A Survey on Cloud-Based Intelligent Transportation System
| Autor: | Y. Khair, Youssef Elmir, A. Dennai |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Software as a service Cloud computing 02 engineering and technology Energy consumption Traffic flow Transport engineering Traffic congestion 020204 information systems Public transport 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Productivity Intelligent transportation system |
| Zdroj: | Artificial Intelligence and Renewables Towards an Energy Transition ISBN: 9783030638450 |
| DOI: | 10.1007/978-3-030-63846-7_53 |
| Popis: | Industrial development in the eighteenth century increased dependence on transportation, which led to the emergence of a group of traffic problems such as traffic congestion, increased travel time, as well as energy consumption, and these problems were solved by traditional methods, by creating new roads or expanding roads Existing congestion relief. However, the technological development that accompanied the twentieth century, in turn, provides a set of technologies to find appropriate solutions to these problems. Intelligent Transportation Systems (ITS) and Cloud computing are one of the most important computers and advanced communications technologies to control traffic flow to increase the productivity and safety of existing road infrastructure. The aim of this paper is to present promising solutions in the use of cloud computing for intelligent transportation systems to improve public transport results and discuss all aspects related to it (its concept, systems, and applications). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|