An Empirical Study for Green Transportation Scheme of Municipal Solid Waste Based on Complex Data Model Analysis

Solid waste management and air pollution are two pressing issues in the functioning of large cities. This paper studies the optimization problem of the green transportation route of municipal solid waste and establishes a mathematical planning model based on real-time traffic conditions of the city...

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Bibliographic Details
Published in:Mathematical problems in engineering 2021, Vol.2021, p.1-17
Main Authors: Xin, Chunlin, Wang, Lingjie, Liu, Bin, Yuan, Yu-Hsi, Tsai, Sang-Bing
Format: Article
Language:English
Subjects:
Air pollution
Big Data
Data processing
Decision support systems
Driving conditions
Emissions control
Empirical analysis
Energy consumption
Genetic algorithms
Load
Management information systems
Mathematical problems
Model testing
Municipal solid waste
Municipal waste management
Optimization
Real time
Roads & highways
Route optimization
Solid waste management
Traffic
Traffic models
Traffic planning
Traffic speed
Transfer stations
Transportation
Transportation planning
Vehicles
Windows (intervals)
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Summary:Solid waste management and air pollution are two pressing issues in the functioning of large cities. This paper studies the optimization problem of the green transportation route of municipal solid waste and establishes a mathematical planning model based on real-time traffic conditions of the city and consideration of a time window and multiple transfer stations with the goal of minimizing energy consumption. In the optimal green transportation process in this paper, comprehensive consideration of vehicle speed, vehicle load, road gradient, and driving distance in different road sections based on real-time traffic conditions is incorporated, which has a better fuel-saving potential than the shortest path. A green transportation program can alleviate the air pollution problem in big cities and promote energy conservation and emission reduction in solid waste transportation.
ISSN:1024-123X
1563-5147
DOI:10.1155/2021/6614312