Abstract

The ACP (Artificial Societies, Computational Experiments, and Parallel Execution) approach has provided us with an opportunity to look into new methods in addressing transportation problems from new perspectives. In this chapter we present our works and results of applying the ACP approach in modeling and analyzing transportation systems, especially carrying out computational experiments based on artificial transportation systems. Two aspects in the modeling process are analyzed. The first is growing an artificial transportation system from bottom up using agent-based technologies. The second is modeling environmental impacts on a simple-is-consistent principle. Then the implementation architecture based on cloud computing is introduced. Finally, three computational experiments are carried out on one specific ATS, Jinan ATS, and numerical results are presented to illustrate the applications of our method.

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