Category Archives: Activities Research Updates

List of Posters Presented at 2016 MATS UTC Annual Meeting–Part 1

This is the first 18 of 32 posters presented at the 2016 MATS UTC Annual Meeting August 4-5 in Charlottesville, Virginia.  The hyperlinks reveal a PDF of each poster.

1.  Integrated Data for Improved Asset Management: Case Study for Flood Risk Assessment presented by Jon Goodall and Yawen Shen (A)

2.  Impact of Climate Change and Sea Level Rise on Stormwater Design and Reoccurring Flooding Problems in the Hampton Roads Region presented by Jon Goodall and Jeff Sadler (A)

3.  Road and Traffic Modeling for Evacuation: Identifying Roads Likely to be Flooded and Comparison of Micro and Macro Simulation Models presented by Pamela Murray-Tuite and Jianhe Du (B)

4. Transportation Infrastructure Flooding: Sensing Water Levels and Clearing and Rerouting Traffic out of Danger presented by Pamela Murray-Tuite (B)

5. MATS UTC AnnualUse of Graph Theory to quantify resilience in multimodal transportation systems presented by Lindsay Ivey-Burden (A)

6. Utilizing a Neighboring Weighted-Estimation Method for Outlier Detection with a Continuous Compaction Control Data Set presented by Will Baker (A)

7. Accelerating Use of Sustainable Materials in Transportation Infrastructure presented by Zhangfan Jiang (A)

8.  Structural Enhancements to Adapt to Impacts of Climate Change presented by Osman Ozbulut (B)

9. Fiber-Reinforced Plastic (FRP) Wraps for Next Generation Sustainable and Cost-Effective Rehabilitation of Coastal Transportation Infrastructure in the Mid-Atlantic Region presented by Wael Zatar, Hai Nguyen, and Osman Ozbulut (B)

10. Bacterial Communities in Pavement Concrete Susceptible to ASR presented by Julie Maresca (A)

11. Exploring the use of LIDAR data from Autonomous Cars for Estimating Traffic Flow Parameters and Vehicle Trajectories presented by Reza Nezafat and Mecit Cetin (B)

12. Aerosol Detection in Lidar-Based Atmospheric Profiling presented by Mohamed Elbakary, Khan Iftekharrudin, and Hossam Abdelghafar (A)

13.  Leveraging Connected Vehicles to Enhance Traffic Responsive Traffic Signal Control presented by Andrew Nichols (B)

14. Evaluation of Emergency Vehicle Preemption and Emissions-based Performance Assessment of Traffic Control Using High Resolution Data presented by Andrew Nichols (B)

15. Connected Vehicle Technologies for improving fuel efficiency and durability of Fuel Cell Hybrid Vehicles presented by Yongqiang (John) Wang (A)

16.  Exploring Environmentally Sustainable Traffic Signal Warrant for Planning Application presented by Seongah Hong (A)

17. Optimizing Isolated Traffic Signal Timing Considering Energy and Environmental Impacts presented by Alvaro J. Calle (A)

18. Development and Testing of Eco-routing and Eco-Cooperative Adaptive Cruise Control Systems presented by Ahmed Elbery and Jinghui Wang (A)


2016 Undergraduate Research End of Summer Symposium

On Thursday, July 28, 2016 we will hold our second annual Undergraduate Summer Research Internship Program (USRIP) End of Summer Symposium.  Our six UVA researchers will present posters in Thornton D223.  From 1pm-4:30pm we will hold an online webinar that will feature oral presentations from all eleven of our researchers at four MATS UTC universities.  The 2016 USRIPs are from seven different universities.

Webinar registration

Please come back to this news post that will eventually include all of the presentations, final reports and posters of our participants.

Our line-up on Thursday, July 28:

1:00 pm Welcome, MATS UTC Managing Director, Emily Parkany

1:05 pm Michelle Pasco (Old Dominion University, working at UVA)   Understanding Map Integration Using GIS Software (Presentation) (Report)
1:20 pm Benjamin Weible  (Marshall University, working at Marshall) Investigating the Impact of Skewed Pneumatic Traffic-Counting Tubes on Accuracy (Presentation) (Report)
1:35 pm Olufunmilayo “Fumi” Ogunye  (Morgan State University, working at UVA)  Transportation Corridor Resilience Assessment(Presentation) (Report)

BREAK (UVA USRIPs by their posters)

2:05 pm Rachel Carder (Marshall University, working at UVA)  Fabrication and Cyclic Loading of Superelastic Shape Memory Alloy Reinforced Polymer (Presentation) (Report)
2:20 pm Divannia Hill (University of Delaware, working at UVA)  Self-Sensing Cementitious Composites with Graphene Nanoplatelets Using a Simple and Scalable Fabrication Method (Presentation) (Report)
2:35 pm Alec l’Amoreaux  (University of Delaware, working at UD) and Marc “Gus” Touissant   (University of Delaware, working at UD)  The Effects of Neighborhood Size and Data Cleaning on Intelligent Compaction (IC) and In-Situ Data Comparisons (Joint Presentation) (l’Amoreaux Report) (Toussaint Report)

BREAK (UVA USRIPs by their posters)

3:20 pm Maria Rossetti (University of Arkansas, working at UVA)    Sample Study of a Bioretention Cell enhanced with Zero-Valent Iron and Biochar (Presentation) (Report)
3:35 pm Carolyn Pisciotta (Georgia Tech, working at UD) Quantifying Biochar Concentrations in Soil Samples (Presentation) (Report)
3:50 pm Megan Witherow (Old Dominion University, working at ODU) Analysis of Crowd-sourced Flooding Images Using Computer Vision Techniques (Presentation) (Report)
4:05 pm Abby Blase (University of Virginia, working at UVA) Projected flood impacts from Sea Level Rise, Tides, and Spatially Variable Storm Surge on Roadways in Norfolk and Virginia Beach, VA (Presentation) (Report)

4:20 RECEPTION at UVA (USRIPs by their posters)

Many thanks to MATS UTC and the UVA Center for Diversity for support of this year’s Undergraduate Summer Research Internship Program.

Website for last year’s 2015 Symposium including video, final reports, oral presentations and posters of the nine USRPs who worked at UVA.

Research Spotlight: Enhancing Traffic Control Systems to Reduce Emissions and Fuel Consumption

Well-timed traffic signals are a joy to most drivers, allowing us to travel comfortably without stopping and starting. Signal timing is usually optimized simply to move vehicles efficiently and safely, especially along congested corridors. Yet, as more attention is given to reducing the effects of transportation systems on the environment, there may be an opportunity to leverage signal-timing strategies specifically to reduce emissions and fuel consumption.

Vehicles emit higher emissions and use more fuel when stopping and accelerating. Researchers at Marshall University (MU), the University of Virginia (UVA) and Virginia Tech (VT) hypothesized that intersection traffic control could be enhanced to reduce emissions and fuel consumption by moving traffic more efficiently through intersections. Some of the research team used high-resolution data collected from traffic signal controllers along heavily congested WV-705 in Morgantown, WV, to examine events that occurred at intersections along the corridor. Information on common events, such as phase changes and detector calls, and rare events, such as coordination alarms and emergency vehicle preemption, was available in this high-resolution format.

Leveraging the diverse modeling skills and expertise of the researchers, the project examined all aspects of traffic signals – warrants to install them, design and optimization of timing, and monitoring – through the lens of environmental impact rather than traffic mobility. Part of the team investigated the optimal control type for a particular intersection, such as a traffic signal, 2-way stop, 4-way stop, or roundabout, to minimize anticipated carbon dioxide emissions. Other investigators studied whether there are differences in optimal signal timings based on goals to either move traffic efficiently or to reduce emissions. Another group considered how the movement of emergency vehicles through a signalized corridor can be improved to optimize traffic flow and reduce emissions through different signal timing patterns.

Results showed that changes in traffic control implementation have environmental impacts. Traditional traffic signal warrants are based on mobility parameters, whereas this study looked at all control types based on emissions. As shown in Figure 1, the emissions are going to be lowest using either roundabout control or two-way stop control, which is expected because the majority of the traffic does not have to stop at these intersection control types.  Further, the study showed that the optimal cycle length (time it takes to serve all movements) at a signalized intersection differs based on the objectives to either move traffic efficiently or to reduce emissions and fuel consumption. More work is needed to develop an approach that accounts for both optimized traffic flow and maximized environmental impact.

Analysis of the high-resolution data was useful in understanding the activities that occur at intersections preempted by emergency vehicles. These events are difficult to evaluate in the field because they do not occur on a regular or frequent basis. The study analyzed how well the emergency vehicle detection system and corresponding programming were performing to ensure the proper operation to maximize the safety of the intersection. It also examined the effect of emergency vehicle preemptions on emissions, particularly when regular traffic yields to emergency vehicles versus when traffic flows with the emergency vehicle under a green signal indication.

The study found ways to characterize the impact of preemptions at various intersections, particularly related to emissions. Results showed that when traffic yields to an approaching emergency vehicle, there are 16% more emissions at the intersection than if no emergency vehicle is present. Alternatively, there are 8% less emissions when traffic flows with the emergency vehicle. In real traffic situations, it is difficult to control how traffic could flow at the same pace as an emergency vehicle, unless the emergency vehicle uses its emitter to control traffic signals but doesn’t alert traffic with its lights or siren. In this situation, emissions would be lower since all traffic would be flowing efficiently based on consistent green lights.

Andrew Nichols, PhD, professor of engineering at MU and one of the project’s lead PIs, explained the value of what he calls, ‘forensic traffic control analysis’. “This type of high-resolution traffic signal data provides traffic engineers with a new tool to better understand what is happening at the intersection when they are not there. This information can be used to improve traffic control for many objectives, including reduction of emissions and fuel consumption. This project provides tools to help traffic engineers better understand how the decisions they make regarding traffic control affects the environment.  As more state and federal funding is designated for programs that reduce environmental impacts, these types of tools will become more and more essential.”

Project description:

PDF of Final report (June 2016): Enhancing Traffic Control Systems to Reduce Emissions and Fuel Consumption

For more information about this project, contact Andrew Nichols at

Additional research collaborators include:
Montasir Abbas, PhD, associate professor of transportation infrastructure and systems engineering at VT
Hesham Rakha, PhD, professor of transportation infrastructure and systems engineering at VT
Brian Park, PhD, associate professor of civil and environmental engineering at UVA.

MATS_Traffic Control

Figure 1:  Optimal Traffic Control for Major Street and Minor Street Volume Combinations

Research Spotlight: Environmental and Safety Attributes of Electric Vehicle Ownership and Commuting Behavior

Electric vehicles (EVs) are considered one potential way to reduce climate-changing greenhouse gas emissions. EVs have either plug-in hybrid or fully battery electric engines. As a result, they emit fewer toxic gases and have a lower carbon footprint than conventional vehicles. However, environmental benefits are ultimately dependent on EV owner attitudes toward sustainability and safety as well as commuting behavior.

In 2012, the State of Maryland developed a plan to promote EVs by investing in charging facilities at rail transit stations, hoping to encourage EV commuters with a convenient way to recharge their vehicles. Researchers at MSU are studying the Maryland model, discerning how these charging facilities at rail transit stations enhance market penetration of EVs and affect commuting behavior and mode choice. In particular, they are exploring the differences in commuting behavior for EV and conventional vehicle owners, since increased numbers of EV commuters could significantly impact infrastructure plans and traffic safety decisions.

The researchers have collected large amounts of nationwide data related to EV ownership, including demographics and attitudes toward commuting. Preliminary results show that EV owners tend to be older white males who are well educated and in higher income brackets. They engage in traditional commute patterns, such as driving from suburbs into cities more so than travelling from suburb to suburb. They do not seem to exhibit range anxiety as the average commute distance is 19 miles one way. These preliminary findings show that EV owners use rail even less than conventional vehicle owners, making it difficult to forecast how EV commuting behavior might change based on the availability of charging facilities at rail stations.

Lead PIs, Andrew Farkas, PhD, and Hyeon-Shic Shin, PhD, both from MSU, are turning their attention to EV owners specifically in Maryland. Surveys are being deployed to both EV and conventional vehicle owners to explore their attitudes toward sustainability and the environment, demand for in-vehicle safety technologies and commuting behavior. The results will form the basis for comparing EV owners to conventional vehicle owners in Maryland and to EV owners across the country.

“Currently, there is limited data on travel patterns and mode choice for EV owners,” stated Farkas. “Over time, we may see an increase in the number of EVs on our roadways. If owners of EVs exhibit significantly different driving patterns than conventional vehicle drivers, or if the demographics of new EV owners change over time, then we may need to reconsider how we model travel behavior and make infrastructure decisions.”

Farkas and Shin are also studying how EV owners’ demands for safety technologies differ from current conventional demands. The findings may dictate new approaches for making public policy and transportation planning decisions related to EV promotion and subsidies, infrastructure related to charging stations and statewide traffic models.

Project Page:

For more information, contact Dr. Farkas at or Dr. Shin at

Faculty Spotlight: Steven Hankey, PhD, Assistant Professor of Urban Affairs and Planning, School of Public and International Affairs, Virginia Tech

The opportunity to work for Zipcar after graduating with a BS in chemical engineering changed the trajectory of Steven Hankey’s career. Tasked with evaluating communities to determine if the car-sharing program might be feasible in those locations, he developed an interest in the impact that various modes of transportation have on clean, healthy neighborhoods.

Enrolling at the University of Minnesota, he earned an MS in Civil Engineering, a Master’s Degree in Urban and Regional Planning and a PhD in Civil Engineering. Today, as an assistant professor at Virginia Tech (VT), he continues to study urban air quality, bicycle and pedestrian traffic, and land use models to design healthy neighborhoods.

These interests in sustainable land use practices led to his MATS UTC collaboration with his Alexandria-based VT colleague, Ralph Buehler, PhD, associate professor in urban affairs and planning, Tianjun Lu, a PhD student at VT, and Andrew Mondschein, PhD, assistant professor in urban and environmental planning at the University of Virginia. Together, the researchers developed a proof-of-concept bicycle and pedestrian traffic count program as a tool to comprehensively monitor non-motorized traffic. As federal, state and local governments commit more funding to developing sustainable communities, there is growing interest in understanding the impact of pedestrians and bicycles on the entire transportation network rather than on specific trails or corridors.

Using 101 count sites in Blacksburg, VA, the researchers collected over 40,000 hours of bicycle and pedestrian counts covering 10% of the transportation network, exploring seasonal, daily and hourly patterns as well as spatial location, street functional class and level of supporting infrastructure. The study determined that non-motorized traffic can be monitored on a routine basis and that the performance measures analogous to those for motorized traffic can be used to track progress. The researchers hope to replicate the study in other locations and ultimately develop non-motorized land use modeling on a national scale.

hankey story

PhD Student, Tianjun Lu, places sensors to monitor bicycle and pedestrian traffic in Blacksburg, VA

Hankey presented similar work at the 2016 Transportation Research Board annual meeting. Working with Greg Lindsey, PhD, professor in urban and regional planning at the University of Minnesota, the researchers explored facility-demand models as potentially useful tools for generating spatial estimates of pedestrian and cyclist traffic volumes. Comparing fully-specified versus reduced-form models, they concluded that reduced-form models explain nearly as much of the observed variation in bicycle and pedestrian traffic as the fully-specified models but are easier to apply and interpret. The work was recognized as the outstanding paper in the pedestrian category at the annual meeting.

Extending these research interests to students has been rewarding for Hankey. “Students in my ‘Topics in Transportation’ class provided much of the preliminary information for our MATS UTC project,” he explained. “They worked with town staff to identify top transportation priorities. They conducted preliminary research, deploying counters at several locations and measuring 240 hours of bicycle and pedestrian counts. The students presented their findings to a town advisory committee, gaining experience in applying research discoveries to real community issues. And their work provided validation counts that were critical to the design of the proof-of-concept project.”

Working collaboratively on these projects has been important. “Ralph and Andrew brought unique skills to the table,” he stated about the MATS UTC project. “Andrew provided his expertise on land use factors that affect bike use and Ralph helped us determine if the variables made sense. We had three researchers working together in three different locations, with students in each lab gaining valuable exposure to application-based results.”

Hankey’s work continues to focus on how bike and pedestrian traffic can be an integral part of healthy communities. Next up, he’s hoping to develop a phone app to determine how the transportation environment, related to pedestrians, bikes and vehicles, influences mood. And with his students out on bikes and wearing air quality sensors, he’s developing a spatial model of the air pollution ‘hot-spots’ in Blacksburg. The study explores the impact of relocating bike corridors off of main routes to reduce exposure to air pollution. “By gaining a better understanding of the interactions between pedestrians, bicycles and vehicles, we can develop smarter ways to build out the entire transportation network.”

Designing a Bicycle and Pedestrian Traffic Count Program to Estimate Performance Measures on Streets and Sidewalks in Blacksburg, VA – Project Page, Designing a Bicycle and Pedestrian Traffic Count Program to Estimate Performance Measures on Streets and Sidewalks in Blacksburg, VA – PDF (June 2016)

For more information, contact Steve Hankey at


UVA Student Muhammad Sherif Presents at ASCE Conference in Nashville

Ph.D. Student Muhammad Sherif attended at the ASCE Engineering Mechanics Institute (EMI) Conference 2016 & Probabilistic Mechanics & Reliability Conference 2016, which was held in Nashville, TN between May 21-23, 2016.

Muhammad Sherif delivered a presentation during the conference. His presentation is titled as:

  • “Characterization of mechanical and electrical properties of SMA-PVA fiber-reinforced cementitious composites”

Marshall University GIS Story Map Wins 3rd Place in ESRI Contest!

The MATS UTC research team from the Rahall Transportation Institute (RTI) at Marshall University also crafted a GIS Story Map on “Moving Towards Sustainability in Extraction Economies of Appalachia” (see:  The team submitted their GIS Story Map to ESRI’s international Storytelling with Maps contest.  They were just informed that Marshall University* won 3rd place in the “Best Infrastructure, Planning, and Government Story Map” category.   Marshall University’s winning Story Map will be featured at the Esri User Conference, (June 27 – July 1 in San Diego, Ca.) “where more than 15,000 GIS users come together to share ideas and do their part to transform our world.”


Using GIS Story Maps to Engage Stakeholders in Sustainability Planning -UD

As part of our MATS UTC work, two UD Institute for Public Administration (IPA) public administration fellows (PAFs) have developed a series of GIS Story Maps that will be showcased as “visual tools” on IPA’s Delaware Complete Communities Planning Toolbox.  The GIS Story maps can be viewed online at IPA’s GIS story map gallery, called Implementing Complete Communities in Delaware (  The article presented below describes IPA’s work and the honor bestowed on PAF Savannah Edwards as the only student selected to make a presentation at the 2016 Delmarva GIS “Going Viral” Conference in Dover, Del. on April 14, 2016 (she also presented a poster).

Using GIS Story Maps to Engage Stakeholders in Sustainability Planning

By Savannah Edwards, Public Administration Fellow, Institute for Public Administration

      and Marcia S. Scott, Policy Scientist, Institute for Public Administration

Often, a picture is worth 1,000 words. This expression certainly rings true when Geographic Information System (GIS) story maps are used to bridge communication gaps in transportation and land use planning.

According to ESRI, an international supplier of GIS software, “Story maps use geography as a means of organizing and presenting information. They tell the story of a place, event, issue, trend, or pattern in a geographic context. They combine interactive maps with other rich content—text, photos, video, and audio—within user experiences that are basic and intuitive.” GIS story maps are effective communication platforms and are ideal for engaging the public or “citizen planners” in complex land use- and transportation planning, and public policy issues. They combine both geospatial data and visual images to convey information to non-technical audiences (who have online access) in a fun and compelling way.

The format of a story map is dictated by the planning topic, access to data, and availability of basemaps. ESRI story map application (apps) templates come in a variety of “flavors” that can be modified or customized to maximize visual appeal, heighten public participation, and convey information. Some of the available layouts include a series of narrative-based maps, sequential map-based tours, and maps with interactive data-analysis features. For example, a ‘swipe’ template allows viewers to display and compare two maps (or layers) simultaneously. Links to social media, crowdsourcing, online polls, and multi-media content can heighten the potential of GIS story maps to engage the public, once it is published and shared online. GIS Story Maps can be viewed online or displayed during a public workshop to achieve both “high-touch” and “high-tech” citizen engagement.

Savannah Edwards (MPA ’17) and Brandon Grabelsky (MPA ’16), Public Administration Fellows at the Institute for Public Administration (IPA) have developed a series of GIS Story Maps to illustrate best practices associated with Planning for Complete Communities in Delaware. Prior to work on this project, Edwards and Grabelsky were non-GIS users. To build their technical skills and knowledge of GIS, each student created a free ArcGIS Online account, viewed online story map tutorials and examples, took ESRI virtual campus courses, and participated in a FirstMap Introductory Seminar. IPA Associate Policy Scientist Nicole Minni, GISP, provided technical support and guidance on an as-needed basis.

Edwards completed five GIS story maps that exemplify four of the five elements of a Complete Community that may be described as “attractive, inclusive, efficient, healthy & resilient places.” These include story maps on context-sensitive solutions, mixed-use development, planning for aging-friendly environments, historic preservation planning, and the Delaware Downtown Development District program. Edwards was selected to present her work and display a poster at the 2016 Delmarva GIS “Going Viral” Conference in Dover, Del. on April 14, 2016.

Grabelsky’s GIS story map focuses on Freeboard as a floodplain management strategy. This exercise was one facet of his extensive work on Creating Flood-Ready Communities in Delaware, which is showcased within the “Sustainable and Resilient” section of IPA’s online Delaware Complete Communities Planning Toolbox (www.

The GIS Story maps can be viewed online at IPA’s GIS story map gallery, called Implementing Complete Communities in Delaware ( The applied research project work is supported by the Mid-Atlantic Transportation Sustainability Center – Region 3 University Transportation Center (MATS UTC) and the Delaware Department of Transportation (DelDOT).

GIS Story Map 1

GIS Story Map 2

IPA Public Administration Fellow Savannah Edwards (MPA ’17) presented and displayed a poster at the 2016 Delmarva GIS Conference

GIS Story Map 3.jpgGIS Story Map 3

With support from MATS UTC, IPA Public Administration Fellow Savannah Edwards (MPA ’17) developed a GIS Story Map on Downtown Development Districts as part of the Delaware Complete Communities Planning Toolbox.



Looking for Undergraduate Summer Research Internship Program Participants — Apply by February 15!!

The Mid-Atlantic Transportation Sustainability University Transportation Center (MATS UTC) will be hosting an Undergraduate Summer Research Internship Program (USRIP).  Researchers from across the country will be working with faculty and staff at all six MATS UTC consortium universities and the Virginia Transportation Research Council (VTRC) on a variety of projects. Rising seniors and members of underrepresented groups are especially encouraged to apply!

  • Participating Research Facilities: U Delaware, Morgan State, Old Dominion, U Virginia, Marshall, Virginia Tech, VA Transportation Research Council
  • Program dates: May 31 – July 29, 2016
  • Stipend: $4000 + out-of-town housing (a limited number of meal stipends available, if federal aid-qualified)
  • Application requirements:  Application form, Personal statement, Resume, Two letters of recommendation, Unofficial transcript
  • Application Deadline: February 15, 2016
  • For more information, please see the application form and last year’s Symposium web page for a video of last summer’s researchers and a list of their projects. Please direct all questions to Dr. Emily Parkany (MATS UTC Managing Director) at

Thirteen Presentations at TRB Related to MATS UTC

The following nine papers were all accepted for the 2016 Transportation Research Board Annual Meeting to be held January 10-14, 2016 in Washington, D.C. This meeting includes over 11,000 participants and over 500 technical sessions.   These papers were submitted for consideration by August 1, 2015 when the Center was a year old. We are excited about this success related to our one-year old University Transportation Center.

  • Green, A., H. Park, D. Recht, B. Smith, “Investigating Cost Savings Expected from Connected Vehicle-Enabled Applications:  Virtual Dynamic Message Sign System Case Study” A. Green worked on this paper as a MATS UTC Undergraduate Summer Researcher.
  • Babiceanu, S., D. Gonzales, E. Parkany, B. Hungate, “Assessing the Wider Economic Benefits of Intelligent Transportation System Deployments: A Virginia Case Study” D. Gonzales and B. Hungate worked on this paper as MATS UTC Undergraduate Summer Researchers.
  • Parkany, E, “Webinars, Advisory Boards, T2 Implementation Plans and other Examples of University Technical Transfer Best Practices” MATS UTC Managing Director E. Parkany wrote this based on experiences with the regional UTC.
  • Project: Structural Enhancements to Adapt to Impacts of Climate Change
    Khakimova, E., Sherif, M., Tanks, J. D., Ozbulut, O. E., Harris, D. K., Ozyildirim, H. C. “Feasibility of using shape memory alloys as fiber reinforcement in concrete.”
  • Project:  Enhancing Traffic Control Systems to Reduce Emissions and Fuel Consumption
    Chou, J. and A. Nichols, “Characterizing Emergency Vehicle Preemption Operation Using High-Resolution Traffic Signal Event Data”
    Hong, S., J. Hu, B. Park, “Development and Evaluation of Environmentally Sustainable Traffic Signal Warrant for Planning Application”
    Laguna A., Rakha H., and Du J. (2016), “Optimizing Isolated Traffic Signal Timing Considering Energy and Environmental Impacts,” Accepted for presentation at the 95th Transportation Research Board Annual Meeting, Washington DC, January 10-14. [Paper # 16-1092]
  •  Project: Multimodal Freight Distribution to Support Increased Port Operations
    Makahon, I, Cetin, M, Ng, M.W., Nguyen, D.T., “Unloading and Premarshalling Algorithms with Java Computer Animation for Terminal Yard Operations”
  •  Project: Virginia Sustainable Travel Choices: Effects of Land Use and Location on Current and Future Travel Options
    Mondschein, A. and E. Parkany, “Hitting the Sweet Spot: Variability in Commute Lengths and Vehicle Emissions across a Diverse State”
  • Project: Alternative Fuels Usage in Maritime Transportation Systems
    E. Carr, J. Corbett, “Assessment of Potential Emissions from LNG as a Marine Fuel in the Inland Rivers”
  • Project: Network-wide Impacts of Eco-routes and Route Choice Behavior/Evaluation of AERIS Applications
    Elhenawy M. and Rakha H. (2016), “Expected Travel Time and Reliability Prediction using Mixture Linear Regression,” Accepted for presentation at the 95th Transportation Research Board Annual Meeting, Washington DC, January 10-14. [Paper # 16-2813]
    Elhenawy M. and Rakha H. (2016), “Traffic Stream Speed Short-term Prediction using Machine Learning Techniques: I-66 Case Study,” Accepted for presentation at the 95th Transportation Research Board Annual Meeting, Washington DC, January 10-14. [Paper # 16-3805]
    Venkat Ala M., Yang H., and Rakha H. (2016), “Sensitivity Analysis of Eco-Cooperative Adaptive Cruise Control at Signalized Intersections,” Accepted for presentation at the 95th Transportation Research Board Annual Meeting, Washington DC, January 10-14. [Paper # 16-2891]