| Title | Traffic Jam Dynamics in Stochastic Cellular Automata |
|---|---|
| Record ID | 82003 |
| Personal Name Creator |
Nagel, Kai; Schreckenberg, Michael |
| Corporate Creator | Los Alamos National Laboratory |
| Corporate Contributor |
United States. Federal Highway Administration; United States. Department of Transportation. Bureau of Transportation Statistics; United States. Federal Transit Administration; United States. Environmental Protection Agency; Travel Model Improvement Program (U.S.) |
| Publisher | United States. Federal Highway Administration |
| Publication Date | 19950901 |
| Language | English |
| Abstract | Simple models for particles hopping on a grid (cellular automata) are used to simulate (single lane) traffic flow. Despite their simplicity, these models are astonishingly realistic in reproducing start-stop-waves and realistic fundamental diagrams. One can use these models to investigate traffic phenomena near maximum flow. A so-called phase transition at average maximum flow is visible in the life-times of jams. The resulting dynamic picture is consistent with recent fluid-dynamical results by Kuehne/Kerner/Konhaeuser, and with Treiterer`s hysteresis description. This places CA models between car-following models and fluid-dynamical models for traffic flow. CA models are tested in projects in Los Alamos (USA) and in NRW (Germany) for large scale microsimulations of network traffic. |
| Rosap ID | dot:57255 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/57255 |
| TRT Terms | Traffic flow; Mathematical models; Cellular automata; Traffic congestion |
| Geographical Coverage |
United States |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/82000/82000/82003/laur952132.pdf |
| Format | |
| Database | NTL Digital Repository |