Multi-Agent Reinforcement Learning For Traffic Signal Control Through Universal Communication Method,
2022
Singapore Management University
Multi-Agent Reinforcement Learning For Traffic Signal Control Through Universal Communication Method, Qize Jiang, Minhao Qin, Shengmin Shi, Weiwei Sun Sun, Baihua Zheng
Research Collection School Of Computing and Information Systems
How to coordinate the communication among intersections effectively in real complex traffic scenarios with multi-intersection is challenging. Existing approaches only enable the communication in a heuristic manner without considering the content/importance of information to be shared. In this paper, we propose a universal communication form UniComm between intersections. UniComm embeds massive observations collected at one agent into crucial predictions of their impact on its neighbors, which improves the communication efficiency and is universal across existing methods. We also propose a concise network UniLight to make full use of communications enabled by UniComm. Experimental results on real datasets demonstrate that UniComm …
Mobility For The People: Evaluating Equity Requirements In Shared Micromobility Programs,
2022
University of Oregon
Mobility For The People: Evaluating Equity Requirements In Shared Micromobility Programs, Anne Brown, Amanda Howell, Hana Creger
TREC Final Reports
Technology-enabled shared micromobility services have expanded mobility for some travelers, but significant barriers to use limit their uptake among certain groups. To address these barriers, cities and professional transportation organizations have undertaken two distinct efforts to operationalize equity in shared micromobility services: 1) drafted equity frameworks in an attempt to clearly define equity within the transportation context and to provide guidelines for what cities should consider when designing equity-based mobility programs; and 2) some cities have attempted to ameliorate access disparities by establishing new requirements for shared micromobility programs. Both equity frameworks and program requirements mark important steps to operationalizing …
Aligning The Transit Industry And Their Vendors In The Face Of Increasing Cyber Risk: Recommendations For Identifying And Addressing Cybersecurity Challenges,
2022
Mineta Transportation Institute
Aligning The Transit Industry And Their Vendors In The Face Of Increasing Cyber Risk: Recommendations For Identifying And Addressing Cybersecurity Challenges, Scott Belcher, Terri Belcher, Kathryn Seckman, Brandon Thomas, Homayun Yaqub
Mineta Transportation Institute
Public transit agencies in the United States depend on external vendors to help deliver and maintain many essential services and to provide critical technologies, from ticket purchases to scheduling to email management. While the integration of new, advanced technologies into the public transit industry brings important advancements to U.S. critical transportation infrastructure, the application of digital technologies also brings with it a new assortment of digital risks. Transit agencies of all sizes are finding themselves subject to cyber incidents—most notably ransomware attacks—like those experienced by larger, more prominent companies and critical infrastructure providers. The findings in this report focus on …
Connected Simulation For Work Zone Safety Application,
2022
California State University, Long Beach
Connected Simulation For Work Zone Safety Application, Vahid Balali
Mineta Transportation Institute
Every year, over 60,000 work zone crashes are reported in the United States (FHWA 2016). Such work zone crashes have resulted in over 4,400 fatal and 200,000 non-fatal injuries in the last 5 years (FHWA 2016, BLS 2014). Apart from the physical and emotional trauma, the annual cost of these injuries exceeds $4 million-representing significant wasted resources. To improve work zone safety, this research developed a system architecture for unveiling high-risk behavioral patterns among highway workers, equipment operators, and drivers within dynamic highway work zones. This research implemented the use of a connected virtual environment, which is an immersive hyper-realistic …
Developing A Feasible Business Model For Expanding The Ev Market To Lower Income Californians,
2022
California State University, Fresno
Developing A Feasible Business Model For Expanding The Ev Market To Lower Income Californians, Samer Sarofim, Aly Tawfik
Mineta Transportation Institute
Electric vehicles (EVs) are a valuable tool in addressing the climate and energy challenges placed on our transportation systems. However, while national and international market shares of EVs have been rising with exponential rates, access to EVs of low-income populations has been significantly slower. This research developed a business model for expanding the EV market to low-income Californians. The team developed the model from qualitative data from various stakeholders, including Electric and Solar Companies, Professional and Community-Based Organizations, State Agencies, research institutions, and more, which enabled insights regarding various barriers that hinder the adoption of EVs. The team also used …
Biological Hydrogen Gas Production From Food Waste As A Sustainable Fuel For Future Transportation,
2022
California State University, Long Beach
Biological Hydrogen Gas Production From Food Waste As A Sustainable Fuel For Future Transportation, Pitiporn Asvapathanagul, Leanne Deocampo, Nicholas Banuelos
Mineta Transportation Institute
In the global search for the right alternative energy sources for a more sustainable future, hydrogen production has stood out as a strong contender. Hydrogen gas (H2) is well-known as one of the cleanest and most sustainable energy sources, one that mainly yields only water vapor as a byproduct. Additionally, H2 generates triple the amount of energy compared to hydrocarbon fuels. H2 can be synthesized from several technologies, but currently only 1% of H2 production is generated from biomass. Biological H2 production generated from anaerobic digestion is a fraction of the 1%. This study aims to enhance biological H2 production …
Analyzing The Use And Impacts Of Oakland Slow Streets And Potential Scalability Beyond Covid-19,
2022
San Jose State University
Analyzing The Use And Impacts Of Oakland Slow Streets And Potential Scalability Beyond Covid-19, Gordon Douglas, David Moore
Mineta Transportation Institute
This report presents the results of a mixed-methods study of the 2020-2022 Oakland Slow Streets program. An official response to the Covid-19 pandemic, the program used signs and temporary barricades to limit thru-traffic on 21 miles of city streets to create more and safer space for walking, cycling, and outdoor recreation. Researchers collected data throughout the summer of 2021 on seven designated slow streets plus one cross street and one control street for each – a total of 21 street segments representing conditions in seven different neighborhoods across Oakland. Data collection comprised in-person passerby counts, observations and photographs of local …
Manual For Asphalt Pavement Repair And Resurfacing Preparation,
2022
California State University, Chico
Manual For Asphalt Pavement Repair And Resurfacing Preparation, Dingxin Cheng, Gary Hicks, Roger D. Smith
Mineta Transportation Institute
Timely repairs of pavement defects are essential in protecting an important investment and asset that public agencies have. These repairs may be made as durable “stand-alone” repairs of isolated problems, or as part of preparations for a total resurfacing. This manual provides basic information on the planning, materials and construction aspects of common pavement repairs such as crack sealing, crack filling, and patching, as well as a broader look at other preparations needed for total resurfacing a pavement, whether the resurfacing is a surface treatment or a thin hot mix asphalt (HMA) overlay.
Blockchain And Distributed Autonomous Community Ecosystems: Opportunities To Democratize Finance And Delivery Of Transport, Housing, Urban Greening And Community Infrastructure,
2022
University of San Francisco
Blockchain And Distributed Autonomous Community Ecosystems: Opportunities To Democratize Finance And Delivery Of Transport, Housing, Urban Greening And Community Infrastructure, William Riggs, Vipul Vyas, Menka Sethi
Mineta Transportation Institute
This report investigates and develops specifications for using blockchain and distributed organizations to enable decentralized delivery and finance of urban infrastructure. The project explores use cases, including: providing urban greening, street or transit infrastructure; services for street beautification, cleaning and weed or graffiti abatement; potential ways of resource allocation ADU; permitting and land allocation; and homeless housing. It establishes a general process flow for this blockchain architecture, which involves: 1) the creation of blocks (transactions); 2) sending these blocks to nodes (users) on the network for an action (mining) and then validation that that action has taken place; and 3) …
Managing The Curb: Understanding The Impacts Of On-Demand Mobility On Public Transit, Micromobility, And Pedestrians,
2022
University of California, Berkeley
Managing The Curb: Understanding The Impacts Of On-Demand Mobility On Public Transit, Micromobility, And Pedestrians, Susan Shaheen, Elliot Martin, Adam Cohen, Jacquelyn Broader, Richard Davis
Mineta Transportation Institute
In recent years, innovative mobility and shifts in travel and consumption behavior are changing how people access and use the curb. Shared mobility—the shared use of a vehicle, bicycle, scooter, or other mode—coupled with outdoor dining, curbside pick-up, and robotic delivery are creating new needs related to the planning, management, and enforcement of curb access. This study examines curb planning and management from several angles, such as safety, social equity, and multimodal connections. This research employs a multi-method approach to identify the changing needs for curb space management and how to meet these needs through new planning and implementation policies …
Order Constraints In Optimal Transport,
2022
Singapore Management University
Order Constraints In Optimal Transport, Fabian Lim, Laura Wynter, Shiau Hong Lim
Research Collection School Of Computing and Information Systems
Optimal transport is a framework for comparing measures whereby a cost is incurred for transporting one measure to another. Recent works have aimed to improve optimal transport plans through the introduction of various forms of structure. We introduce novel order constraints into the optimal transport formulation to allow for the incorporation of structure. We define an efficient method for obtaining explainable solutions to the new formulation that scales far better than standard approaches. The theoretical properties of the method are provided. We demonstrate experimentally that order constraints improve explainability using the e-SNLI (Stanford Natural Language Inference) dataset that includes human-annotated …
Time Dependent Orienteering Problem With Time Windows And Service Time Dependent Profits,
2022
Singapore Management University
Time Dependent Orienteering Problem With Time Windows And Service Time Dependent Profits, M. Khodadadian, A. Divsalar, C. Verbeeck, Aldy Gunawan, P. Vansteenwegen
Research Collection School Of Computing and Information Systems
This paper addresses the time dependent orienteering problem with time windows and service time dependent profits (TDOPTW-STP). In the TDOPTW-STP, each vertex is assigned a minimum and a maximum service time and the profit collected at each vertex increases linearly with the service time. The goal is to maximize the total collected profit by determining a subset of vertices to be visited and assigning appropriate service time to each vertex, considering a given time budget and time windows. Moreover, travel times are dependent of the departure times. To solve this problem, a mixed integer linear model is formulated and a …
Predicting The Impact Of Covid-19 On Air Transportation Volumes,
2022
Embry-Riddle Aeronautical University
Predicting The Impact Of Covid-19 On Air Transportation Volumes, Dothang Truong
Publications
COVID-19 has significant impacts on air transportation. This paper aims to predict domestic and international transportation volumes during the pandemic. Daily trips by distance are novel variables in the prediction. Additionally, COVID-19 severity, vaccination, and economic index are other predictors. Artificial Neural Networks and Monte Carlo simulations were used to develop and validate the predictive models using data from various sources in 2021. The findings confirm the importance of daily trips by distance and vaccination as significant predictors. Airlines can use the models to predict air transportation volumes and formulate appropriate strategies to meet the air travel demand and improve …
Webinar: Scooting To Healthy And Safe Mode Choices,
2022
University of Arizona
Webinar: Scooting To Healthy And Safe Mode Choices, Kristina M. Currans, Nicole Iroz-Elardo, John Macarthur
TREC Webinar Series
Shared electric scooters (e-scooters) are fast becoming a mobility option in cities across the United States. This new micromobility mode has the potential to replace car usage for certain trips, which stands to have a positive impact on public health and sustainability goals. However, many aspects of this emerging mode are not well understood.This webinar explores the findings of three NITC studies examining transportation mode choices, safety, and public health outcomes of electric scooters.
Transportation Mode Choice Behavior In The Era Of Autonomous Vehicles: The Application Of Discrete Choice Modeling And Machine Learning,
2022
Portland State University
Transportation Mode Choice Behavior In The Era Of Autonomous Vehicles: The Application Of Discrete Choice Modeling And Machine Learning, Sangwan Lee
Dissertations and Theses
New mobility technologies, such as shared mobility services (e.g., car-sharing) and, more importantly, autonomous vehicles (AVs), continue to evolve. The supply-side advancement will likely disrupt and transform transportation mode choice behaviors, and create a new paradigm since they are emerging and becoming increasingly feasible alternatives to the existing modes of transportation. Accordingly, this dissertation employs discrete choice modeling (DCM) and machine learning (ML) using a U.S. nationwide stated choice experiment to understand how travelers adopt new transportation modes or continue to use conventional modes of transportation.
This dissertation consists of three papers. The first examines future market shares of each …
Regional Decision-Making In Oregon’S Area Commissions On Transportation,
2022
Portland State University
Regional Decision-Making In Oregon’S Area Commissions On Transportation, Cole P. Grisham
Hatfield Graduate Journal of Public Affairs
Long after other areas of Oregon had already done so, the local agencies in the Portland region served by the Oregon Department of Transportation decided to form a regional Area Commission on Transportation. Why they decided to do so and what caused local agencies to delay forming one until long after other regions was not immediately clear. In this article, I examine the policy documents around the formation of the Region 1 ACT and how its policy history represents wider historical trends on regional transportation decision making nationally. To do so, I describe Oregon’s regional policy making structure followed by …
Safety Interventions For Houseless Pedestrians,
2022
Portland State University
Safety Interventions For Houseless Pedestrians, Peter Domine, Sean Doyle, Asif Haque, Angie Martinez Sulvaran, Nick Meusch, Meisha Whyte
PSU Transportation Seminars
Cities across the U.S. are facing alarming increases in traffic fatalities, especially among the number of pedestrians who are struck and killed by drivers. Last year, 70 percent of all pedestrian fatalities in Portland were of people experiencing houselessness. As the Portland Bureau of Transportation (PBOT) is updating the city's Vision Zero Plan, a team of PSU urban and regional planning masters students have been investigating how to reduce the risk of being hit and killed specifically for unhoused people. During this presentation, the Street Perspective team will explain the situation, review their approach, and then share the recommendations they'll …
E-Scooters In Tucson, Az: Modeling Placement, Charging, And Rebalancing,
2022
University of Arizona
E-Scooters In Tucson, Az: Modeling Placement, Charging, And Rebalancing, Jianqiang Cheng
TREC Project Briefs
Are e-scooters just the first sign of a shared-mobility revolution? If they are, then researchers at the University of Arizona intend to make sure that the emerging transportation system has functional models on par with other modes of transportation. In 2018, approximately 100 U.S. cities had already launched shared e-scooter programs, accounting for 38.5 million trips. However, the models to manage e-scooter sharing are only recently being developed. In a project funded by the National Institute for Transportation and Communities (NITC) and led by Dr. Jianqiang Cheng, the research team set out to develop data-driven, decisionmaking models for shared-mobility system …
Assessing Public Health Benefits Of Replacing Freight Trucks With Cargo Cycles In Last Leg Delivery Trips In Urban Centers,
2022
San Jose State University
Assessing Public Health Benefits Of Replacing Freight Trucks With Cargo Cycles In Last Leg Delivery Trips In Urban Centers, Jennifer C. Hartle, Ossama (Sam) A. Elrahman, Cara Wang, Daniel A. Rodriguez, Yue Ding, Matt Mcgahan
Mineta Transportation Institute
Increased urbanization, population growth, and demand for time-sensitive deliveries means increased freight movement in cities, which contributes to emissions, noise, and safety concerns. One innovative mode gaining widespread attention for urban deliveries is cargo cycles—bicycles adapted for freight delivery. Despite the recognized potential and possible success of transporting at least 25% of freight via cycle, research remains limited. This research investigates the potential of cargo cycle delivery for last mile freight in Oakland, California, with a focus on the West Oakland neighborhood. The data collection included interviews, focus groups, vehicle field observation and counts, and traffic simulation modeling. The traffic …
Evaluation Of Sustainability Determinants To Develop A Sustainability Rating System For California Infrastructure Construction Projects,
2022
California State University, Long Beach
Evaluation Of Sustainability Determinants To Develop A Sustainability Rating System For California Infrastructure Construction Projects, Joseph Kim, Patricia Mccarthy
Mineta Transportation Institute
This study evaluates the important sustainability determinants that affect factors’ success in meeting their sustainability goals when conducting infrastructure construction projects in California. The study implemented the online survey method to evaluate the sustainability characteristics that infrastructure industry professionals currently are aware of under the current situation in California. A data set of 25 validated survey responses is used for statistical data analysis using analysis of variables, Kruskal-Wallis tests, and two sample t-tests. The analysis results showed that the median response values for the six major sustainability categories do not show any significant difference. The results also showed that no …
