The Importance of Antipersistence for Traffic Jams
| Autor: | Lars Habel, Sebastian M. Krause, Thomas Guhr, Michael Schreckenberg |
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| Rok vydání: | 2017 |
| Předmět: |
Empirical data
Physics - Physics and Society Statistical Mechanics (cond-mat.stat-mech) Computer science JAMS General Physics and Astronomy FOS: Physical sciences Physics and Society (physics.soc-ph) Physik (inkl. Astronomie) Traffic flow 01 natural sciences 010305 fluids & plasmas Transport engineering Traffic congestion Physics - Data Analysis Statistics and Probability 0103 physical sciences Duration (project management) 010306 general physics Condensed Matter - Statistical Mechanics Data Analysis Statistics and Probability (physics.data-an) |
| DOI: | 10.48550/arxiv.1703.10497 |
| Popis: | Universal characteristics of road networks and traffic patterns can help to forecast and control traffic congestion. The antipersistence of traffic flow time series has been found for many data sets, but its relevance for congestion has been overseen. Based on empirical data from motorways in Germany, we study how antipersistence of traffic flow time-series impacts the duration of traffic congestion on a wide range of time scales. We find a large number of short lasting traffic jams, which implies a large risk for rear-end collisions. Comment: 6 pages, 8 figures |
| Databáze: | OpenAIRE |
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