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7 report(s) found with traffic management in the keywords field
1 - 7 of 7
 

Traffic congestion mitigation is one of the key challenges that transportation planners and operations engineers face when planning for construction and maintenance activities. There is a wide variety of approaches and methods that address work zone impacts, starting with simple equations, over spreadsheets...

In intelligent transportation systems, most of the research work has focused on lane change assistant systems. No existing work considers minimizing the disruption of traffic flow by maximizing the number of lane changes while eliminating the collisions. In this thesis, we develop qualitative and quantitative...

Traffic Monitoring Stations are a component of the ATMS. TMS collect traffic volumes, speed and density from the Interstate system. These devices are located each one-half mile, on each lane, of the interstate system in the Salt Lake Valley. Presently UDOT does not collect or store this information....

Sophisticated microsimulation models, such as MITSIM, INTEGRATION and WATSIM are useful tools to test the potential impact of new ITS technologies, such as route diversion variable message signs, in-vehicle drive alarms, and weather sensitive speed advisory signs. Once implemented, the modeling should...

This research examines a range of incident detection technologies to determine a recommended combination of approaches for use in the Utah Department of Transportation (UDOT) Advanced Traffic Management System (ATMS). The technologies that were examined are computer-based Automatic Incident Detection...

Inclement Weather Signal Timings (Jul 2000, MPC-01-120)

This study examines signal timing in inclement weather conditions. With the completion of the Utah DOT's Advanced Traffic Management System (ATMS), UDOT will have the capability to change signal timing plans from a central location by communicating with each controller through fiber optic technology....

The overall objective of this project is to develop a prototype virtual machine that fits on current ATMS controllers and provides functionality for complex traffic operations. The virtual machine will be developed and tested using the popular controller: the Matrix Model 2070 ATMS Controller. The controller...

NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050
(701)231-7767ndsu.ugpti@ndsu.edu