Due to population growth in urban areas, especially in the capital cities in developing countries, the use of private vehicles are increasing, leading to many problems such as congestion, pollution, noise, long travel time, high travel cost and more side effects. In such circumstances government policy would encourage people to use public transportation. In the meantime, employing the Intellige...

The distributed nature of complex stochastic systems, such as traffic networks, can be suitably represented by multi-agent architecture. Centralised data processing and mining methods experience difficulties when data sources are geographically distributed and transmission is expensive or not feasible. It is also known from practice that most drivers rely primarily on their own experience (hist...

A supernetwork is usually defined as an augmented network that consists of a “basic network” for route choice and a “virtual network” for other travel choices. Supernetwork representations are useful pedagogical device to interpret various combined travel choice models as an extension of the fixed demand traffic assignment problem. Based on three proposed criteria, this paper reviews current su...

The estimation of an origin-destination (O-D) trip matrix from observed link flow is an essential part of the 4-step transport planning process. Conventional methods for estimating O-D trip matrices usually consider the fluctuation of link flows observed from loop counts as an error term that can be ignored, resulting in a significant loss of information. This work, instead, explicitly consider...

In this paper some experimental sequential models for the simulation of trip-chains are presented; the models have been calibrated on the base of a survey made in a medium-sized town. This work is part of a research, effected by the Department of Regional Planning of the University of Calabria, to forecast travel demand and to analyse travel behaviour of the transport system users. (Festa et al...

Since the beginning of civilization, the viability and economic success of communities have been, to a major extent, determined by the efficiency of the transportation infrastructure. To make informed transportation infrastructure planning decisions, planners and engineers have to be able to forecast the response of transportation demand to changes in the attributes of the transportation system...

Stated simply, the motivation for activity based travel demand modeling is that travel decisions are activity based. Concerns about congestion, emissions and land use patterns have lead governments to consider policies aimed to aaect travel decisions. Examples of policies include employer based commute programs, single occupant vehicle regulation, road pricing, multimodal facilities and transit...

an understanding of patient mobility, international patients and medical tourism includes supply and demand side considerations. as well as micro-level reports of motivation and satisfaction we must acknowledge broader system-level dynamics. exploring these may unearth more complex geographies of patient travel.

It is a truism that the transportation system is a critical component of every urban economy, and that transportation policy decisions can have a profound effect on the development of the urban system. Public transportation projects are often massive and mutually exclusive, with irreversible cumulative effects over long periods. If major social losses are to be avoided, careful planning based o...