| Issue |
EPL
Volume 118, Number 3, May 2017
|
|
|---|---|---|
| Article Number | 38005 | |
| Number of page(s) | 6 | |
| Section | Interdisciplinary Physics and Related Areas of Science and Technology | |
| DOI | https://doi.org/10.1209/0295-5075/118/38005 | |
| Published online | 14 July 2017 | |
The importance of antipersistence for traffic jams
Faculty of Physics, University of Duisburg-Essen - 47058 Duisburg, Germany
(a) sebastian.krause@uni-due.de
Received: 30 March 2017
Accepted: 26 June 2017
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.
PACS: 89.75.-k – Complex systems / 05.40.Jc – Brownian motion / 89.40.-a – Transportation
© EPLA, 2017
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