Transportation Commons^™

Hierarchical Value Decomposition For Effective On-Demand Ride Pooling, Hao Jiang, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

On-demand ride-pooling (e.g., UberPool, GrabShare) services focus on serving multiple different customer requests using each vehicle, i.e., an empty or partially filled vehicle can be assigned requests from different passengers with different origins and destinations. On the other hand, in Taxi on Demand (ToD) services (e.g., UberX), one vehicle is assigned to only one request at a time. On-demand ride pooling is not only beneficial to customers (lower cost), drivers (higher revenue per trip) and aggregation companies (higher revenue), but is also of crucial importance to the environment as it reduces the number of vehicles required on the roads. Since …

Undiscounted Recursive Path Choice Models: Convergence Properties And Algorithms, Tien Mai, Emma Frejinger

Research Collection School Of Computing and Information Systems

Traffic flow predictions are central to a wealth of problems in transportation. Path choice models can be used for this purpose, and in state-of-the-art models—so-called recursive path choice (RPC) models—the choice of a path is formulated as a sequential arc choice process using undiscounted Markov decision process (MDP) with an absorbing state. The MDP has a utility maximization objective with unknown parameters that are estimated based on data. The estimation and prediction using RPC models require repeatedly solving value functions that are solutions to the Bellman equation. Although there are several examples of successful applications of RPC models in the …

Neighborhood Cooperative Multiagent Reinforcement Learning For Adaptive Traffic Signal Control In Epidemic Regions, Chengwei Zhang, Yu Tian, Zhibin Zhang, Wanli Xue, Xiaofei Xie, Tianpei Yang, Xin Ge, Rong Chen

Research Collection School Of Computing and Information Systems

Nowadays, multiagent reinforcement learning (MARL) have shared significant advances in the adaptive traffic signal control (ATSC) problems. For most of the researches, agents are all isomorphic, which disregards the situation in which isomerous intersections cooperative together in a real ATSC scenario, especially in epidemic regions where different intersections have quite different levels of importance. To this end, this paper models the ATSC problem as a networked Markov game (NMG), in which agents take into account information, including traffic conditions of it and its connected neighbors. A cooperative MARL framework named neighborhood cooperative hysteretic DQN (NC-HDQN) is proposed. Specifically, for each …

An Assessment Of The Transit System Connecting Low-Income Households To The International Airport: A Case Study Of Southwest Alief, Texas, Abayomi Mololuwa Bakare

Theses (2016-Present)

Public transportation is part of the economic and social fabric of metropolitan areas, especially to low-income individuals who are often totally dependent on these services for their daily activities. In Houston Texas, this is made possible through the region's system of highway transit centers and other transportation options such as MetroBus and MetroRail. The role that transits plays in the connection between residential locations and employment opportunities is crucial in creating and implementing programs that will improve and maintain transit and ownership options available to vulnerable segments of Metropolitan residents. This study proposes the use of qualitative research methodology to …

Electric Vehicle (Ev) Infrastructure In The Mountain West, 2020-2021, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Transportation & Infrastructure

This fact sheet highlights data on electric vehicles (EVs) and EV charging stations, as originally reported by Zutobi in The 2022 EV Charging Station Report. This report examines the presence of EV infrastructure across the United States. The Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah are considered here.

Webinar: The Impact Of Decentralizing Homeless Services On Transportation And Mobility, Sarah Canham, Ivis Garcia, Shannon Jones, Jeff Rose

TREC Webinar Series

With findings from a mixed methods research study, this interdisciplinary webinar will present results from a historical public document analysis, a GIS spatial analyses, client surveys and interviews, and interviews with professionals and service providers. In 2019, the delivery of homeless sheltering services in Salt Lake County transitioned from a centralized emergency shelter to a scattered site model with multiple resource center locations, operated by multiple service providers. To understand the degree to which “proximity” to public transportation and other needed services was achieved, this study examined: how the decentralization of homeless services influenced transportation demand and mobility patterns for …

Albuquerque Public School’S Vision Zero For Youth Initiative: Engaging Student Youth In Designing A School District Transportation Safety Program, Cordell S. Bock

Architecture and Planning ETDs

The APS (Albuquerque Public Schools) Vision Zero for Youth Initiative adopts the global Vision Zero traffic safety movement’s goal of eliminating traffic fatalities and injuries to pedestrians and cyclists from vehicular crashes. The APS Vision Zero for Youth Initiative is comprised of a traffic-safety curriculum for K-8 students, an action plan that sets traffic-safety goals and progress evaluation frameworks for the school district, and a campaign to build a new culture of traffic safety for students, families, and local communities.

This project employs participatory methods that build the capacity of students enrolled in local public schools to produce and share …

Teen Driving And Community Mobility Educational Module For Ot Students, Celeste Johns, Angela Blackwell, Melissa "Missy" Bell

Spring 2022 Virtual OTD Capstone Symposium

Teens with disabilities require increased support in driving and community mobility (D&CM) due to increased complexity resulting from the combination of typical teen characteristics (physiological changes and developing cognitive skills), and limitations posed by physical, cognitive, or visual impairments (Interactive Autism Network, 2011; Monahan, 2012). Due to lack of training, decreased awareness, low confidence, decreased competence, billing, and productivity concerns OT practice is limited in addressing D&CM (Dickerson et al., 2011). There is a need for more targeted information regarding teen driving and community mobility within OT education to increase competence (knowledge, skills, attitudes), and prepare them to be generalists …

Rethink Your Commute: Good For The Planet & You, Courtney Reynolds

Sustainability Conference

Transportation choices have a big impact on the environment, as well as individual health and wellness. Many times, people may feel like they don't have any other choice than to drive to get to school, work, and other places. But exploring other options can lead to more sustainable choices and save individuals a lot of money.

At reThink Your Commute, we help people make informed decisions on how, when, and where they travel. We do this by promoting sustainable choices, connecting people to local resources, and supporting equitable access to transportation options. This 10-minute presentation will provide an overview of …

Development And Testing Of Braking And Acceleration Features For Vehicle Advanced Driver Assistance System, Johann Carlo Marasigan, Gian Paolo Mayuga, Elmer R. Magsino

Electronics, Computer, and Communications Engineering Faculty Publications

Traffic congestion is a constant problem for cities worldwide. The human driving inefficiency and poor urban planning and development contribute to traffic buildup and travel discomfort. An example of human inefficiency is the phantom traffic jam, which is caused by unnecessary braking, causing traffic to slow down, and eventually coming to a stop. In this study, a brake and acceleration feature (BAF) for the advanced driver assistance system (ADAS) is proposed to mitigate the effects of the phantom traffic phenomenon. In its initial stage, the BAF provides a heads-up display that gives information on how much braking and acceleration input …

Estimating E-Scooter Traffic Flow Using Big Data To Support Planning For Micromobility, Feng Chen, Junfeng Jiao, Haofeng Wang

Research Collection College of Integrative Studies

Dockless e-scooter sharing, as a new shared micromobility service, has quickly gained popularity in recent years. In this paper, we present a practical approach to estimating e-scooter flow patterns without knowing the actual routes taken by the e-scooter riders. Our method takes advantage of a huge open dataset that contains the origins and destinations of millions of trips. We show that our models can help cities better support the emerging shared micromobility service. The additional information generated in the modeling process can also be useful for a more refined analysis of e-scooter trips.

From Green To Gold: Community Along Lines Of Trade Between Dolpo And Mustang, Jack Cantor

Independent Study Project (ISP) Collection

Mustang and Dolpo are at a tipping point of connectivity and community change as road development brings the districts closer to Nepal’s economic centers. In this independent study, I document contemporary trade relationships between Mustang’s Sangda and Dolpo’s Chharka, currently separated by three days of unmotorable trail. Through in person interview, archival research, and photography, I document methods of economy and community in three villages- Mustang’s Phelag and Sangda, and Dolpo’s Chharka. I focus upon future community prospects of Sangda and Chharka as road development between the two progresses.

As the two villages exchange goods, develop familiarity, and host traders …

A Survey On Modern Deep Neural Network For Traffic Prediction: Trends, Methods And Challenges, David Alexander Tedjopumomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, Kai Qin

Research Collection School Of Computing and Information Systems

In this modern era, traffic congestion has become a major source of negative economic and environmental impact for urban areas worldwide. One of the most efficient ways to mitigate traffic congestion is through future traffic prediction. The field of traffic prediction has evolved greatly ever since its inception in the late 70s. Earlier studies mainly use classical statistical models such as ARIMA and its variants. Then, researchers started to focus on machine learning models due to their power and flexibility. As theoretical and technological advances emerge, we enter the era of deep neural network, which gained popularity due to its …

A Field Study In An Urban Area: Examining Distracted Pedestrian Unsafe Crossing Behavior, Emma Hood

Undergraduate Research Symposium

A field study examining distracted pedestrian unsafe crossing behavior in an urban area. The study is among the first to contribute knowledge to environmental alterations impact on crossing behavior. Portions of the abstract are a part of a manuscript that will be submitted to Psi Chi Journal of Psychological Research for undergraduate students.

Addressing Gendered Harassment And Women's Travel Needs, Madeline Brozen

PSU Transportation Seminars

This presentation will cover experiences, disparities, and solutions to gendered travel differences. Madeline will discuss research from a worldwide survey of harassment on public transit with specific insights from Los Angeles and research from two agency-led studies in Los Angeles. The talk will cover the large issues that make women's travel needs distinct from their male counter-parts - safety and complex travel patterns and some promising solutions for addressing these disparities.

Streamlining Project Development Through Planning & Environmental Linkages, Karen Hadley, Brett Lackey

Purdue Road School

As transportation agencies continue to explore ways to be more efficient in the project development process, they are embracing integrated methodologies like planning and environmental linkages. This tool is practical, yet highly effective and inclusive, and teams across the country are experiencing its value. This presentation will highlight a variety of use cases, discuss lessons learned and best practices, and specifically address how planning and environmental linkages can be applied in Indiana and the Midwest.

The Rise Of Southern Nevada As A Cluster For Metropolitan Transit Technology Innovations, Arthur C. Nelson

Policy Briefs and Reports

Southern Nevada is emerging as the nation’s leader in private sector-driven innovations in transportation technologies. From the humble beginnings of a monorail system serving a portion of major hotel and gaming venues along the Las Vegas Strip, now supplemented by an array of people movers, Southern Nevada continues to attract transit innovations in tunneling, Hyperloop, and driverless vehicle delivery technologies. The region may soon anchor a high-speed rail system connecting Southern Nevada to Los Angeles. The purpose of this briefing paper is to frame the nature of this emerging transportation cluster and the opportunities this creates for Southern Nevada to …

Webinar: Exploring Data Fusion Techniques To Derive Bicycle Volumes On A Network, Sirisha Kothuri, Joe Broach, Kate Hyun

TREC Webinar Series

Planners and decision makers have increasingly voiced a need for network-wide estimates of bicycling activity. Such volume estimates have for decades informed motorized planning and analysis but have only recently become feasible for non-motorized travel modes. Recently, new sources of bicycling activity data have emerged such as Strava, Streetlight, and GPS-enabled bike share systems. These emerging data sources have potential advantages as a complement to traditional count data, and have even been proposed as replacements for such data, since they are collected continuously and for larger portions of local bicycle networks. However, the representativeness of these new data sources has …

Exploring Data Fusion Techniques To Estimate Network-Wide Bicycle Volumes, Sirisha Kothuri, Joseph Broach, Nathan Mcneil, Kate Hyun, Stephen Mattingly, Md. Mintu Miah, Krista Nordback, Frank Proulx

TREC Final Reports

This research developed a method for evaluating and integrating emerging sources (Strava, StreetLight, and Bikeshare) of bicycle activity data with conventional demand data (permanent counts, short-duration counts) using traditional (Poisson) and advanced machine learning techniques. First, a literature review was conducted, along with cataloging and evaluating available third-party data sources and existing applications. Next, six sites (Boulder, Charlotte, Dallas, Portland, Bend, and Eugene) that represented a variety of contexts (urban, suburban) and geographical diversity were selected. Of these, Boulder, Charlotte and Dallas constituted the basic sites, where one year of data (i.e., 2019) was used for modeling. Portland, Bend, and …

Congestion Costs And Scheduling Preferences Of Car Commuters In California: Estimates Using Big Data, Jinwon Kim, Jucheol Moon

Mineta Transportation Institute

On average, California car commuters waste 4–5 minutes per morning commute due to congestion. Multiplied across all California car commuters, those few minutes entail a yearly total of approximately 2.3 billion hours of time wasted, costing 6 billion dollars. The objective of this study is to quantify congestion costs and determine how commuters adapt to the level of congestion they face (i.e., commuters’ scheduling utility functions). To that end, this research developed a model of trip scheduling under congestion to construct California commuters’ travel-time profiles, i.e., the menu of travel times that each individual would likely face according to alternate …