Recently, wormhole routers with multi-destination capability have been proposed to support fast multicast in a multi-computer network. To avoid communication deadlock, existing results have proposed to construct a Hamilton path, Euler path, trip, or their variants, in the network, perhaps with some degree of support of virtual channels 1, 14, 15, 18, 23]. In this paper, we identify that a netwo...

the conventional intervening opportunity model which is potentially a powerful analytical and probabilistic model, has been used in transportation planning to model trip distribution pattern. this model is basically suffering from two main limitations. these limitations are the assumptions that trip makers are fully aware of all available opportunities in the area and their trip lengths to all ...

Abstract In this paper, we propose a new spatial interaction model for trip-chaining behavior that consists of a sequence of movements. Particularly, including the origin-destination constraints, we generalize the traditional entropy maximizing model to deal with trip-chaining behaviors. Traditional entropy models should be noted in terms of a theoretical derivation of the gravity model and its...

there is always a meaning concealed behind functional aspects of any physical structure. this covert meaning is tranfered to the user or observer of the phenomena and forms his perception. studying the perception of the visitors towards the visited structure is considered useful in several research fields. in tourism context, visitors’ perception towards visited destination is obliged as a sign...

This paper addresses the relationship between land use and destination selection, and the question of destination selection on travel mode choice. Specifically, this work focuses on internalized trips, a sub-category of trip making where both trip origin and trip destination are contained in the same geographic unit of analysis. This investigation uses data from the 1994 Household Activity and ...

We propose new probabilistic models for the spatial distribution of supply and demand and use the models to determine how the trip length distribution is affected by the relative shortage or excess of supply, the spatial clustering of supply and demand, and the degree of attraction or repulsion between supply and demand at different spatial scales. The models have a multiplicative structure and...

BACKGROUND Few studies have used GPS data to analyze the relationship between Walk Score, transportation choice and walking. Additionally, the influence of Walk Score is understudied using trips rather than individuals as statistical units. The purpose of this study is to examine associations at the trip level between Walk Score, transportation mode choice, and walking among Paris adults who we...

Trip destination prediction is an area of increasing importance in many applications such as trip planning, autonomous driving and electric vehicles. Even though this problem could be naturally addressed online learning paradigm where data arriving a sequential fashion, the majority research has rather considered offline setting. In paper, we present unified framework for setting, which suitabl...