Large-Scale Mobile-Based Analysis for National Travel Demand Modeling

Agent-Based Approach to Travel Demand Modeling Exploratory Analysis

although an integrated model is the final goal. Also, even with today’s computing power, an integrated model will inevitably require some strict assumptions that will reduce its application value to local specific problems. The classical way to forecast the results of such a complex choice process is to divide it into simpler subprocesses in a logical and tractable way. Models for these subproc...

Activity-based Modeling of Travel Demand

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...

A Bridge between Travel Demand Modeling and Activity-Based Travel Analysis

The focus of this paper is on the demonstration that some rather well-known networkbased formulations in operations research, that have heretofore largely gone unnoticed in activity-based travel research, offer a potentially powerful technique for advancing the general development of the activity-based modeling approach. These formulations can provide an analytical framework that unifies the co...

Random Utility-Based Discrete Choice Models for Travel Demand Analysis

A partition-based algorithm for clustering large-scale software systems

Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...