Name
Abstract | ||
|---|---|---|
Road traffic is one of the main sources of greenhouse gas emissions, keeping in mind the fact that most of the cars have internal combustion engine. Due to the large number of cars, the pollution problem is a significant issue for any major city in the world. The importance of this work is to find ways to reduce pollution in a locality without affecting human lifestyle. Certainly, the number of cars involved in road traffic will be approximatively constant but controlling the flow of traffic to minimize the pollution in some specific areas by offering alternative routes is a way to reduce emissions. This is necessary because of the fact that the industry of electric cars building is not yet well developed to provide an alternative to fossil fuel-burning machines. The idea of controlling road traffic according to the number of vehicles is already present in the literature but this paper offers the possibility of testing the possible algorithms underlying road traffic control, namely algorithms based on the level of pollution at intersections in a locality. This paper also provides a solution to the fluidization of traffic, taking into account that an intersection or crowded streets in a locality involves a higher level of pollution than normal. This paper presents a simulation of road traffic management based on the measurement of greenhouse gases through a software application, a database and algorithms. An application has been obtained that illustrates part of a road infrastructure of a locality and how to manage road traffic according to greenhouse gas emissions. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICSTCC.2019.8886113 | 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC) |
Keywords | Field | DocType |
artificial intelligence algorithms,pollution,reduce greenhouse gases,traffic | Internal combustion engine,Locality,Road traffic control,Computer science,Greenhouse effect,Transport engineering,Pollution,Control engineering,Greedy algorithm,Software,Greenhouse gas | Conference |
ISSN | ISBN | Citations |
2372-1618 | 978-1-7281-0700-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adela Puscasiu | 1 | 0 | 0.68 |
| Alexandra Fanca | 2 | 0 | 0.68 |
| Dan-Ioan Gota | 3 | 0 | 0.68 |
| Honoriu Valean | 4 | 17 | 8.28 |