environmental economics , intelligent transportation system , computer science , advanced traffic management system , energy (signal processing) , engineering , economics , social science , statistics , mathematics , sociology , electrical engineering , operating system
The urban public transportation subsystem, that is, the electric vehicle public transportation system on the ground, is an important part of the urban transportation system, and its energy consumption is increasing. However, the research on the energy consumption structure of urban public transportation subsystems is not yet mature. From a development perspective, there is an urgent need to study the energy consumption of urban public transportation subsystems. On this basis, according to actual needs, a typical public transportation energy-saving technology quantified driver model for energy-saving benefits was established, data requirements and processing methods were clarified, and relevant case analysis was carried out, which not only provided intelligence for city managers to choose transportation stand by. It can effectively analyze the energy consumption of the driver during the driving of the vehicle, On the basis of cloud computing analysis combined with public transportation energy consumption system can provide effective data support.