Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Traffic engineering (2)
- Congestion prediction (1)
- Data mining (1)
- Eulerian graph theory (1)
- Express highways--Maintenance and repair (1)
-
- Highway engineering (1)
- Highway planning (1)
- Kinematics—Models (1)
- Lagrangian functions (1)
- Maintenance--Costs (1)
- Nevada.--Department of Transportation (1)
- Regression analysis (1)
- Traffic accidents (1)
- Traffic accidents--Forecasting--Mathematical models (1)
- Traffic congestion (1)
- Traffic congestion – Prevention (1)
- Traffic fatalities (1)
- Traffic flow--Mathematical models (1)
- Traffic safety (1)
- Traffic – Computer simulation (1)
- Transportation engineering (1)
Articles 1 - 4 of 4
Full-Text Articles in Engineering
A Comparative Study: Utilizing Data Mining Techniques To Classify Traffic Congestion Status, Abbas Mirakhorli
A Comparative Study: Utilizing Data Mining Techniques To Classify Traffic Congestion Status, Abbas Mirakhorli
UNLV Theses, Dissertations, Professional Papers, and Capstones
Performance measure is a process of evaluating and quantifying a system. Performance measure provides us with information about how good a system is working and how well the predefined goals are met. In order to analyze the performance of a transportation system, the traffic data such as speed, volume, occupancy and travel time of the system need to be collected. These data will generate valuable historical database that can be used to develop models to improve the quality of service of transportation system. The performance measures in transportation studies can be categorized to following main groups: Congestion, Mobility, Accessibility, Reliability, …
Observability In Traffic Modeling: Eulerian And Lagrangian Coordinates, Sergio Contreras
Observability In Traffic Modeling: Eulerian And Lagrangian Coordinates, Sergio Contreras
UNLV Theses, Dissertations, Professional Papers, and Capstones
Traditionally, one of the ways traffic flow has been studied is by using the kinematic wave model. This model is studied in the Eulerian framework. Recently, the kinematic wave model has been transformed into Lagrangian coordinates. This model of traffic flow together with the concept of observability for linear time invariant discrete time systems is applied to study the observability of four sections of a freeway in both Eulerian and Lagrangian coordinates. A system with densities in four sections of a freeway is designed, and the observability of the system is studied with different situations for sensors. When the system …
Highway Routine Maintenance Cost Estimation For Nevada, Monika Hagood
Highway Routine Maintenance Cost Estimation For Nevada, Monika Hagood
UNLV Theses, Dissertations, Professional Papers, and Capstones
State highway agencies are obligated to maintain existing roads for the highway systems to work efficiently and with greater longevity. Every year NDOT is responsible for approximately 13,150 lane miles of existing infrastructure. With that in mind, resources need to be provided to maintain the highway system.
The purpose of this research was to estimate annual routine maintenance cost for several typical treatment methods of highways. Five prioritization categories of highways used by NDOT were considered. Linear regression models were developed that present the relationship between costs including total maintenance cost and five maintenance cost components: labor, equipment, materials, manpower …
Simultaneous Equation Modeling For Crash Rate Of Freeway Segments, Anthony Ramos
Simultaneous Equation Modeling For Crash Rate Of Freeway Segments, Anthony Ramos
UNLV Theses, Dissertations, Professional Papers, and Capstones
In 2010, the total number of reported traffic crashes in the state of Nevada was 51,664 of which 235 (0.6%) resulted in one or more deaths (Nevada Department of Transportation, 2012). The state's "Zero Fatalities" traffic safety campaign aims to reduce the rate even further. Out of the total number of crashes, Clark County (includes Las Vegas) accounted for 78.89%. This study examines safety improvement by developing advanced crash prediction models. The system of crash prediction equations consider geometric conditions and traffic volume using simultaneous equation modeling (SEM). The models are based on geometric characteristics and traffic volume data collected …