Two-lane traffic rules for cellular automata: A systematic approach
Conference
·
OSTI ID:291114
- Los Alamos National Lab., NM (United States)
- Forschungszentrum Juelich (Germany). Hoechstleistungsrechenzentrum HLRZ
- Univ. zu Koeln (Germany). Zentrum Fuer Paralleles Rechnen
Microscopic modeling of multi-lane traffic is usually done by applying heuristic lane changing rules, and often with unsatisfying results. Recently, a cellular automation model for two-lane traffic was able to overcome some of these problems and to produce a correct density inversion at densities somewhat below the maximum flow density. In this paper, the authors summarize different approaches to lane changing and their results, and propose a general scheme, according to which realistic lane changing rules can be developed. They test this scheme by applying it to several different lane changing rules, which, in spite of their differences, generate similar and realistic results. The authors 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.
- Research Organization:
- Los Alamos National Lab., NM (United States)
- Sponsoring Organization:
- Department of Transportation, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 291114
- Report Number(s):
- LA-UR--97-4706; CONF-9711161--; ON: DE99000635
- Country of Publication:
- United States
- Language:
- English
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