NTL Record

Title Parallel Traffic Micro-Simulation by Cellular Automata and Application for Large Scale Transportation Modeling
Record ID 81992
Personal Name
Creator
Nagel, Kai; Barrett, Christopher L.; Rickert, Marcus
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. Department of Transportation. Federal Highway Administration
Publication Date 19960106
Language English
Abstract A set of very simple driving rules for single lane roadway traffic gives surprisingly realistic results. This observation can be backed up by theory, showing relations both to fluid-dynamical models for traffic, and to control system approaches to driving. Extensions to multi-lane traffic are straightforward and work well. Because of its simplicity, it is easy to implement the model on supercomputers (vectorizing and parallel), where we have achieved real time limits of more than 4 million kilometers (or more than 53 million vehicle sec/sec). The model can be used for applications where both high simulation speed ad individual vehicle resolution are needed. We describe results of freeway network simulations of the German land Northrhine-Westfalia, where drivers have individual route plans which they adapt according to the delays they experience. Finally, we discuss the TRANSIMS microsimulation design, where such a simple high-speed microsimulation will be used s one microsimulation option.
Rosap ID dot:57245
Rosap URL https://rosap.ntl.bts.gov/view/dot/57245
TRT Terms Traffic simulation; Microsimulation; Traffic models; Cellular automata; Networks
Geographical
Coverage
United States
TRIS Online
Accession No
1782030
Resource type Tech Report
URL https://ntlrepository.blob.core.windows.net/lib/81000/81900/81992/laur9650.pdf
Format PDF
Database NTL Digital Repository