Data mining, which is the process of nding useful patterns in large collections of data, is emerging as an important area of research that has been successfully applied to many domains. This research develops an application of data mining techniques to data collected for intelligent transportation systems (ITS). In order to identify a set of primitives for mining over ITS data, an implementatio...

Transfer pattern routing is a state-of-the-art speed-up technique for finding optimal paths which minimize multiple cost criteria in public transportation networks. It precomputes sequences of transfer stations along optimal paths. At query time, the optimal paths are searched among the stored transfer patterns, which allows for very fast response times even on very large networks. On the other...

In this paper, we propose to measure the extent of the influence of transportation systems on land use change. Using a set of high-resolution land use data for the Twin Cities metropolitan region, we estimate logistic regression models of land use change covering a 10-year period from 1990 to 2000. The models account for existing land use types, neighboring land uses, and transportation network...

The Maryland-Washington, DC region has been experiencing significant land-use changes and changes in local and regional travel patterns due to increasing growth and sprawl. The region’s highway and transit networks regularly experience severe congestion levels. Before proceeding with plans to build new transportation infrastructure to address this expanding demand for travel, a critical questio...

Traffic prediction systems can play an essential role in intelligent transportation systems (ITS). Prediction and patterns comprehensibility of traffic characteristic parameters such as average speed, flow, and travel time could be beneficiary both in advanced traveler information systems (ATIS) and in ITS traffic control systems. However, due to their complex nonlinear patterns, these systems ...

PROBLEM/CONDITION Physical activity is a health-enhancing behavior, and most U.S. adults do not meet the 2008 Physical Activity Guidelines for Americans. Active transportation, such as by walking or bicycling, is one way that persons can be physically active. No comprehensive, multiyear assessments of active transportation surveillance in the United States have been conducted. PERIOD COVERED ...

OBJECTIVE Child restraint system (CRS) is designed to protect children from injury during motor vehicle crash (MVC). However, there is no regulation or enforcement of CRS use in Saudi Arabia. This study estimated the prevalence of CRS use and identified patterns of child transportation in Riyadh, Saudi Arabia. METHODS In this cross-sectional study, a self-administered questionnaire was distri...

Energy shortage and atmospheric pollution problems are getting more serious in China, and transportation is the main source of energy consumption, pollutants, and carbon emissions. This study combined the activity-based analysis method with emission models, and investigated the influence mechanism of people’s activity travel scheduling on transportation energy consumption and emissions on holid...

A transit ridership study is an essential part of sustainability, and can provide a deep understanding of people’s travel patterns for efficient transportation development and urbanization. However, there is a lack of empirical studies comparing subway and taxi services, and their interactions within a city, that is to say, the interdependent transportation networks. Incorporating new data, thi...

In the near future, vehicles, travelers, and the transportation infrastructure will collectively have millions of sensors that can communicate with each other. This environment will enable numerous new applications and dramatic improvements in the performance of existing applications. Due to their distributed and mobile nature, future transportation systems may become the ultimate testbed for a...