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Towards intelligent public transport systems in Smart Cities; Collaborative decisions to be made.
- Source :
- Procedia Computer Science; 2022, Vol. 199, p1221-1228, 8p
- Publication Year :
- 2022
-
Abstract
- The global context of cooperative intelligent public transport systems (C-ITS) in Smart Cities calls for a solution that integrates the perspectives of the travelers, public administration, vehicle manufacturers and transport operators in the joint effort of standardization, interconnection and assimilation of emerging technologies to meet operational, safety and environmental objectives at metropolitan, national or international level. The article proposes a definition for the capabilities maturity levels of the mobility ecosystem, and functional architecture for the collaborative decision-making system for implementing the C-ITS in the future Smart Cities. The paper contributes to the literature and practice in four manners. The first one is enhancing the awareness and understanding of maturity capability model (CMM) for all the stakeholders throughout the mobility ecosystem, emphasizing the key capabilities required for each maturity level. The second way is manifested throughout public and private companies acting on the same territory in the mobility ecosystem assess the existing capabilities and collaborate for achieving a superior maturity level of mobility processes, stable and repeatable results. In addition, the third one, based on CMM, is that governments regulate, conduct and control, establishing a stable and mature processes institutionalization for C-ITS. Finally, the fourth practice is defining a C-ITS functional architecture for the future Smart Cities to support collaborative decision-making applied for public transport implementation in big Smart Cities with the final objective of increasing the citizen's quality of life. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18770509
- Volume :
- 199
- Database :
- Supplemental Index
- Journal :
- Procedia Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 155058235
- Full Text :
- https://doi.org/10.1016/j.procs.2022.01.155