OTREC researchers Krista Nordback and Sirisha Kothuri will present research at the North American Travel Monitoring Exposition and Conference (NATMEC) from June 29 to July 2, 2014.

The conference, organized by the Transportation Research Board, provides an opportunity for traffic monitoring professionals to share information about collecting and using traffic data.

Nordback will talk about what professionals can do to maintain bicycle count programs at the state level. She will give a presentation on the feasibility of using existing traffic signals to collect bicycle counts, and on what to do with that data once it is gathered.

Kothuri will present strategies for counting pedestrians using existing resources such as signal controllers and software already installed at intersections.

Nordback and Kothuri will draw from their own research as well as from the work of Miguel Figliozzi, Chris Monsere, Pam Johnson and...

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Students and faculty researchers from OTREC universities will present 45 papers at the Transportation Research Board’s annual meeting Jan. 22 to 26 in Washington, D.C.

The papers, to be presented at 37 separate sessions and poster sessions, stem from transportation research at Portland State University, the University of Oregon and Oregon State University. The three universities will send 43 students to the conference.

Alex Bigazzi, a PSU engineering doctoral student, will present his work on topics including congestion and emissions at the conference. Some of that work stems from his master’s thesis, “Roadway Congestion Impacts on Emissions, Air Quality, and Exposure,” with adviser Miguel Figliozzi at PSU. The thesis won this year’s Milton Pikarsky Memorial Award, which will be presented Jan. 21 at the Council of University Transportation Centers awards banquet.

Bigazzi will present another paper, which he wrote with PSU’s Kelly Clifton and Brian Gregor of the Oregon Department of Transportation, that looks at fuel economy for alternative-fuel vehicles in congestion. Titled “Advanced Vehicle Fuel-Speed Curves for Regional Greenhouse Gas Scenario Analysis,” the paper helps Oregon DOT incorporate hybrid, electric and fuel-cell vehicles into its emissions planning model.

While traditional vehicles lose fuel efficiency during congested driving, advanced vehicles don’t suffer from the same effects, according to the paper.  Some even do better in...

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View slides: Bell Presentation (PDF)

Moore Presentation (PDF)

Ma Presentation (PDF)

Identification and Characterization of PM2.5 and VOC Hot Spots on Arterial Corridor by Integrating Probe Vehicle, Traffic, and Land Use Data: The purpose of this study is to explore the use of integrated probe vehicle, traffic and land use data to identify and characterize fine particulate matter (PM2.5) and volatile organic compound (VOC) hot spot locations on urban arterial corridors. An emission hot spot is defined as a fixed location along a corridor in which the mean pollutant concentrations are consistently above the 85th percentile of pollutant concentrations when considering all other locations along the corridor during the same time period. In order to collect data for this study, an electric vehicle was equipped with instruments designed to measure PM2.5 and VOC concentrations. Second-by-second measurements were performed for each pollutant from both the right and left sides of the vehicle. Detailed meteorological, traffic and land use data is also available for this research. The results of a statistical analysis are used to better understand which...

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The video begins at 2:51.

Adam Moore: Bus Stop Air Quality: An Empirical Analysis of Exposure to Particulate Matter at Bus Stop Shelters

Congested traffic corridors in dense urban areas are key contributors to the degradation of urban air quality. While waiting at bus stops, transit patrons may be exposed to greater amounts of vehicle-based pollution, including particulate matter, due to their proximity to the roadway. Current guidelines for the location and design of bus stops do not take into account air quality or exposure considerations. This study compares the exposure of transit riders waiting at three-sided bus stop shelters that either: 1) face the roadway traffic or 2) face away from the roadway traffic. Shelters were instrumented with air quality monitoring equipment, sonic anemometers, and vehicle counters. Data were collected for two days at three shelters during both the morning and afternoon peak periods. Bus shelter orientation is found to significantly affect concentration of four sizes of particulate matter: ultrafine particles, PM1, PM2.5, and PM10. Shelters with an opening oriented towards the roadway were consistently observed to have higher concentrations inside the shelter than outside the shelter. In contrast, shelters oriented away from the roadway were observed to have lower concentrations inside the shelter than outside the shelter. The differences in particulate matter...

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The video begins at 4:13.

Wei Feng: Impacts of Economic, Technological and Operational Factors on the Economic Competitiveness of Electric Commercial Vehicles in Fleet Replacement Decisions

Electric commercial vehicles (ECV) have the potential to substantially reduce greenhouse gas emissions, noise, and pollution in urban areas. In addition, ECVs have lower per-mile operating costs and potentially lower maintenance costs. However, the initial purchase cost of ECVs is significantly higher than the purchase cost of a conventional diesel vehicle. From a purely economic perspective, there is a cost tradeoff between the low operating and maintenance costs of ECVs and their high initial capital costs.  In this paper, a fleet replacement optimization framework is employed to analyze the competitiveness of ECVs. Scenarios with different fleet utilization, fuel efficiency and sensitivity analysis of ten additional factors indicate that ECVs are more cost effective when conventional diesel vehicles’ fuel efficiency is low (8.2 miles/gallon) and daily utilization is more than 54 miles. Breakeven values of some key economic and technological factors that separate the competitiveness between ECVs and conventional diesel vehicles are calculated in all scenarios. For example, in low conventional diesel vehicle fuel efficiency and low daily utilization scenario, ECVs are more competitive when their purchase prices...

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