The cumulative probability distribution of sparseness time interval in the Internet is studied by the method of data analysis. Round-trip time between a local host and a destination host through ten odd routers is measured using the ping command, i.e., doing an echo experiment. The data are found to be well described by q-exponential distributions, which maximize the Tsallis entropy indexed by ...

Vehicular networking is an emerging area of interest in the wireless networking community as well as in the transportation research community. Vehicular ad hoc networks (vanet) are distributed, self-organizing communication networks which progressed from traveling vehicles, and are thus characterized by very high speeds and limited degrees of freedom in node (vehicle) movement patterns. Differe...

The cumulative probability distribution of sparseness time interval in the Internet is studied by the method of data analysis. Round-trip time between a local host and a destination host through ten odd routers is measured using the Ping Command, i.e., doing echo experiment. It is found that the data are well described by the q-exponential distributions, which maximize the Tsallis entropy index...

This work is part of an ongoing effort to understand the dynamics of passenger loads in modern, multimodal transportation networks (TNs) and to mitigate the impact of perturbations. The challenge is that the percentage of passengers at any given point of the TN that have a certain destination, i.e. their distribution over different trip profiles, is unknown. We introduce a stochastic hybrid aut...

Dynamic traffic assignment models have been attracting increasing attention with the progress of traffic management policies based on information technology. These dynamic estimation tools, however, just apply static route choice models either at only origin node or at every arrival node. This paper aims at providing some knowledge on drivers’ dynamic route choice behavior using probe-vehicle d...

The aim of this paper is to provide a detailed description of a framework for the estimation of time-sliced origin-destination (OD) trip matrices in a transit network using counts and travel time data of Bluetooth Smartphone devices carried by passengers at equipped transit-stops. A Kalman filtering formulation defined by the authors has been included in the application. The definition of the i...

On-line journey planners encourage the use of public transport systems by easing the task of finding “optimal” routes between start and destination locations. Most of the tools lack the flexibility of comparing journeys that end at different (but maybe nearby) destinations. In this paper, we propose a novel visualization tool for public transport journey planning that integrates graph layout te...

Anycasting becomes an important research topic recently especially for the replicated servers where availability and fault-tolerance are critical for quality of service. With anycasting, applications can request the “nearest” server for provision of a desired services. In this paper, we study efficient Admission Control for Anycast (ACA) flows. We focus on algorithms that perform smart destinat...

The rapid development of technologies introduces smartness to all organisations and communities. The Smart Tourism Destinations (STD) concept emerges from the development of Smart Cities. With technology being embedded on all organisations and entities, destinations will exploit synergies between ubiquitous sensing technology and their social components to support the enrichment of tourist expe...

This paper discusses the role of parameters negotiated and used for ow control in the ATM ABR service, and gives guidelines for setting each parameter. The e ect of the speed of the links on the path from the source to the destination, and the round trip time of the connection, on the ABR parameter values is discussed. We also give simulation results to illustrate the e ect of various parameter...