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Welcome to my web site. My goal is to provide useful information and tools related to classes that I taught at the University of Minnesota Duluth (UMD). It is also my goal to provide useful data and software tools for transportation researchers and practitioners. For UMD students who are taking my classes, please click on the top left box of the table labeled
Course Info... to find homework assignments, labs, projects, exam results, etc. If you are one of the transportation researchers or engineers who are looking for traffic or RWIS data, below you may find some useful resources. Thanks for the visit. Prof. Taek Kwon
 TMC Traffic Data-Archive Download Site. The data in this archive are continuously collected by
the Traffic Management Center (TMC), a division of Mn/DOT, at a 30-second interval from over
4,500 loop detectors located around the Twin Cities Metro freeways, seven days a week
and all year round. The collected data are then daily packaged into a single zip
file and loaded into the UMD ftp server from TMC. The file format follows ...
more
Mn/DOT R/WIS Data-Archive Download Site. The data in this archive are continuously collected by
the Mn/DOT's Maintenance Office at a 10-minute interval from the Mn/DOT's statewide R/WIS, seven days a week
and all year round. The collected data are then daily packaged into a single zip archive
file and loaded to the UMD ftp server by UMD TDRL. The file format follows ...
more
TDA Data Automation Project. The Minnesota Department of Transportation (Mn/DOT) has
been responsible for collecting, analyzing, and publishing traffic count data
from the various roadway systems throughout the state. The traffic reporting
system mainly developed by the Traffic Forecasting and Analysis Section (TFAS)
of Mn/DOT has been used in several federal programs, internal Mn/DOT
applications, and many private sectors. The objective of this project is to continue the TFAS?automation efforts
by computerized integration of the current manual effort to import, filter, and
analyze the TMC portion of traffic data contributed to the Mn/DOT’s Traffic
Monitoring System. The resulting system will allow users to specify the
conditions for acceptance tests required by TFAS for both continuous and
short-duration count volume data. Once the filtering procedures and parameters
are set by an operator, the raw data can be automatically processed by the
system without human intervention. ...
more
Mn/DOT Weigh-in-Motion (WIM) Data Archive . The data in this archive are raw vehicle records in csv format and TMG-2001 formatted reporting data.
Unified Transporation Sensor Data Format (UTSDF). Today's transportation systems utilize a large number of various types of transportation sensors. Unfortunately, no uniform data format that is compact, efficient, and can handle a wide range of transportation sensors for archiving and sharing, exists to date. UTSDF has been developed by TDRL to eatablish a simple and yet efficient data format for archiving and sharing all types of data collected from today's transportation sensors. With UTSDF, you will only need to learn one type of data format for archiving and using all types of transportation sensor data. UTSDF is portable between any operating systems or programming laguanges, since its format utilizes ASCII strings and standard zip compression. TDRL is presently in the process of converting all of its archived tranportation data to UTSDF. TDRL will continue to develop and share archived data based on the analysis and archiving tools of UTSDF that have been developed. UTSDF Intro pdf file.
Solar/Wind Hybrid Renewable Street Light
Lack of easily accessible power source and/or the high cost of brining electric utility to remote rural areas made deployment of rural ITS technologies economically not justifiable to many remote rural roads. For example, the cost of bringing a utility power line to a rural intersection is approximately $3 per foot in Minnesota. This would lead to an initial investment of $316,800 to just bring in the electric power for the locations where they are 20 miles away from a power distribution center. Such a high cost is rarely justifiable for most rural ITS applications.
To address this problem, Prof. Taek Kwon at UMD recently developed a solar/wind integrarated hybrid renewable light pole technology for rural ITS applications. This light pole could power other ITS applications without the concerns of power line installation or monthly utility bills.
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Twin Cities' Freeway Travel Time Data for Last 14 Years
With the availability of metro freeway loop data (volume and occupancy) for last fourteen years at TDRL, the research team at TDRL took a role in generating the travel time data of the Twin Cities’ freeway network for last fourteen years. The objective of this link is to pass the computed travel time data to the Access to Destinations study team as one of the inputs for the study. The main challenge in computing travel times was using the data that contains missing values as much as 45 percent in some years. The basic approach employed in this research was imputation based on spatial and temporal inferences. Spatial imputation refers to replacing missing values based on spatial inferences, e.g., choosing values based on trends in relation to the neighboring stations; temporal imputation refers to utilization of temporal trends that exist within traffic data, such as morning/afternoon peak hours or weekday trends. The implementation details of these imputation methods and the travel time computation method are described in the report within the following link.
download link
Disclaimer: The views and opinions expressed
in this page are strictly those of the page author. The contents of this page
have not been reviewed or approved by the University of Minnesota.
All spelling errors in my web pages are due to the
line noise (huh?).
Your comments are highly valued. Send me an email at
tkwon@d.umn.edu
My other contact information: Voice: 218-726-8211, Fax: 218-726-7267
Mailing Address: Dr. Taek Mu Kwon, University of Minnesota Duluth, Department of
Electrical and Computer Engineering, 271 MWAH, 10 University Drive, Duluth, MN, 55812.
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