Transportation Commons^™

Incomplete Streets, Michael Lewyn

Scholarly Works

Over 1700 complete streets policies have been adopted by state and local government; these policies typically provide that streets shall be designed to benefit all users, not just motorists. This article analyzes some complete streets policies, and concludes that even above-average policies are often too vague and underfunded to significantly change the status quo. The article suggests a variety of reforms that might make complete streets policies more effective.

Cooperative Trucks And Drones For Rural Last-Mile Delivery With Steep Roads, Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao

Research Collection School Of Computing and Information Systems

The cooperative delivery of trucks and drones promises considerable advantages in delivery efficiency and environmental friendliness over pure fossil fuel fleets. As the prosperity of rural B2C e-commerce grows, this study intends to explore the prospect of this cooperation mode for rural last-mile delivery by developing a green vehicle routing problem with drones that considers the presence of steep roads (GVRPD-SR). Realistic energy consumption calculations for trucks and drones that both consider the impacts of general factors and steep roads are incorporated into the GVRPD-SR model, and the objective is to minimize the total energy consumption. To solve the proposed …

Assessing The Burden Of An Excessive Sms Size On The Effective Implementation Of The Ism Code, Li An Xian

World Maritime University Dissertations

No abstract provided.

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Decoding Usage And Adoption Behavior Of The Low-Carbon Transportation Market: An Ai-Driven Exploration, Vuban Chowdhury

Graduate Theses and Dissertations

The transportation sector stands as a significant contributor to greenhouse gas emissions in the United States, with its environmental impact steadily escalating over the past few decades. This has prompted government agencies to facilitate the adoption and usage of low-carbon transportation (LCT) options as alternatives to fossil-fuel-powered transportation. LCTs include modes of transportation that minimize the overall carbon footprint of the transportation sector by relying on energy sources that are environmentally sustainable. These sustainable transportation options have also garnered significant interest in the transportation research community. For government agencies and researchers alike, a comprehensive understanding of the adoption and usage …

Exploring Traffic Speed Patterns For The Implementation Of Variable Speed Limit (Vsl) Signs, Panick Kalambay, Srinivas Pulugurtha

Mineta Transportation Institute

Traffic congestion is a prevalent issue during peak travel hours on roads in the United States. This study focuses on identifying suitable road links in Charlotte, North Carolina, for implementing variable speed limit (VSL) signs. Real-world traffic speed data collected over one year was analyzed to identify specific road links with favorable characteristics for VSL sign installations. The analysis considered weekdays, weekends, and specific times of the day to capture variations in speed patterns. The results revealed that roads with lower speed limits consistently experienced speeds exceeding the posted speed limits, suggesting additional enforcement or safety measures. For roads with …

Autonomous Shuttle Implementation And Best Practices, Dil Samina Diba, Ninad Gore, Srinivas S. Pulugurtha

Mineta Transportation Institute

When, where, and how autonomous shuttles are deployed can have significant safety, economic, and policy impacts on their operation and performance. This research analyzes data related to 120 existing deployments of autonomous shuttles, looking at safety, operational, economic, and policy-related issues. Analysis shows that autonomous shuttles would be an excellent supplement to public transportation. However, improvements to the vehicle and the infrastructure are needed before any permanent deployment. The study also analyzes the perceptions of practitioners, industry experts, and transportation system users toward autonomous shuttles. Principal Component Analysis (PCA) and Multiple Input Multiple Cause Structural Equation Modelling (SEM) approaches were …

Evaluating Benefits From Transportation Investments Aligned With The Climate Action Plan For Transportation Infrastructure (Capti), Serena Alexander, Shams Tanvir, T. William Lester

Mineta Transportation Institute

Building upon two executive orders targeting the mitigation of greenhouse gas (GHG) emissions in California, the Climate Action Plan for Transportation Infrastructure (CAPTI) offers a comprehensive plan to work toward a more unified vision for transportation that prioritizes climate, health, and social equity. The purpose of this project was to help evaluate the benefits from transportation investments across the State of California. With support from Caltrans, the research team provided a holistic evaluation framework that involved an analysis of vehicle miles traveled (VMT) and emissions impacts, an economic impact analysis, and an equity analysis of transportation investments in California. Findings …

Scooting To A Brighter Tomorrow: Shared E-Scooters And Their Use In Lincoln, Nebraska, Tanner J. Hiemer

Community and Regional Planning Program: Theses

As a recent addition to our transportation systems, shared e-scooters have the potential to improve how people travel in the urban environment. While there is a lot to be hopeful about, the relative novelty of e-scooters calls for closer examination of how they interact with the built environment and other modes of transportation. Additionally, the equity of shared e-scooters must be at the forefront of discussion when considering their utility in the future. Given their flexibility in use, e-scooters could fill spatial gaps in transportation systems and provide improved mobility to those who are most transportation disadvantaged. This research aims …

Driving The Future: Intersection Of Emerging Transportation Technologies And Energy Consumption, Tanmoy Bhowmik

PSU Transportation Seminars

The world of transportation is in a constant state of evolution, with emerging technologies offering greater efficiency and safety in our daily lives. However, these innovations at the same time also have far-reaching impacts on energy sectors. The rise of electric and autonomous vehicles is set to quickly transform the residential energy consumption pattern. A critical question to consider is: “How can we ensure that our energy infrastructure is ready to meet the changing demands”. To adequately prepare for this transformation, this study attempted to gain insight into the future energy pattern under different scenarios.

Learning About Street Harassment On Transit: A Survey Instrument For Transit Agencies, Asha Weinstein Agrawal, Jon Canapary, Carol Anne Caroll, Tam J. Guy, Anastasia Loukaitou-Sideris

Mineta Transportation Institute

This study was conducted in accordance with California Senate Bill 1161 (2022), legislation that directed the Mineta Transportation Institute to develop a reliable, easy-to-use survey instrument for collecting information from public transit passengers about the extent, location, and characteristics of any street harassment they experience. Although the legislation is focused on large California transit agencies, the study findings are equally relevant to smaller agencies and agencies outside the state. To develop the recommended questionnaire, we reviewed literature about street harassment, analyzed transit passenger surveys to explore the questions asked about safety and harassment, received feedback on iterative drafts of the …

Deep Learning, Machine Learning, Or Statistical Models For Weather-Related Crash Severity Prediction, Abimbola Ogungbire, Panick Kalambay, Hardik Gajera, Srinivas S. Pulugurtha

Mineta Transportation Institute

Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incidents each year. Assessments of the effectiveness of statistical models applied to crash severity prediction compared to machine learning (ML) and deep learning techniques (DL) help researchers and practitioners know what models are most effective under specific conditions. Given the class imbalance in crash data, the synthetic minority over-sampling technique for nominal (SMOTE-N) data was employed to generate synthetic samples for the minority class. The ordered logit model (OLM) and the ordered probit model (OPM) were evaluated as statistical models, while random forest (RF) and XGBoost …

Analysis Of Travel Behavior At International Border Crossings: Application Of Travel Surveys, Jennifer Areli Moreno Escamilla

Open Access Theses & Dissertations

Transportation planning provides an insight into the demand and traffic distribution of existingconditions of a region and helps identify future transportation needs. The results generated from forecasting models influence many decisions on the selection of transportation projects and funding allocations. Thus, forecasting models require up-to-date trip information to represent trip patterns and generate representative traffic demand analysis in a such complex areas as binational regions. The purpose of this study is to provide an analysis on travel survey methodology applied to collect trip information at international border crossings. Based on the results of the survey, an analysis on trip pattern …

Neural Airport Ground Handling, Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang

Research Collection School Of Computing and Information Systems

Airport ground handling (AGH) offers necessary operations to flights during their turnarounds and is of great importance to the efficiency of airport management and the economics of aviation. Such a problem involves the interplay among the operations that leads to NP-hard problems with complex constraints. Hence, existing methods for AGH are usually designed with massive domain knowledge but still fail to yield high-quality solutions efficiently. In this paper, we aim to enhance the solution quality and computation efficiency for solving AGH. Particularly, we first model AGH as a multiple-fleet vehicle routing problem (VRP) with miscellaneous constraints including precedence, time windows, …

Influence Of Pavement Conditions On Commercial Motor Vehicle Crashes, Stephen Arhin, Babin Manandhar, Adam Gatiba

Mineta Transportation Institute

Commercial motor vehicle (CMV) safety is a major concern in the United States, including the District of Columbia (DC), where CMVs make up 15% of traffic. This research uses a comprehensive approach, combining statistical analysis and machine learning techniques, to investigate the impact of road pavement conditions on CMV accidents. The study integrates traffic crash data from the Traffic Accident Reporting and Analysis Systems Version 2.0 (TARAS2) database with pavement condition data provided by the District Department of Transportation (DDOT). Data spanning from 2016 to 2020 was collected and analyzed, focusing on CMV routes in DC. The analysis employs binary …

Understanding The Effect Of Pervasive Events On Vehicle Travel Time Patterns, Chirag Akbari, Ninad Gore, Srinivas S. Pulugurtha

Mineta Transportation Institute

The COVID-19 pandemic has disrupted daily activities and travel patterns, affecting personal and commercial trips. This study investigates the effect of different stages of the pandemic on travel time patterns. Eighty-six geographically distributed links (sections of road) in Mecklenburg County and Buncombe County, North Carolina, were selected for analysis. The selected links accounted for the variation in road geometry, land use, and speed limit. Travel time data for three years (i.e., 2019, 2020, and 2021) were extracted from a private data source at 5-min intervals. Travel time reliability (TTR) and travel time variability (TTV) are estimated for different phases of …

Cycling Past 50: A Closer Look Into The World Of Older Cyclists, Year 4 Survey, Carol Kachadoorian

Mineta Transportation Institute

This document reports on approximately 5,000 responses to a North American survey of older adults who cycle. The survey, open from August 2021 through March 2022, included questions that captured a person’s cycling over their life course, as well as their current cycling styles, habits, and preferences. Responses reflect the impact of various factors on an older adult’s cycling habits with respect to their ability and agility and their expectation to continue cycling. The survey asked about falls and near misses in the past-year coding fall descriptions into six categories and sorting them by the respondent’s gender and age. The …

Sc-Fuse: A Feature Fusion Approach For Unpaved Road Detection From Remotely Sensed Images, Aniruddh Saxena

School of Computing: Dissertations, Theses, and Student Research

Road network extraction from remote sensing imagery is crucial for numerous applications, ranging from autonomous navigation to urban and rural planning. A particularly challenging aspect is the detection of unpaved roads, often underrepresented in research and data. These roads display variability in texture, width, shape, and surroundings, making their detection quite complex. This thesis addresses these challenges by creating a specialized dataset and introducing the SC-Fuse model.

Our custom dataset comprises high resolution remote sensing imagery which primarily targets unpaved roads of the American Midwest. To capture the diverse seasonal variation and their impact, the dataset includes images from different …

Forecasting Traffic Speed During Daytime From Google Street View Images Using Deep Learning, Junfeng Jiao, Huihai Wang

Research Collection College of Integrative Studies

Traffic forecasting plays an important role in urban planning. Deep learning methods outperform traditional traffic flow forecasting models because of their ability to capture spatiotemporal characteristics of traffic conditions. However, these methods require high-quality historical traffic data, which can be both difficult to acquire and non-comprehensive, making it hard to predict traffic flows at the city scale. To resolve this problem, we implemented a deep learning method, SceneGCN, to forecast traffic speed at the city scale. The model involves two steps: firstly, scene features are extracted from Google Street View (GSV) images for each road segment using pretrained Resnet18 models. …

Investigating The Effects Of An Island, And A Speed Sign Gateway To Decrease Driver Speeding, Louai Al Shomaly

Masters Theses

There are thousands of motor vehicle crashes every year, and the yearly cost of crashes is estimated to be $430 billion dollars (National Highway Traffic Safety Administration). Twenty-eight percent of fatal related crashes in 2020 involve at least one driver speeding (CDC 2020). The application of a behavior analysis approach can be employed to reduce speeding and thereby decrease crashes. One way to reduce driver speeding behavior is the use of prompts. Van Houten and Van Houten (1987) and Van Houten et al. (2018) demonstrated the cost effectiveness approach of using prompts to decrease driver speeding at speed zones and …