Information has been noted to be the key to the formation of destination image. Destination marketers are aware of this fact and they aggressively try to influence the tourist’s decisions by altering the image of their destinations through information provision. During their trip planning, tourists usually engage themselves with active information search. Despite motives being the crux of trave...

Transportation origin-destination analysis is investigated through the use of Poisson mixtures by introducing covariate-based models which incorporate different transport modelling phases and also allow for direct probabilistic inference on link traffic based on Bayesian predictions. Emphasis is placed on the Poisson-inverse Gaussian model as an alternative to the commonly used Poisson-gamma an...

The study analyses the searches for digital tourist information that different types of tourists, with characteristics and connectivity preferences, make at destinations on main topics they may require, allowing to know which sources use, but also what moment in situation. was based an online survey asked users about made destination during their last trip. results show tourists increasingly se...

This paper studies the applicability of kalman filtering approaches for network wide traveler Origin Destination estimation from link traffic volumes. The paper evaluates the modeling assumptions of the Kalman filters and examines the implications of such assumptions. 1. Dynamic Origin Destination Tables Dynamic Origin-Destination (O-D) trip tables represent a time varying set of traffic demand...

Plug-in electric vehicles become more attractive with government incentives and policies. Tractable modeling techniques that can incorporate electric vehicles are critical for developing realistic and effective travel behaviors models. It is shown in this paper that the special features of electric vehicles and the limited charging infrastructures lead to different travel behavior of electric v...

This paper describes the problem of locating terminals using E.164 numbers, and the problem of selecting a suitable gateway for calls from an IP telephony network to the public switched telephone network (PSTN). Generally, these are the problems of mapping the name of a destination into an address, and to find the best route to the destination in a combined IP and PSTN network. Number portabili...

The purpose of multi-modal route planners is to provide the user with the optimal route between trip start and destination, where the route may utilize several transportation modes including public transportation. The optimal route is defined over a set of evaluation criteria considered by the user during the route selection process. Especially in the case of multi-modal transportation, numerou...

Trip distribution is the second important stage in the 4-step travel demand forecasting. The purpose of the trip distribution forecasting is to estimates the trip linkages or interactions between traffic zones for trip makers. The problem of trip distribution is of non-linear nature and Neural Networks (NN) are well suited for addressing the non-linear problems. This fact supports the use of ar...

In this paper, we investigate an on-demand, link-state, multi-path QoS (quality-of-service) routing protocol in a MANET, which is important for many real-time multimedia applications. The basic idea of the on-demand, link-state, multi-path routing protocol is to reactively collect link-state information from source to destination in order to dynamically construct a partial network topology whic...

Shared-ride trip planning is one potential field of application within the research domain of geosensor-networks. Such a system is envisioned to provide people in need of transportation (clients) and transportation providers (hosts) with an ad-hoc, peer-to-peer communication, positioning, and planning infrastructure within an urban environment. By doing this, shared-ride trip planning can contr...