Transportation Commons^™

Exploring Performance-Based Contracts: A Good Option To Address Long-Term Road Maintenance In California?, Maria Calahorra-Jimenez, Richard Poythress

Mineta Transportation Institute

Performance-based contracts (PBCs) used in road maintenance provide flexibility for considering new materials, design, and technology to achieve predetermined performance targets. Several states in the U.S. have already used these types of contracts in road maintenance, and their experience can inform the use of PBCs in California. The objectives of this research are twofold. First, identify the benefits and challenges of PBCs compared to traditional contracts. Second, explore the main aspects of PBCs implementation for road maintenance and relate them to California's context. To this end, deductive-inductive content analysis was conducted on 84 peer-reviewed articles published between 1998 and 2023. …

Mapping Of Pavement Conditions Using Smartphone/Tablet Lidar Case Study: Sensor Performance Comparison, Calvin Beavers, Chad Day, Austin Krietemeyer, Scott M. Peterson, Yushin Ahn, Xiaojun Li

Mineta Transportation Institute

Poor road conditions affect millions of drivers, and assessing the condition of paved surfaces is a critical step towards repairing them. This project explores the feasibility of using the Apple iPad Pro LiDAR sensor as a cost-effective tool for assessing the damage and condition of paved surfaces. Our research aims to provide accurate and precise measurements using readily available consumer devices and compare the results to state-of-the-art equipment. This investigation involved visual inspection, identification, and classification of pavement distresses, followed by a comparison of the iPad and iPhone LiDAR data with a survey-grade terrestrial laser scanner. The project revealed several …

Experimental Investigation Of The Self-Healing Potential Of Bacteria For Sustainable Concrete Structures Phase 2, Andrea Calabrese, Pitiporn Asvapathanagul, Nisarg N. Patel, Nanubala Dhruvan, Austin Adams, Michael Hernandez, Douglas S. Lopez-Cruz

Mineta Transportation Institute

Concrete is a critical component of so much of the modern construction industry. This material, well known for its versatility, robustness, longevity, and strength, is well-suited for a wide range of structural applications. Nonetheless, the widespread occurrence of cracks in concrete structures, primarily attributed to its limited tensile strength, shrinkage, and overstain, imposes a considerable economic and environmental challenge when it comes to retrofitting these fissures. This study tackles this problem by harnessing bacteria tolerant to high alkaline conditions to enable Microbially Induced Calcium Carbonate Precipitation (MICP) for the self-repair of concrete. This is achieved through an external application method, …

Spatio-Temporal Analysis Of The Roadside Transportation-Related Air Quality (Startraq 2022): Data-Driven Exposure Analysis By Transportation Modes, Jaymin Kwon, Yushin Ahn, Steve Chung

Mineta Transportation Institute

Particulate matter (PM) pollution poses significant health risks, influenced by various meteorological factors and seasonal variations. This study investigates the impact of temperature and other meteorological variables on PM10 and PM2.5 levels in Fresno County, known for high air pollution. Multiple linear regression (MLR) and generalized additive models (GAMs) assess the significance of these relationships. Analyzing data from Fresno County, we examine PM10 and PM2.5 levels across "hot" (June to August) and "cool" (September to May) seasons. Findings indicate PM10, both MLR and GAM models identify statistically significant variables, excluding temperature and wind direction in each season. However, during the …

Battery Management System Development For Electric Vehicles And Fast Charging Infrastructure Improvement, Yu Yang, Hen-Geul Yeh, Cesar Ortiz

Mineta Transportation Institute

The electric vehicle (EV) has become increasingly popular due to its being zero-emission. However, a significant challenge faced by EV drivers is the range anxiety associated with battery usage. Addressing this concern, this project develops a more efficient battery management system (BMS) for electric vehicles based on a real-time, state-of-charge (SOC) estimation. The proposed study delivers three modules: (1) a new equivalent circuit model (ECM) for lithium-ion batteries, (2) a new SOC estimator based on the moving horizon method, and (3) an on-board FPGA implementation of the classical Coulomb counting method for SOC estimation. The research team extends the traditional …

Privacy-Preserving Arbitrary Geometric Range Query In Mobile Internet Of Vehicles, Yinbin Miao, Lin Song, Xinghua Li, Hongwei Li, Kim-Kwang Raymond Choo, Robert H. Deng

Research Collection School Of Computing and Information Systems

The mobile Internet of Vehicles (IoVs) has great potential for intelligent transportation, and creates spatial data query demands to realize the value of data. Outsourcing spatial data to a cloud server eliminates the need for local computation and storage, but it leads to data security and privacy threats caused by untrusted third-parties. Existing privacy-preserving spatial range query solutions based on Homomorphic Encryption (HE) have been developed to increase security. However, in the single server model, the private key is held by the query user, which incurs high computation and communication burdens on query users due to multiple rounds of interactions. …

Reinforcement Learning For Strategic Airport Slot Scheduling: Analysis Of State Observations And Reward Designs, Anh Nguyen-Duy, Duc-Thinh Pham, Jian-Yi Lye, Nguyen Binh Duong Ta

Research Collection School Of Computing and Information Systems

Due to the NP-hard nature, the strategic airport slot scheduling problem is calling for exploring sub-optimal approaches, such as heuristics and learning-based approaches. Moreover, the continuous increase in air traffic demand requires approaches that can work well in new scenarios. While heuristics rely on a fixed set of rules, which limits the ability to explore new solutions, Reinforcement Learning offers a versatile framework to automate the search and generalize to unseen scenarios. Finding a suitable state observation and reward structure design is essential in using Reinforcement Learning. In this paper, we investigate the impact of providing the Reinforcement Learning agent …

Fine-Grained Passenger Load Prediction Inside Metro Network Via Smart Card Data, Xiancai Tian, Chen Zhang, Baihua Zheng

Research Collection School Of Computing and Information Systems

Metro system serves as the backbone for urban public transportation. Accurate passenger load prediction for the metro system plays a crucial role in metro service quality improvement, such as helping operators schedule train timetables and passengers plan their trips. However, existing works can only predict low-grained passenger flows of origin-destination (O-D) paths or inflows/outflows of each station but cannot predict passenger load distribution over the whole metro network. To this end, this paper proposes an end-to-end inference framework, PIPE, for passenger load prediction of every metro segment between two adjacent stations, by only utilizing smart card data. In particular, PIPE …

Adopt: An Environmentally-Friendly System For Alerting Drivers To Occluded Pedestrians Traffic, Abrar Abdulrahman Alali

Computer Science Theses & Dissertations

The emergence of sensing technologies and vehicular communications has brought significant opportunities for enhancing pedestrian safety on city streets. However, existing solutions rely on costly technologies such as computer vision and trajectory prediction to detect crossing pedestrians, while they have limits in detecting pedestrians who are occluded by parked cars. Despite the presence of collaborative perception by surrounding vehicles and infrastructure, there is a notable absence of incorporating existing parked cars themselves due to their insufficiency in detecting pedestrians and communicating with other cars while they are turned off. Furthermore, accommodating pedestrians on streets has been linked to an additional …

Webinar: Building Capacity In Gateway Communities Through The Gnar Academy, Jordan Katcher, Elizabeth Sodja

TREC Webinar Series

Small towns and cities near national parks, public lands, and other natural amenities across the West are experiencing rapid growth and increased tourism. As we have documented via our prior NITC-funded research, this has created a range of big city challenges for these “gateway communities,” particularly in the form of interconnected transportation, land use, and housing issues. Seeking to help gateway communities better prepare for and respond to their transportation and planning challenges, the Gateway and Natural Amenity Region (GNAR) Initiative team translated the findings from our research on planning and development challenges in gateway communities into an online learning …

Wasted Space: Using Parking Lots & Vacant Land To Improve Neighborhood Completeness, Ryan Martyn

Hatfield Graduate Journal of Public Affairs

This study conducts a spatial analysis of Portland, Oregon, focusing on leveraging underutilized areas like parking lots and vacant land—termed "wasted space"—to improve the city's completeness. Central to this investigation is the concept of a "complete neighborhood," characterized by access to daily necessities within convenient active transportation trip. This comprehensive idea encompasses walkability, equitable access to services, and sustainability.

This paper aims to redefine the concept of a complete neighborhood with precision and delve into its implications. The research looks at five regional, town, and neighborhood centers as defined by the city of Portland. These centers act as pivotal hubs …

Power To The Pedal: Assessing Barriers To Adoption Of Closed-Access Bike Share In Low-Income Communities, Jordan Del Valle Tonoian

University Honors Theses

Power to the Pedal is a fare-free, closed-access e-bike share program, operating more similarly to a lending library. The program aims to provide two low-income communities access to a reliable, low-emissions, electric assisted, active transportation option. The research conducted aimed to identify barriers faced by the community to adopting the bike sharing program. A survey and interviews conducted found that infrastructure, safety, cargo, financial ability, household structure, health, and culture all play a role when deciding when to use the program. Several recommendations are made to the program owner, operator, and other stakeholders both about improving the program directly, and …

Hillsboro: Bike And Pedestrian Implementation Recommended Strategy, Maddy Poehlein, Chris Corral, Sierra Willems, Ciara Williams, Lise Ferguson, Shane Seaman

Master of Urban and Regional Planning Workshop Projects

This project presents a contextualized Bike and Pedestrian Implementation Strategy for the City of Hillsboro. The goal was to develop an actionable approach to expand and improve the City’s active transportation network. The strategy incorporates 23 criteria for project selection informed by existing conditions and the City’s priorities. Finally, the report culminates with a recommended implementation approach using two top scoring projects as examples.

Future Sandy: A Multimodal Transportation Plan, Afroza Hossain Misty, Anchal Erachankandy Cheruvari, Holly Querin, Katelyn Dendas, Symeon Walker

Master of Urban and Regional Planning Workshop Projects

Coming soon.

Examining Transit Service Improvements With Internet-Of-Things (Iot): A Disparity Analysis, Shailesh Chandra, Robert Valencia, Vamsi Krishna Oruganti

Mineta Transportation Institute

Literature shows that poor service reliability of transit often leads to uncertain waiting times at transit stations, diminishing their popularity and usage, and this particularly affects low-income populations more likely to rely heavily on transit. This research delves into an in-depth analysis of the inequality assessment of the Los Angeles (LA) Metro Rail lines, with a particular focus on evaluating the potential impacts of integrating Internet of Things (IoT) technology. This study investigates how IoT could influence service connectivity, accessibility, and the existing disparities in transit services. The primary goal of this study is to assess how the implementation of …

Smart Robot Design And Implementation To Assist Pedestrian Road Crossing, Hovannes Kulhandjian

Mineta Transportation Institute

This research focuses on designing and developing a smart robot to assist pedestrians with road crossings. Pedestrian safety is a major concern, as highlighted by the high annual rates of fatalities and injuries. In 2020, the United States recorded 6,516 pedestrian fatalities and approximately 55,000 injuries, with children under 16 being especially vulnerable. This project aims to address this need by offering an innovative solution that prioritizes real-time detection and intelligent decision-making at intersections. Unlike existing studies that rely on traffic light infrastructure, our approach accurately identifies both vehicles and pedestrians at intersections, creating a comprehensive safety system. Our strategy …

Fresno County Afterschool Transportation Education, Christian Wandeler, Felipe Mercado

Mineta Transportation Institute

Transportation is a critical infrastructure, and K–12 students benefit from understanding the industry and how it impacts their lives. This comprehensive report investigates the landscape of transportation education via the lens of the Madera Unified School District's afterschool programs, thus highlighting its crucial role in shaping the futures of students and, consequently, society. It further explores the substantial enhancements in learning, career readiness, and societal awareness that can be achieved through the strategic incorporation of transportation concepts into K–12 education, augmented by the support of afterschool programs and online educational technologies. The study tackles challenges and explores ways to make …

Network-Based Representations And Dynamic Discrete Choice Models For Multiple Discrete Choice Analysis, Huy Hung Tran, Tien Mai

Research Collection School Of Computing and Information Systems

In many choice modeling applications, consumer demand is frequently characterized as multiple discrete, which means that consumer choose multiple items simultaneously. The analysis and prediction of consumer behavior in multiple discrete choice situations pose several challenges. In this paper, to address this, we propose a random utility maximization (RUM) based model that considers each subset of choice alternatives as a composite alternative, where individuals choose a subset according to the RUM framework. While this approach offers a natural and intuitive modeling approach for multiple-choice analysis, the large number of subsets of choices in the formulation makes its estimation and application …

Streets Are For People! Livable Streets 2.0 And Five Decades Of The Conflict, Power And Promise Of Our Streets, Bruce Appleyard

PSU Transportation Seminars

Streets constitute the majority of our urban public spaces, yet we struggle everyday with how they should be designed and operated for travel, safety, and livability. In 1969, when Dr. Bruce Appleyard was 4 years old, he was hit by a car and nearly killed. Around that time his father, Donald Appleyard, started work on what would become Livable Streets, published in 1981 – a ground-breaking and seminal work, the product of more than a decade of rigorous research and thoughtful analysis that would uncover the ill effects of traffic and laying out the seminal arguments that streets are for …

The Central Role Of Perceived Safety In Connecting Crash Risk Factors And Walking Behavior, Kyu Ri Kim

Dissertations and Theses

Despite advanced policies, plans, and facilities, many pedestrians are still injured and killed in traffic crashes in the United States. To improve pedestrian safety and the walking environment, the relationship between surrounding crash risk factors and perceived safety that influence people's behavior needs to be studied. This study aims to examine pedestrian crash risk factors, the relationship between crash risk factors and perceived safety, measured as threatened experiences and safety attitudes, and the relationship between safety attitudes and walking behavior.

The analysis used data from three primary sources: (1) an original survey of 551 residents in 10 neighborhoods in Oregon …