Comparison of intelligent transportation systems based on biocybernetic vehicle control systems
| Autor: | Sergei Korjagin, Irina Lieberman, Pavel Klachek |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050210 logistics & transportation
Vehicular ad hoc network Computer science Distributed computing Interface (computing) 05 social sciences 0211 other engineering and technologies 02 engineering and technology Traffic intensity Control system 021105 building & construction 0502 economics and business Key (cryptography) Wireless sensor network Central element Intelligent transportation system |
| Zdroj: | Transportation Research Procedia. 50:355-362 |
| ISSN: | 2352-1465 |
| DOI: | 10.1016/j.trpro.2020.10.042 |
| Popis: | Prompt thinking and quick reaction in complex dynamically changing traffic situations are determinant factors of road accidents. A key part of modern and promising intelligent transportation systems (ITSs) can be represented by VANET vehicular ad hoc network and its equivalents, whose nodes are represented by vehicles with installed special communication modules and new-generation intelligent on-board control systems. A concept of VANET network development is presented, which is based on biocybernetic systems of vehicle control and can serve as a starting point for building conceptually new ITSs and allow solving the primary ITS task at a totally new level, which lies in obtaining optimal prompt decisions (when driving a vehicle) in a short period of time, during which neither human no automated system can make a safe decision. We consider the architecture and basics of creating an intelligent on-board information-and-control module of a vehicle, based on the integration of a biocybernetic human-machine interface and elements of VANET vehicular ad hoc network. We also consider the basics of creating a bank of mathematical models as a central element of the intelligent on-board information-and-control module. Based on the analysis of completed experiments, we can conclude that the use of biocybernetic approaches based on sensor networks and corresponding applied vehicle control systems helps solving crucial traffic safety issues, namely: obtaining optimal prompt decisions (when driving a vehicle) in a short period of time, which significantly improves traffic safety and increases traffic intensity. |
| Databáze: | OpenAIRE |
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