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网络表示和网络优化长期以来被用于解决很多工程和科学上的问题。这种应用最早可以追溯到哥尼斯堡七桥问题,然后延伸到各种各样的经典的P类问题和NP-难题,比如最小生成树、最短路及旅行商问题等.为了表述各种子系统之间的关联,在过去几十年里,不同层次的网络扩展被提出来,并对交通和经济这样的复杂系统进行了建模。这些网络扩展被称为超网络,它们可以用统一的方式来描述不同网络上不同选择维度。近年来,多状态的超网络被认为是一种很有潜力的方法来研究基于活动建模领域里的活动和出行行为。本文综述了这方面的研究进展,从最开始的经典交通网络到至今最高层次的一种超网络。这种最高层次的超网络能支持对出行路径和模式选择、活动和停车位置选择、ICT的使用,以及共同出行和活动的建模。
Network representation and network optimization have long been used to solve many engineering and scientific problems. This kind of application can be traced back to the Qixianqiao Bridge in Konigsberg and then extends to various classic P-type problems and NP-problems, such as the minimum spanning tree, the shortest-path and traveling salesman problem, etc. In order to describe the various seeds System Linkages In the past few decades, different levels of network expansion have been proposed and complex systems such as transportation and economics modeled. These network extensions are called hypernets, and they describe the different choice dimensions on different networks in a uniform way. In recent years, multi-state hyper-nets have been considered as a promising method to study activities and travel based on the field of activity modeling. This article summarizes the research progress in this field, from the beginning of the classic transport network to the highest level so far a super network. This top-level hypernetwork supports the selection of travel paths and modes, choice of activities and parking locations, use of ICTs, and modeling of common trips and activities.