Transportation Commons^™

Deep Reinforcement Learning Approach To Solve Dynamic Vehicle Routing Problem With Stochastic Customers, Waldy Joe, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

In real-world urban logistics operations, changes to the routes and tasks occur in response to dynamic events. To ensure customers’ demands are met, planners need to make these changes quickly (sometimes instantaneously). This paper proposes the formulation of a dynamic vehicle routing problem with time windows and both known and stochastic customers as a route-based Markov Decision Process. We propose a solution approach that combines Deep Reinforcement Learning (specifically neural networks-based TemporalDifference learning with experience replay) to approximate the value function and a routing heuristic based on Simulated Annealing, called DRLSA. Our approach enables optimized re-routing decision to be generated …

Non-Conventional Vehicles As A Way Towards Carbon Neutrality In Iceland, Julia Sokolowska

Independent Study Project (ISP) Collection

Paris Agreement’s chief objective is to protect the Earth and its inhabitants from a point of no return, when the effects of climate change will be so intense that they will shift the equilibrium of ecosystems. The distinctiveness of this international environmental treaty is that it does not impose climate change mitigation measures, but rather allows nation states to create their own set of measures, the NDCs, to reach the global warming of ‘well below 2oC’ by the end of the century. Thus, Iceland has submitted its own NDC, the Climate Action Plan 2018-2030, which has an ambitious goal of …

Promoting Transit-Oriented Developments By Addressing Barriers Related To Land Use, Zoning, And Value Capture, Shishir Mathur, Aaron Gatdula

Mineta Transportation Institute

This study advances land use, transportation planning, and public finance research by identifying: a) the various land use, zoning, and value capture-related barriers to the construction of transit-oriented developments (TODs); and b) the major strategies that are commonly used or could be used to address these barriers. The value capture (VC) tools include joint development projects, tax increment financing, special assessments, lease/sale of land or air rights, and impact fees. The research finds that while a large proportion of jurisdictions across the US have TODs, land use, zoning, and VC-related barriers often impede their construction. Most transit agencies are not …

Impact Of Regular And Narrow Av-Exclusive Lanes On Manual Driver Behavior, Sahar Ghanipoor Machiani, Aryan Sohrabi, Arash Jahangiri

Mineta Transportation Institute

This study attempts to answer the question of how a narrow (9-ft) lane dedicated to Automated Vehicles (AVs) would affect the behavior of drivers in the adjacent lane to the right. To this end, a custom driving simulator environment was designed mimicking the Interstate 15 smart corridor in San Diego. A group of participants was assigned to drive next to the simulated 9-ft narrow lane while a control group was assigned to drive next to a regular 12-ft AV lane. Driver behavior was analyzed by measuring the mean lane position, mean speed, and mental effort (self-reported/subjective measure). In addition to …

Traffic Scorecard In Mountain West Cities, Kelliann Beavers, Eshaan Vakil, Katie M. Gilbertson, Caitlin J. Saladino, William E. Brown Jr.

Transportation & Infrastructure

This fact sheet presents congestion and mobility trends in 14 Mountain West cities as compiled by INRIX Research and author Trevor Reed, in the Global Traffic Scorecard, March 2020. The INRIX Global Traffic Scorecard examines the impact of vehicle travel on 975 congested cities in the world; this fact sheet focuses on the Mountain West, providing insight on the ranking and impacts of congestion. This fact sheet also supplements INRIX’s scorecard with population data from the U.S. Census Bureau to provide context for the rankings.

Webinar: A National Scan Of Bike Share Equity Programs: Best Practices And Lessons Learned, Nathan Mcneil, John Macarthur, Adriel Thornton

TREC Webinar Series

Connecting with cities and bike share operators from across the United States, Portland State University conducted a nationwide scan on what programs and initiatives were running to address equity in bike share. The report “National Scan of Bike Share Equity Programs” documents responses from over 70 bike share systems. This resource will help cities and operators navigate the range of actions that have been implemented to make bike share systems more equitable, examine successful strategies employed across the U.S., and understand how those successes (and challenges) are being measured and articulated. In doing so, we hope the report helps bike …

Comparing The Promise And Reality Of E-Scooters: A Critical Assessment Of Equity Improvements And Mode-Shift, Michael Glenn Mcqueen

Dissertations and Theses

In just three years, e-scooters have substantially disrupted and altered the urban mobility landscape. Throughout this period, they have been commonly touted as part of a larger micromobility solution that promises to erase equity barriers and solve the first-mile/last-mile problem. However, few studies in the nascent e-scooter literature have considered these claims. In this study, we surveyed students at Portland State University (n = 1,968) about the role that e-scooters, among other modes, played in meeting their general and university-related travel needs. We then estimated models that incorporated demographics, travel behavior, and latent attitudes distilled using exploratory factor analysis (EFA). …

The Potential Of Green Infrastructure In Mitigating Flood Impacts On The Mobility Of Low Income And Minority Neighborhoods, Courtney Crosson, Yinan Zhang, Daoqin Tong

TREC Project Briefs

Short-term flooding from extreme storm events poses a serious transportation challenge in U.S. cities. This problem—which is anticipated to grow over the next century with our global climate crisis—is often hardest on vulnerable populations, including low-income and minority neighborhoods. This project advances national research methods for assessing flood vulnerability and prioritizing transportation improvement investments to ensure that no community is left stranded when the next flood occurs.

Zone Path Construction (Zac) Based Approaches For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

Research Collection School Of Computing and Information Systems

Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare have become hugely popular as they reduce the costs for customers, improve per trip revenue for drivers and reduce traffic on the roads by grouping customers with similar itineraries. The key challenge in these systems is to group the "right" requests to travel together in the "right" available vehicles in real-time, so that the objective (e.g., requests served, revenue or delay) is optimized. This challenge has been addressed in existing work by: (i) generating as many relevant feasible (with respect to the available delay for customers) combinations of requests as possible …

Urban Transportation System Flood Vulnerability Assessment With Special Reference To Low Income And Minority Neighborhoods, Courtney Crosson, Daoqin Tong, Yinan Zhang

TREC Final Reports

A flood vulnerability assessment of the City of Tucson, Arizona’s transportation systems was conducted with special reference to low-income and minority neighborhoods. Short-term flooding from extreme storm events pose a serious challenge to transportation system reliability and emergency response in cities across the United States. This problem, which is anticipated to grow over the next century due to climate change, is often hardest on vulnerable populations, including low-income and minority neighborhoods. Our work aimed to advance national research methods for assessing multi-modal transportation degradation due to flooding. We identified priority locations for Tucson to make transportation improvement investments for the …

Bus Frequency Optimization: When Waiting Time Matters In User Satisfaction, Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng

Research Collection School Of Computing and Information Systems

Reorganizing bus frequency to cater for the actual travel demand can save the cost of the public transport system significantly. Many, if not all, existing studies formulate this as a bus frequency optimization problem which tries to minimize passengers’ average waiting time. However, many investigations have confirmed that the user satisfaction drops faster as the waiting time increases. Consequently, this paper studies the bus frequency optimization problem considering the user satisfaction. Specifically, for the first time to our best knowledge, we study how to schedule the buses such that the total number of passengers who could receive their bus services …

Data And Information As Our New Transport Infrastructure: An Exploration Into How The Modern Transport System Is Being Shaped By Information Communication Technology, Adam Davidson

Dissertations, Theses, and Capstone Projects

This dissertation is focuses on the role that data and information has in creating and altering behavior related to transportation. To do so, it lays out a theoretical model of technological transition and then follows it up with three case studies. The theoretical model provides a structure to consider how different actors in our transportation ecosystem – users, firms, policy actors – mix with technological evolution to uphold or incrementally recreate our transportation landscape. The case studies stand on their own to highlight important findings about how data and information are impacting transportation scenarios, but collectively reinforce the theoretical models. …

Pricing And Equilibrium In On-Demand Ride-Pooling Markets, Jintao Ke, Hai Yang, Xinwei Li, Hai Wang, Jieping Ye

Research Collection School Of Computing and Information Systems

With the recent rapid growth of technology-enabled mobility services, ride-sourcing platforms, such as Uber and DiDi, have launched commercial on-demand ride-pooling programs that allow drivers to serve more than one passenger request in each ride. Without requiring the prearrangement of trip schedules, these programs match on-demand passenger requests with vehicles that have vacant seats. Ride-pooling programs are expected to offer benefits for both individual passengers in the form of cost savings and for society in the form of traffic alleviation and emission reduction. In addition to some exogenous variables and environments for ride-sourcing market, such as city size and population …

A Micro-Scale Analysis Of Cycling Demand, Safety, And Network Quality, Sherry Ryan, Ana Garate, Diane Foote

Mineta Transportation Institute

This research uses a unique database of cycling volumes from the San Diego region to estimate cycling demand and cycling collision models. Continuous cycling count data collected from 34 automated counters are used to extrapolate over 1,400 short duration counts to average annual daily bicycle volumes (AADB). Network characteristics, built environment, and socio-economic characteristics are primary independent variables employed in the modeling. A key contribution of this research is to incorporate both a whole-network measure (betweenness centrality) and a network quality measure (LTS) in estimating cycling volumes. This research also improves upon cycling risk assessment by using more rigorous exposure …

Measuring Success For Safe Routes To School Programs, Carole Turley Voulgaris, Serena Alexander, Reyahne Hosseinzade, James Jimenez, Katherine Lee, Anurag Pande

Mineta Transportation Institute

Safe Routes to School (SRTS) programs aim to increase the share of students who commute to school by active modes (e.g., walking and cycling). The goal of this work was to assess the effectiveness of SRTS programs. Towards that end, we analyzed the California Household Travel Survey (CHTS) data from the four counties in the San Francisco Bay area. We estimated logistic regression model(s) to predict the likelihood that a child commutes to school by active modes based on the presence of an SRTS program and controlling for individual, household, and tract characteristics. Findings indicate that longer trip distance and …

Is The Transit Industry Prepared For The Cyber Revolution? Policy Recommendations To Enhance Surface Transit Cyber Preparedness, Scott Belcher, Terri Belcher, Eric Greenwald, Brandon Thomas

Mineta Transportation Institute

The intent of this study is to assess the readiness, resourcing, and structure of public transit agencies to identify, protect from, detect, respond to, and recover from cybersecurity vulnerabilities and threats. Given the multitude of connected devices already in use by the transit industry and the vast amount of data generated (with more coming online soon), the transit industry is vulnerable to malicious cyber-attack and other cybersecurity-related threats. This study reviews the state of best cybersecurity practices in public surface transit; outlines U.S. public surface transit operators’ cybersecurity operations; assesses U.S. policy on cybersecurity in public surface transportation; and provides …

Automatic Traffic Monitoring And Management For Pedestrian And Cyclist Safety Using Deep Learning And Artificial Intelligence, Mohammad Pourhomayoun

Mineta Transportation Institute

In this project, we have designed and developed an effective end-to-end system based on advanced Artificial Intelligence (AI), machine learning, and computer vision to automatically monitor, detect, track, and count pedestrians and bicyclists. The main objective of this project is to improve the safety of pedestrians and bicyclists, by applying self-sensed and AI-powered systems to monitor and control the flow of pedestrians/bicyclists. The developed system includes algorithms for detecting the pedestrians and bicyclists, as well as algorithms for tracking and counting the pedestrians. We evaluated the developed system on real videos captured by actual traffic cameras in the city of …

Characteristics Of Effective Metropolitan Areawide Public Transit: A Comparison Of European, Canadian, And Australian Case Studies, Michelle Derobertis, Christopher E. Ferrell, Richard W. Lee, John M. Eells

Mineta Transportation Institute

This research project investigates the replicable characteristics, policies, and practices of successful metropolitan areawide public transportation networks that contribute to high usage and make transit an effective competitor to the private motor vehicle. The research method involves the qualitative and quantitative analysis of ten international (non-U.S.) case studies. The principal methods employed were web-based research and data collection, as well as telephone interviews with transit agency staff or regional planners as needed. The case studies were limited to developed western countries with similar metropolitan conditions to those in the United States.

This research focuses on key characteristics of highly effective …

Analysis Of The Benefits Of Green Streets, Christopher E. Ferrell, John M. Eells, Richard W. Lee, Reyhane Hosseinzade

Mineta Transportation Institute

Green streets offer many potential benefits that include improving water quality, absorbing carbon (sequestration), and reducing urban heat island effects. This report summarizes: (1) the research team’s analysis of 14 tools calculating green streets benefits; and (2) the results of applying the most promising calculators to a select group of green streets case studies. The researchers are affiliated with the Mineta Transportation Institute, which serves the California Department of Transportation (“Caltrans”). The report presents the results of the case study analyses, with an emphasis on carbon sequestration benefits and improvements to pedestrian levels of service (PLOS).

Trees absorb carbon dioxide …

Will Ride-Hailing Enhance Mobility For Older Adults? A California Survey, Asha Weinstein Agrawal, Manish Shirgaokar, Aditi Misra, Martin Wachs, Bonnie Dobbs

Mineta Transportation Institute

Ride-hailing services such as Lyft and Uber offer a potential mobility option for the growing numbers of aging Californians who risk social and economic isolation if they cannot drive for health or financial reasons. They could also serve older adults who currently have mobility options but would prefer a ride-hailing alternative for at least some trips.

This study addressed whether and how older Californians use ride-hailing, as well as the potential of this travel mode to meet the needs of older adults now and in the coming decade. An online survey was completed by 2,917 California adults aged 55 and …