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セルラオートマトンを用いた高速道路の渋滞緩和に関する基礎的研究 Basic study on expressway congestion mitigation using cellular automata 50196101 Sakamoto, Makoto 坂本, 眞人 サカモト, マコト Sakamoto 坂本 サカモト Makoto 眞人 マコト 牟田, 直輝 ムタ, ナオキ Muta, Naoki cellular automaton comlex system expressway Kakuto Tunnel traffic congestion In recent years, traffic congestion is a social problem in Japan. The annual congestion loss time in Japan is about 3.8 billion hours, and the economic loss amount is about 12 trillion yen. In particular, on expressways that aim for smooth traffic flow, traffic congestion causes enormous time loss and economic loss. Furthermore, since the exhaust gas from automobiles causes environmental problems and reduces the efficiency of distribution, it is essential to take measures to eliminate and alleviate traffic congestion. By the way, recently, with the improvement of computer functions, research on elimination/mitigation of traffic congestion by traffic simulation has been conducted. In other words, traffic simulation can reproduce and evaluate traffic phenomena that occur on the road on a computer. On the other hand, there is a long tunnel called the Kakuto Tunnel between the Ebino IC on the and the Hitoyoshi Kuma Smart IC on the Kyushu Expressway. Congestion frequently occurs in the Kakuto Tunnel due to lack of traffic capacity. In this paper, we focus on the Kakuto Tunnel as an example and perform traffic simulation. We will create a simple traffic simulator using a cellular automaton model as a complex system model, which is a simple model and has a feature of low computational complexity, and examine whether increasing lanes is an effective method for alleviating traffic congestion. 宮崎大学工学部 Faculty of Engineering, University of Miyazaki 2021-09-28 jpn departmental bulletin paper VoR http://hdl.handle.net/10458/00010295 https://miyazaki-u.repo.nii.ac.jp/records/6436 AA00732558 05404924 宮崎大学工学部紀要 Memoirs of Faculty of Engineering, University of Miyazaki 50 239 242 https://miyazaki-u.repo.nii.ac.jp/record/6436/files/Engineering_50_p239-p242.pdf application/pdf 1.2 MB 2021-11-04