Accurate calibration of demand and supply simulators within a Dynamic Traffic Assignment (DTA) system is critical for the provision of consistent travel information and efficient traffic management. Emerging traffic surveillance devices such as Automatic Vehicle Identification (AVI) technology provide a rich source of disaggregate traffic data. This thesis presents a methodology for calibration...

The tendency to use Bluetooth Technology (BT) for travel time estimation is increasing due to growing number of Bluetooth-enabled devices among road users, anonymity of BT detections, flexibility of deployment and maintenance of Bluetooth sensors etc. Although Bluetooth has been demonstrated as a promising technology, there remain problems which affect the accuracy of the estimation such as dif...

One notable issue to deal with when capturing the individualism of travel behaviors is the gender difference. An extensive body of research has widely acknowledged that women and men exhibit quite different travel and activity patterns. For example, findings have suggested that women tend to invest more time to family-sustaining activities and that women make more family-sustaining trips yet fe...

Equilibration of travel demand and system performance has traditionally been considered an important problem, primarily for auto travel, and only secondarily for bus travel. Initially, "capacity-constrained traffic assignments" were predominant. These algorithms were invariably restricted to auto mode, provided no information on convergence, and suffered from other shortcomings (Ruiter, 1973). ...

Using road GIS (geographical information systems) data and travel demand data for two U.S. urban areas, the dynamical driver sources of each road segment were located. A method to target road clusters closely related to urban traffic congestion was then developed to improve road network efficiency. The targeted road clusters show different spatial distributions at different times of a day, indi...

In this paper, we are interested in routing vehicles to minimize unmet demand under uncertainty. Such a problem arises in situations with large demand or tight deadlines, so that routes that satisfy all demand points are difficult or impossible to obtain. An important application is the distribution of medical supplies to respond to large-scale emergencies, such as natural disasters or terroris...

Understanding the public transportation users’ preferences to long-distance travel modes would contribute to reasonable developing policies and resource allocation. This paper aims to explore the influencing mechanism of potential factors on the long-distance travel mode choice. A survey was conducted to collect the data. The analysis of variance (ANOVA) approach was applied to analyze the corr...

  This paper aimed at estimation of the per capita consumption of electricity in residential sector based on economic indicators in Iran. The Genetic Algorithm Electricity Demand Model (GAEDM) was developed based on the past data using the genetic algorithm approach (GAA). The economic indicators used during the model development include: gross domestic product (GDP) in terms of per capita and ...

The recent policy discussions about information technology in transport and trafficdemand management have increased the interest in activity-based approaches to the analysis oftravel behaviour, in particular in the modelling of household activity scheduling which is at thecore of many of the required changes in travel behaviour. The paper is a state-of-the-art reviewof conceptua...