Podrobná bibliografie
| Název: |
PERSPECTIVES OF MULTIFUNCTIONAL INTEGRATED SUBURBAN-URBAN RAIL TRANSPORT DEVELOPMENT. |
| Autoři: |
KAGRAMANIAN, Artur, AULIN, Dmitriy, TRUBCHANINOVA, Karyna, CABAN, Jacek, VORONIN, Anatoly, BASOV, Alexsandr |
| Zdroj: |
Scientific Journal of Silesian University of Technology. Series Transport / Zeszyty Naukowe Politechniki Slaskiej. Seria Transport; 2023, Vol. 120, p105-115, 11p |
| Témata: |
PASSENGER traffic, CITY traffic, ROLLING stock |
| Abstrakt: |
Main requirements for rolling stock design and organization of the operating system are determined by membership in a certain transportation category for which such a transportation facility is designated. Thus, a specific feature of rolling stock operation is considered to the maximum extent, and functional correspondence with stated tasks is ensured. The significant disadvantage of the existing structure of rolling stock traffic is the necessity of time-space agreements of passenger traffic due to the necessity of shifting different transport types with the minimum time consumption. The solution to such an issue can be found in the development and use of a universal (multifunctional) integrated transport system. The list of issues arising during the creation of a multifunctional transport system can be funnelled into two groups: social and economic and organizational and technical. The first group is social and economic and shall conceptually solve issues of the multifunctional system feasibility for certain urban settlement conditions (conglomerate of urban settlements). The second group consists of organizational and technical issues. This study proposes to eliminate certain material issues in the sphere of suburban and urban traffic by the infrastructure improvement with the significant traffic increase and fluctuations. [ABSTRACT FROM AUTHOR] |
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Copyright of Scientific Journal of Silesian University of Technology. Series Transport / Zeszyty Naukowe Politechniki Slaskiej. Seria Transport is the property of Silesian University of Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáze: |
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