Intelligent Transportation Systems
By G. Dimitrakopoulos, P. Demestichas. IEEE Vehicular Technology Magazine, 2010
619 citations recorded by the source corpus.
The increasing need for mobility has brought about significant changes in transportation infrastructures. Inefficiencies cause enormous losses of time, decrease in the level of safety for both vehicles and pedestrians, high pollution, degradation of quality of life, and huge waste of nonrenewable fossil energy.The scope of this article is to introduce novel functionality for providing knowledge to vehicles, thus jointly managing traffic and safety. This will be achieved through the design of the proposed functionality, which, at a high level, will comprise (1) sensor networks formed by vehicles of a certain vicinity that exchange traffic-related information, (2) cognitive management functionality placed inside the vehicles for inferring knowledge and experience, and (3) cognitive management functionality in the overall transportation infrastructure. The goal of the aforementioned three main components shall be to issue directives to the drivers and the overall transportation infrastructure valuable in context handling.
Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/dea1ebc9ea4675be7bf76d304f60feb53c044080
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In Electrical and Electronic Engineering
Citations in the corpus
- Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics (2017, background): “The enhancive requirement for fluidity has resulted in great changes in fundamental facilities in transportation [42].”