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Kazutoshi Sakakibara,Muneyoshi Iyama,Ikuko Nishikawa 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, we consider a class of pickup and delivery problems. The problem requires that any paired pickup and delivery locations have to be served by one vehicle and the pickup location has to be scheduled before the corresponding delivery location in the route. In order to find near-optimal transportation plans, we discuss a hybrid approach mixing branch-and bound techniques and meta-heuristics. The key idea is that an original problem is decomposed into a set of sub-problems, in which the number of customers assigned to each vehicle is fixed, and respective sub-problem is solved by meta-heuristics such as simulated annealing heuristics. Then, promising sub-problems are able to be found efficiently by using branch-and-bound techniques. The effectiveness and the potential of the proposed approach are evaluated by a series of computational experiments.
Multi-agent Simulation of Urban Transportation: Dependence on the Weather in Toyama City, Japan
Taiki Watanabe,Takeshi Oyama,Yu Nakayama,Yoshito Tobe,Kazutoshi Sakakibara 대한전자공학회 2020 IEIE Transactions on Smart Processing & Computing Vol.9 No.1
The problems in cities vary depending on many demographic conditions. In particular, Japan suffers from a decline in population, and that necessitates the redesign of people"s means of transportation in the cities. Simulation is desirable not only to identify the present status of people"s selection of their means of transportation, but is needed to predict how people change their selection of transportation if some infrastructure or new method is added. In this study, we use environment-dependent elements as parameters of the residents, and we investigate the changes in transportation methods depending on the weather. This simulation study shows that a change in the weather results in a change in the usage of transportation.