Information impact on transportation systems
| Autor: | Sorina Costache Litescu, Heiko Aydt, Michael Lees, Alois Knoll, Vaisagh Viswanathan |
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| Přispěvatelé: | Computational Science Lab (IVI, FNWI) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
General Computer Science
Modelling and simulation Computer science Information Dissemination Computer security computer.software_genre Theoretical Computer Science Transport engineering Navigational instrument Traffic Network performance Real-time data RP 5 CLUSTER B TUM CREATE Service Interface for Real Time Information Agent-based model Information dissemination Information control Transportation systems Human complex systems ddc Management information systems Traffic congestion Modeling and Simulation Agent based simulation computer Computer Science(all) |
| Zdroj: | Journal of Computational Science, 9, 88-93. Elsevier |
| ISSN: | 1877-7503 |
| Popis: | With a broader distribution of personal smart devices and with an increasing availability of advanced navigation tools, more drivers can have access to real time information regarding the traffic situation. Our research focuses on determining how using the real time information about a transportation system could influence the system itself. We developed an agent based model to simulate the effect of drivers using real time information to avoid traffic congestion. Experiments reveal that the system's performance is influenced by the number of participants that have access to real time information. We also discover that, in certain circumstances, the system performance when all participants have information is no different from, and perhaps even worse than, when no participant has access to information. |
| Databáze: | OpenAIRE |
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