Two-lane traffic rules for cellular automata: A systematic approach

Journal Article · Sat Aug 01 04:00:00 EDT 1998 · Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics

DOI:https://doi.org/10.1103/PhysRevE.58.1425· OSTI ID:639824

Nagel, K; Simon, P ^[1]; Wolf, D E ^[2]; Wagner, P ^[3]; Wagner, P ^[4]

---

1. Los Alamos National Laboratory, TSA-DO/SA Mail Stop M997, Los Alamos, New Mexico 87545 (United States)
2. Theoretische Physik, Gerhard-Mercator-Universitaet, 47048 Duisburg (Germany)
3. Zentrum fuer Paralleles Rechnen, Universitaet zu Koeln, 50923 Koeln (Germany)
4. Deutsches Zentrum fuer Luft- und Raumfahrt, Linder Hoehe, 51170 Koeln (Germany)

Microscopic modeling of multilane traffic is usually done by applying heuristic lane changing rules and often with unsatisfying results. Recently, a cellular automaton model for two-lane traffic was able to overcome some of these problems and to generate the density inversion found in many European countries at densities somewhat below the maximum flow density. In this paper we summarize different approaches to lane changing and their results and propose a general scheme, according to which realistic lane changing rules can be developed. We test this scheme by applying it to several different lane changing rules, which, in spite of their differences, generate similar and realistic results. We thus conclude that, for producing realistic results, the logical structure of the lane changing rules, as proposed here, is at least as important as the microscopic details of the rules. {copyright} {ital 1998} {ital The American Physical Society}

• OSTI ID: 639824
• Journal Information: Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, Journal Name: Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics Journal Issue: 2 Vol. 58; ISSN 1063-651X; ISSN PLEEE8
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
COMPUTERIZED CONTROL SYSTEMS
INTERACTIONS
TRAFFIC CONTROL
VELOCITY