Led by Dr. Stephen Fickas of the University of Oregon (UO), transportation researchers are working to give bicyclists smoother rides by allowing them to communicate with traffic signals via a mobile app.
The latest report to come out of this multi-project research effort introduces machine-learning algorithms to work with their mobile app FastTrack. Developed and tested in earlier phases of the project, the app allows cyclists to passively communicate with traffic signals along a busy bike corridor in Eugene, Oregon. Researchers hope to eventually make their app available in other cities.
"The overall goal is to give bicyclists a safer and more efficient use of a city’s signaled intersections. The current project attempts to use two deep-learning algorithms, LSTM and 1D CNN, to tackle time-series forecasting. The goal is to predict the next phase of an upcoming, actuated traffic signal given a history of its prior phases in time-series format. We're encouraged by the results," Fickas said.
Their latest work builds on two prior projects, also funded by the National Institute for Transportation a Communities: in which Fickas and his team successfully built and deployed a hardware and software product called ‘Bike Connect’ which allowed people on bikes to give hands-free advance...
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Research demonstrates that marginalized populations experience significant barriers in accessing transit. The Transportation Research and Education Center (TREC) and the Homelessness Research & Action Collaborative (HRAC) at Portland State University are working with the University of Utah in a project funded by the National Institute for Transportation and Communities (NITC) to understand how people from selected historically marginalized communities experience discrimination and harassment on transit and in public areas such as sidewalks, bus stops, and transit platforms when accessing transit.
The study will be conducted in two sites: Portland, Oregon and Salt Lake City, Utah. In Portland, the study population will include racially and ethnically diverse people experiencing homelessness and people who identify as transgender and gender nonconforming; and ride TriMet. In Salt Lake City, the study population will include people experiencing homelessness as well as diverse groups based on their gender, racial, and ethnic identity; who ride Utah Transit Authority. We are seeking transit riders to help inform the study through photos and interviews. Participants will be compensated up to $50 for their labor. The researchers will be recruiting participants for this study through the end of August.
PARTICIPATION INVOLVES:
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The latest report funded by the National Institute for Transportation and Communities – Transit Impacts on Jobs, People and Real Estate, from the University of Arizona – represents the culmination of nearly a decade of research into the economic effects of transit. To unpack the dense and substantial findings from 17 LRT, 14 BRT, 9 SCT, and 12 CRT systems in 35 metro areas across the United States, we've been telling the story in chapters. Last month we focused on how transit affects where people live, and before that we explored how it impacts the locations of jobs.
This month, we're delving into volume 4 of the final report: Impact on Real Estate Rents with Respect to Transit Station Proximity Considering Type of Real Estate by Transit Mode and Place with...
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In the June 2021 issue of Case Studies on Transport Policy, Ben Clark and Anne Brown of the University of Oregon published an article titled, "What Does Ride-hailing Mean For Parking? Associations Between On-street Parking Occupancy And Ride-hail Trips In Seattle." The paper draws on findings from their NITC research Investigating Effects of TNCs on Parking Demand and Revenues.
Ride-hailing companies, including Uber and Lyft, upset the traditional nexus between driving and parking. As cities consider parking policy reforms amidst a wave of app-based transportation systems, including ride-hailing, the associations between parking occupancy and ride-hailing remain unclear. Examining this association is critical as it may help understand the connections between ride-hailing and the built environment and help cities plan for a future of new transportation technologies that may alter the role of or need for on-street parking. This article examines associations between ride-hail trips and on-street parking occupancy in Seattle, Washington.
The researchers predict that on-street parking occupancy...
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Brandon Siracuse recently earned his master's degree in city and metropolitan planning from the University of Utah. While at the U of Utah he worked as a research assistant, earned a NITC scholarship, and served as an officer in the university's transportation student group, Point B. As of June 2021, he now works as a planner for the City of Council Bluffs, IA. Before enrolling in his master's program, Brandon worked as a full-time intern at the Washington University Medical Center Redevelopment Corporation in St. Louis, where he primarily did GIS work and data analysis to aid in the nonprofit organization's community planning efforts. Brandon is interested in land use, transportation, and the intersection of the two, and is particularly passionate about active transportation.
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Tell us about yourself?
I am originally from Omaha, NE, and I have also had the great privilege of getting to live in St. Louis and Salt Lake City. I got my undergraduate degree in Environmental Science from Saint Louis University, and while I was there I realized I wanted to become an urban planner. I recently graduated from the Master of City and Metropolitan Planning program at the University of Utah, where I served as secretary and then treasurer...
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We're proud to announce the publication of a new NITC dissertation: "Free Movement: Enhancing Open Data To Facilitate Independent Travel For Persons With Disabilities," by Shiloh Deitz of the University of Oregon.
"In this project, I found that across the United States there is a lack of both data for accessible pedestrian routing and tools for filling in those data. AI methods have contributed to filling in missing data for applications like autonomous vehicles but much less often to intervene in quality of life improvements. Critical geoAI, that is, bringing a critical geographic lens to artificial intelligence applications, has the potential to contribute to the amelioration of these data and analytic gaps," Deitz said.
Nearly 40 million Americans report a disability, and of this population, 70 percent travel less because of the challenges they face. When they do travel, those with limited mobility are more likely to be pedestrians or public transit users. Today, free commercial routing applications such as Google Maps offer a robust suite of tools for the able-bodied public to walk, ride bikes, take public transportation, or hail a taxi. Yet, such tools for persons with limited mobility to determine a safe and perhaps even pleasant urban route are experimental, limited, and only available in select cities (e.g....
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We're proud to announce the publication of a new NITC dissertation: "Methodologies to Quantify Transit Performance Metrics at the System-Level," by Travis Glick of Portland State University.
Performance metrics have typically focused at two main scales: a microscopic scale that focuses on specific locations, time-periods, and trips; and, a macroscopic scale that averages metrics over longer times, entire routes, and networks. When applied to entire transit systems, microscopic methodologies often have computational limitations while macroscopic methodologies ascribe artificial uniformity to non-uniform analysis areas. These limitations highlight the need for a middle approach. This dissertation presents a mesoscopic analysis based around timepoint-segments, which are a novel application of an existing system for many transit agencies.
In the United States, fix-route transit is typically defined by a small subset of bus stops along each route, called timepoints. For this research, routes are divided into a consecutive group of bus stops with one timepoint at the center. Each timepoint-segment includes all data collected in that segment during one hour of operation. Visuals for congestion and headway performance, based on the aggregated datasets, are designed to...
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Our multi-year study on automated transit fare collection offers a key finding that won't surprise you: Despite the convenience, the rush toward cashless fare systems has created barriers for lower-income riders seeking to use transit. Results from focus groups, surveys, and a review of current transit agency practices suggest that continuing to accept cash is a crucial way to keep transit accessible. However, dealing with cash has drawbacks: it’s time intensive and expensive. Using a detailed cost-benefit model, the researchers explored the costs for agencies to maintain some cash options and found that some simple approaches can be quite effective. The best bang for the buck? Cash collection on board buses.
Launched in 2019, the research project "Applying an Equity Lens to Automated Payment Solutions for Public Transportation" was supported by a Pooled Fund grant program from the National Institute for Transportation and Communities (NITC) and conducted at three universities: Portland State University (PSU), the University of Oregon (UO), and the University of Tennessee, Knoxville (UTK). The other funding partners were City of Eugene, OR, City of Gresham, OR, Lane Transit District, Clevor Consulting Group, and RTD (Regional Transportation District) Denver....
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The latest report funded by the National Institute for Transportation and Communities – Transit Impacts on Jobs, People and Real Estate, from the University of Arizona – represents the culmination of nearly a decade of research into the economic effects of transit. To unpack the dense and substantial findings from 17 LRT, 14 BRT, 9 SCT, and 12 CRT systems in 35 metro areas across the United States, we're telling the story in chapters. Last month we focused on how transit impacts the locations of jobs.
Now we're taking a deeper dive into volume 3 of the final report: Impact on Where People Live Over Time with Respect to Transit Station Proximity Considering Race/Ethnicity and Household Type and Household Budget by Transit Mode and Place Typology with Implications for Transit and Land Use Planning (PDF).
HOW DOES TRANSIT IMPACT WHERE PEOPLE LIVE?
By the year 2050, America is projected to gain at least 100 million new residents, 40 million new households, and 60 million new jobs. Demographic analysis and consumer preference surveys tell us that at least a third of America’s 150 million households (50+ million) in 2050 will want to live in...
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Jobaidul Alam Boni, or Boni for short, is a Ph.D student currently working as a graduate research & teaching assistant in the department of civil engineering at the University of Texas at Arlington. He also serves as the President of the ITE Student Chapter at UTA. Boni completed his B.Sc in Civil Engineering from Bangladesh University of Engineering & Technology, and his M. Eng in Transportation Engineering from University of Texas at Arlington. His research interests center around human factors and consideration of user behavior in the design, evaluation and innovation of transportation systems.
Tell us about yourself?
I am Jobaidul Alam Boni and I am a Graduate Research Assistant in Transportation Engineering at the University of Texas at Arlington. Originally, I came from a small town named ‘Faridpur’ in Bangladesh and moved to the capital ‘Dhaka’ in 2006. I finished my bachelor’s in science degree from Bangladesh University of Engineering (BUET) in 2014. Then I joined the Asian Disaster Preparedness Center (ADPC) as an Engineer and worked there for three years till 2017. In August 2017 I joined UTA for my Master’s in Engineering program and got my degree in 2019. Later I joined the Ph.D. program at UTA under the supervision of Dr. Kate Hyun and co-supervision of Dr. Stephen P....
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