Projects
Complete Assessing Passenger Car Equivalency Factors for High Truck Percentages
Complete Performance of Advance Warning Systems in a Coordinated System
Complete In-Vehicle Evaluation of Milled Rumble Strips at Pre- and Post-Chip Sealed Maintenance Periods
Complete Mid-America Transportation Center (MATC) U.S.D.O.T. Region VII University Transportation Center
The theme of MATC is improving safety and minimizing risk associated with increasing multi-modal freight movements. The center develops and delivers premier programs in research, education, and technology transfer in all Region VII states and nationally. Partner institutions include Kansas State University, University of Kansas, Missouri Institute of Science and Technology, University of Iowa, and Lincoln University (Missouri).
Complete Speed Limit Recommendation in Vicinity of Signalized, High-Speed Intersections
Complete Nebraska Transportation Center Seed Funding
The Nebraska Transportation Center (NTC) combines the transportation related research, education, and technology transfer programs on all four University of Nebraska campuses. The University of Nebraska Board of Regents approved the NTC Charter Statement in April 2006. These funds provide seed funding for the center.
Complete Transportation Curriculum Development
Complete ARRA: National Clean Diesel Funding Assistance Program Region 7 (1)
Complete NDOR Speed Limit Recommendation in Vicinity of Signalized High-Speed Intersection
Complete Evaluation of Nebraska Department of Road Advanced Warning Systems
Complete Video Detection Equipment
Complete Region VII- Diesel Emissions and Idle Reduction Retrofit Program
This project coordinates with truck fleets, owner/operators, and major manufacturers to retrofit EPA verified idle reduction equipment to existing trucks in US EPA Region 7. The project proposes to retrofit approximately 190 trucks currently in service, decreasing the amount of pollutants they release and decreasing the amount of fuel they consume.
Complete NDOR Optimal Design of Workzone Crossovers
The use of traffic micro-simulation models in traffic operations, transportation design, and transportation planning has become widespread across the United States because of: 1) rapidly increasing computer power which is required for complex micro-simulations, 2) the development of sophisticated traffic micro-simulation tools, and 3) the need by transportation engineers to solve complex problems which do not lend themselves to traditional analysis techniques.
Complete Acceleration Ramps Along High Speed Multi-Lane Roadways
Guidelines for the design of acceleration ramps merging with high speed through traffic on multi-lane roadways is over thirty years old. Safe and successful merging with such traffic is heavily dependent on driver expectation, lane geometry and a small speed differential between through and merging vehicles. There is anecdotal evidence that traffic operations at capacity conditions may be significantly different between the tapered and parallel acceleration lane design types. Reportedly, when conditions are at or near capacity at on-ramps, a tapered on-ramp tends to back up vehicles on the mainline (through roadway) while a parallel ramp tends to queue vehicles on the on-ramp lane, which is a more desirable situation from a safety standpoint. Large volumes of heavy vehicles also have an adverse effect on the safety and operational efficiency of acceleration lanes.
Complete Non-Intrusive Detector Study
The main objective of this project is to investigate the accuracy, reliability, cost, and user-friendliness of various non-intrusive detectors of Nebraska conditions. A variety of traffic parameters will be examined and realistic accuracy specifications will be developed based on both laboratory and field tests for variety of climatic and environment conditions. It is envisioned that a permanent test site (s) will be developed in Nebraska that can be used to compare new technologies with current technologies as they are developed.
Complete ITS Travel Time
The main objective of this project is to investigate the accuracy, reliability, cost, and user friendliness of various travel time estimation and forecasting techniques for Nebraska conditions. The study will focus on the non-intrusive detection equipment contemplated for deployment in Nebraska. A variety of algorithms/ techniques will be examined and empirical accuracy specifications will be developed based on both laboratory and field tests for a variety of climatic and environmental conditions. While it is anticipated that this research will focus on information from point detectors the potential for adopting other techniques, including automatic vehicle location (AVL) and Global Positioning Systems, will also be studied.
Complete Quantifying the Effectiveness of Mobile Emission Reduction Technologies for Small Fleet Carriers
The goal of the research in this proposal is to quantitatively demonstrate how stationary idle reduction technologies reduce emissions in idling trucks. The focus is on a long term study of long haul truckers who operate in a wide variety of climates. Approximately 15 tractors used in the long haul trade will be tracked for 2 years and data on miles traveled, travel time, idle time, idle percentage, miles per gallon, short-term idling duration (0-15 minutes), mid-term idling duration (16 to 90 minutes), long-term idling duration (91+ minutes), the reasons for idling, and gallons of fuel consumed during each idling period will be analyzed.
Complete Garrett A. Morgan Technology and Transportation Education Program (GAMTTEP)
This program brings middle and high school teachers to the UNL campus where they learn about transportation engineering research. This project is complementary to the CCPE project with an emphasis on bringing middle and high school students to campus to participate.
Complete Evaluation of NDOR Advanced Warning System
This project will identify the effectiveness of the current advanced warning devices in Nebraska in terms of safety and traffic operations efficiency. Using this information as input a modeling system will be developed so that NDOR engineers can perform consistent, detailed analyses of when these systems should be implemented and when they should be removed (if operating conditions change).
Complete Needs Assessment of Intelligent At-Grade Railroad Crossings
This project examines the requirements of various stakeholder (e.g. EMS, school districts, cities, etc.) for real-time information from Intelligent Railway Grade Crossing Systems.
Complete NDOR Evaluation of NDOR's Advanced Warning System
In Nebraska, the benefits of advanced warning signs at isolated intersections have been generally acknowledged by the traveling public and the staff of the Nebraska Department of Roads. However, there has not been a well-documented analysis of their effectiveness and under which conditions they are most effective. In addition, there are currently no standards on when these devices should be installed and more importantly when they should be removed because of changing demand. The project will identify the effectiveness of the current advanced warning devices in Nebraska in terms of safety and traffic operations efficiency. Using this information as input, a modeling system will be developed so that NDOR engineers can perform consistent, detailed analyses of when these systems should be implemented and when they should be removed (if operating conditions change).
Complete National Science Foundation Graduate Research Fellowship
Complete NDOR Development of a State of the Art Traffic Micro-Simulation Model for Nebraska
The use of traffic micro-simulation models in traffic operations, transportation design, and transportation planning has become widespread across the United States because of: 1) rapidly increasing computer power which is required for complex micro-simulations, 2) the development of sophisticated traffic micro-simulation tools, and 3) the need by transportation engineers to solve complex problems which do not lend themselves to traditional analysis techniques. Because of the wide variety of end-users, traffic micro-simulation models are often built and calibrated for specific applications. They are rarely updated as new information (such as ITS data) becomes available and are often developed in isolation - consequently their use for a wide-range of applications can often be limited.
Complete Professional Development Science and Math Summer Technology Institute
This program brings middle and high school teachers to the UNL campus where they learn about transportation engineering research. They subsequently develop multi-media resources for their classes based on this research. The long-term goal is to increase student performance in core academic content areas of math and science as measured by the state standards in math and science through the use of multimedia tools applied in core curriculum content areas, particularly math, science, and social studies.
Complete Intelligent Grade Crossings: Development of Fixed and Portable Signal Preemption Systems for Controlling Highway Traffic at Grade Crossings
The goals of this project are to develop permanent and portable test bed systems for intelligent signal preemption that are consistent with standards for the operation of at-grade, highway-rail intersections. Trains will be detected using 2nd generation video and radar technologies and their arrival at downstream highway-railway intersections will be forecast. Algorithms will be developed for improving traffic and pedestrian safety and the forecast gate closures will be to advanced traveler information systems
Complete Forecasting Highway Bridge Deterioration Under NAFTA Truck Traffic
The goal of the research project is to use Intelligent Transportation System (ITS) data, including weight-in-motion data, to calibrate high-fidelity traffic simulation models which will, in turn, provide accurate estimates of truck loadings for input to bridge damage models. The structural simulation models will estimate damage accumulation, in terms of both fatigue and corrosion. Lastly an infrastructure index will be developed based on the input from the traffic and structural simulation models. The goal of the index will be to indicate the overall “health” of the bridge with respect to both structural (i.e. damage) and traffic (i.e. congestion) metrics.
Complete Simulation Modeling of Passenger Car and Truck Interaction
The aim of this research is to develop a comprehensive, microscopic model of passing behavior. A driving simulator will be used to capture driver behavior characteristics associated with the passing and overtaking maneuver. Subsequently, the driving simulator and a calibrated traffic simulation model will be “connected” in real time. The goal is to develop an integrated research tool that can be used to study the operational and safety aspects of traffic flow and driver behavior.
Complete Automatic Calibration of ITS Micro-simulation Models
The objective of this research is to develop a methodology for automatically calibrating traffic micro-simulation models using real-time ITS data contained at the TAMU TRANSLINK center. The test micro-simulation models were TRANSIMS, a microscopic planning simulation model, and CORSIM, a microscopic operations simulation model. The test beds were located on the I-10 and US 290 highway corridors in Houston, the I-37 corridor in San Antonio Texas, and a diamond interchange in College Station. The methodology will be extended to calibrate arterial roadways and corridors that contain all three elements. In addition, the methodology will be extended to include origin – destination estimation within the calibration process as both rely on the same input. Genetic algorithms were used as the optimization technique.
Complete Forecasting Traffic Parameters by Classification of Patterns
This project developed a link and route travel time estimation algorithm using inductance loop data as input. A modular approach is adopted where the patterns are identified and a separate neural network is derived for each pattern. An iterative calibration process is proposed where the input patterns are classified based on the errors from the neural network.
Complete Mobile Source Emission Modeling: Methods, Sensitivity, and Analysis of Assumptions
The goal of this project is to analyze issues associated with incorporating TRANSIMS into Texas long term modeling process. The City of El Paso traffic network is used as test bed and environmental pollution estimates output from four-step process will be compared to environmental estimates output from TRANSIMS.
Complete Sustainable Transportation Performance Measures for Developing Nations
The goal of this research will be to develop and apply a methodology through which performance measures for sustainable transportation can be identified, quantified, and used in developing nations that have varying degrees of data availability. The test bed is a major commuter corridor that links previously disadvantaged communities with job opportunities in Pretoria, South Africa.
Complete Concept for a Technology Service Center
The Federal Highway Administration has promoted the concept of creating Technology Service Centers. These centers would help ensure that the technical expertise, hardware, and training would exist to support the analysis and modeling tools being developed by the federal government, universities, and the private sector. In this research the TRANSIMS and CORSIM highway micro-simulation models were calibrated and validated using ITS data obtained from the TAMU TRANSLINK research center. As part of this work robust synthetic origin-destination (OD) estimation techniques using loop data were developed.
Complete Incorporating Sustainability Metrics into the Transportation Planning Process
The focus of this project is on developing a procedure to incorporate sustainability metrics into the planning process. The metrics are based on economic, environmental and social impacts and address issues of equity, efficiency and safety. The metrics were implemented within a disaggregate transportation planning model.
Complete Examining Information Needs for Efficient Motor Carrier Transportation Logistics
This research uses survey results and field data analysis to investigate the information needs for motor carrier logistics. Methodologies for estimating commercial vehicle corridor travel time mean and variance were developed and subsequently tested using observed data at test beds in Houston and San Antonio. It was found that the link travel times experienced by commercial vehicles have statistically different travel time means and standard deviations than that experienced by probe vehicles. It was concluded that it would be beneficial to provide specific traveler information in real-time for commercial vehicles.
Complete Operational Planning
This project had two sections. The focus of the first section was on developing and incorporating real-time and forecast traffic and railway information in an Emergency Medical Services routing simulation model. Statistical models that predict arrival time and crossing duration at downstream at-grade intersections based on real-time train detection technologies were developed and implemented within the model. The focus of the second section was on the analysis of the FHWA TRANSIMS microscopic simulation planning model. The emphasis was on developing a methodology for calibrating the cellular automaton traffic simulation data using both aggregate and
Complete Incorporating AVI Data in Origin Destination Estimation Techniques
The goal of this project was to develop a procedure for using AVI data, which is typically used in traffic operations, to derive origin – destination (OD) matrices for planning and operations.
Complete Evaluate Automatic Vehicle Identification (AVI) for Travel Time Estimation and Incident Detection
The focus of this project was to use AVI data at a disaggregate level and artificial intelligence techniques for estimating travel times and detecting incidents.
Complete Emergency Medical Services Routing Simulation
The object of this project was to develop a routing tool for EMS services that incorporates real-time and forecast traffic and railway data. The programming language was visual C++.
Complete Establish a Framework for Identifying Unique Routes in the Transportation System
This project developed methodology to identify routes for ITS applications that rely on practical, rather than simply mathematical, definitions. The approach utilized mathematical programming and artificial intelligence techniques such as fuzzy theory and neural networks.
Complete Development of an Intersection Simulation Project to be Used in Educational Programs
The goal of this project was to develop traffic simulation program that can be used to educate students. Target audience ranges from junior high students to undergraduate students in introductory courses.
Complete Development of Dynamic Traffic Assignment Algorithms
NSERC operating grant for research on the development and analysis of new techniques to perform traffic assignment. Particular attention is focused on routing vehicles based on environmental and/or equitable considerations.
Complete Highway Geometrics/Safety Feasibility Study
Feasibility study to determine whether the Province of Alberta should develop specific geometric risk factors based on Alberta accident records for use in analyzing 3R/4R projects.
Complete Non-Commuter Vehicle Routing
Project to develop algorithms to route non-commuter vehicles such as paratransit vehicles, delivery trucks etc. and that can take advantage of dynamic traffic information provided by advanced traffic control systems.
Complete Develop Parameters, Methodology and Procedures to Realistically Assess State Roadway Maintenance Needs and to Establish a System to Recommend Equitable Allocation of Resources
This project set out to establish equitable allocation of scarce resources between construction and maintenance branches based on engineering relationships and economic theory.
Complete NDOR Policy Research Report: Risk-Based Budgeting Review and Recommendations