| Title |
Dynamic Public Transport in Smart City using Multi-agent system |
| ID_Doc |
45118 |
| Authors |
Horazdovsky, P; Kozhevnikov, S; Svítek, M |
| Title |
Dynamic Public Transport in Smart City using Multi-agent system |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/scsp.2019.8805716 |
| Abstract |
Smart City is now widely discussed and applied to all disciplines where Public transport is one of them. The aim of this paper is to define dynamic public transport in Smart City and describe transport organisation using multi-agent systems based on different data sources. Input parameters from the sensor network represent on-line demand for public transport. The better understanding of the demand for public transport the better offer can public transport operator provide to citizens. The more satisfied costumers the more attractive will be the public transport in the city. The dynamic public transport offer is computed by multi-agent system that continuously process all available on-line data and propose dynamic routes and time-schedules of different public transport means (small buses, etc.). |
| Author Keywords |
Public transport; Smart City; Dynamic service; Big Data; Multi-agent systems |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000519240800005 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Urban Studies |
| Research Area |
Computer Science; Urban Studies |
| PDF |
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