Microscopic modeling of multi-lane traffic is usually done by applyingheuristic lane changing rules, and often with unsatisfying results. Recently, acellular automaton model for two-lane traffic was able to overcome some ofthese problems and to produce a correct density inversion at densities somewhatbelow the maximum flow density. In this paper, we summarize differentapproaches to lane changing and their results, and propose a general scheme,according to which realistic lane changing rules can be developed. We test thisscheme by applying it to several different lane changing rules, which, in spiteof their differences, generate similar and realistic results. We thus concludethat, for producing realistic results, the logical structure of the lanechanging rules, as proposed here, is at least as important as the microscopicdetails of the rules.
展开▼
