Data-Intensive Traffic Management: Real-Time Insights from the Traffic Management Simulation Test
| Autor: | Blinova Tatiana, Kumar Rakesh, Kansal Lavish, Bhandari Prabhakar, Guven Ugur, Prasanna Y. Lakshmi |
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| Jazyk: | English<br />French |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | BIO Web of Conferences, Vol 86, p 01089 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2117-4458 20248601 |
| DOI: | 10.1051/bioconf/20248601089 |
| Popis: | This research examined the effectiveness of data-intensive traffic management in urban settings using real-time insights from traffic management simulation experiments. The examination of data on traffic flow revealed a noteworthy decrease in congestion, with a 25% increase in traffic velocity during peak hours. Real-time information led to a 40% drop in the severity of traffic accidents and a 50% reduction in reaction times. Improved road safety was aided by a 30% decrease in accidents during inclement weather thanks to real-time weather data. To further optimize urban traffic flow, dynamic traffic management operations based on real-time information also resulted in a 20% reduction in congestion. These results highlight the revolutionary potential of data-intensive traffic management, offering safer and more effective urban transportation solutions by incorporating real-time information into traffic control plans. |
| Databáze: | Directory of Open Access Journals |
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