Urban Studies and Planning Commons^™

Network Effects Of Disruptive Traffic Events, Juan Medina, Xiaoyue Cathy Liu

TREC Final Reports

Current traffic management strategies are based on expected conditions caused by recurring congestion (e.g., by time of day, day of week), and can be very effective when provisions are also given for reasonable variations from such expectations. However, traffic variations due to non-recurrent events (e.g., crashes) can be much larger and difficult to predict, making also challenging efforts to identify, measure, and forecast their disruptive effects. This project explores a proactive approach to deploy a tool for managing non-recurrent congestion by identifying and quantifying the effects of disruptive traffic events at a microscopic level using a comprehensive set of data …

Pedpdx: Addressing Equity Through Citywide Pedestrian Planning, Michelle Marx, Francesca Patricolo

PSU Transportation Seminars

Pedestrian safety and access is an equity issue. In Portland, inadequate pedestrian infrastructure and traffic safety concerns disproportionately impact low-income communities and people of color. The City is attempting to rectify these inequities through PedPDX, Portland’s new citywide pedestrian plan (anticipated for adoption in Spring 2019). PedPDX prioritizes sidewalk and crossing improvements and other investments, policies, strategies and tools to make walking safer and more comfortable across the city.

Come learn about the strategies PedPDX is using to address transportation equity in Portland, including establishing a data-based prioritization for citywide pedestrian investments, identifying roadway and behavioral characteristics most closely …

Rethinking Streets For Bikes: An Evidencebased Guidebook, Marc Schlossberg, John Rowell, Roger Lindgren, Dave Amos

TREC Final Reports

This project is a follow up to a successful previous NITC project and subsequent nationally distributed book, called “Rethinking Streets: An Evidence-Based Guide to 25 Street Transformations.” The success of the first book demonstrated a need for easy access to evidence-based transportation information that can be used by practitioners, community members, policymakers, educators, and researchers. This project produced a follow-up guidebook, but with a focus on streets redesigned to accommodate bicycle transportation in ways following current best practices. Whereas the first book purposefully focused on “average” street retrofit projects to communicate the normalcy of such projects around the country, this …

From Knowledge To Practice: Rethinking Streets For People On Bikes, Marc Schlossberg, John Rowell, Roger Lindgren

TREC Project Briefs

For too long we’ve been building streets as though they have one function–to move cars quickly. The reality is that streets can to do more than just move cars. They can move people on foot, on bikes, on transit, without hurting vehicular throughput and safety. They can be more than a way to get somewhere else. Good streets are good places, too – public places where people meet, sit and socialize, conduct business, wander about, play, and more.

Self-Organizing Signals: A Better Framework For Transit Signal Priority, Peter G. Furth

PSU Transportation Seminars

Actuated traffic signal control logic has many advantages because of its responsiveness to traffic demands, short cycles, effective use of capacity leading to and recovering from oversaturation, and amenability to aggressive transit priority. Its main drawback has been its inability to provide good progression along arterials. However, the traditional way of providing progression along arterials, coordinated-actuated control with a common, fixed cycle length, has many drawbacks stemming from its long cycle lengths, inflexibility in recovering from priority interruptions, and ineffective use of capacity during periods of oversaturation. This research explores a new paradigm for traffic signal control, “self-organizing signals,” based …

Active Transportation Research At Northern Arizona University, Edward J. Smaglik

PSU Transportation Seminars

Dr. Smaglik is currently working on three separate transportation research projects at Northern Arizona University. This talk will touch briefly on each of the three projects, the concepts behind them, workplans, and expected deliverables. The projects include work with the Oregon DOT on the impact of less than optimal vehicle detection on adaptive control algorithms, development of a ped priority algorithm through a NITC project (as a Portland State subcontractor), and internally funded work on a power harvesting traffic sensor.

Pedestrian Safety And Culture Change, Ron Van Houten

PSU Transportation Seminars

This session will describe the process and results of a NHTSA study that showed a change in driver culture of yielding to pedestrians in crosswalks on a citywide basis. The research won the Pat Waller award from the National Academy of Sciences, Transportation Research Board in January of this year. The approach to changing road user behavior focused on an integrated approach that include Enforcement, Engineering, and Educational efforts that were designed to be dovetailed together and that included a social norming component. Additional information will be provided on engineering solutions that can facilitate changes in pedestrian level of service …

Using Empirical (Real-World) Transportation Data To Extend Travel Demand Model Capabilities, Michael Mauch

PSU Transportation Seminars

Real-world traffic trends observed in PORTAL and INRIX traffic data are used to expand the performance measures that can be obtained from Portland Metro's travel demand model to include the number of hours of congestion that can be expected during a typical weekday and travel time reliability measures for congested freeway corridors.

Feedback Control Theory For Dynamic Traffic Assignment, Pushkin Kachroo, Kaan Ozbay

Electrical & Computer Engineering Faculty Research

Traditionally, traffic assignment and traffic control in general have mostly been performed using optimisation techniques which do not lend themselves to real-time control. This volume presents feedback control techniques for performing traffic assignment in real-time, where traffic diversion control variables are instantaneous functions of sensed traffic variables. The authors outline the whole theory behind Intelligent Transportation Systems (ITS) which allows traffic variables to be sensed in real time and microprocessors to use the sensed traffic variable input to perform the traffic actuation tasks. They show h ow to design feedback controllers to perform dynamic traffic routing and assignment, and present …

Incident Management In Intelligent Transportation Systems, Kaan Ozbay, Pushkin Kachroo

Electrical & Computer Engineering Faculty Research

Since the conception of Intelligent Transportation Systems (ITS) in the 1980s, many transportation researchers have also worked on the development of incident management models and integrated systems for real-time operations. ITS created the required infrastructure for collecting, processing, and managing real-time traffic data that can be used to develop on-line incident management strategies. This book provides the reader with a broad picture of the overall incident management process in the context of ITS along with a quick review of the models and systems developed by numerous researchers worldwide. This book is a direct result of the long-term incident management research …

Validation Of Waimss Incident Duration Estimation Model, Wei Wu, Pushkin Kachroo, Kaan Ozbay

Electrical & Computer Engineering Faculty Research

This paper presents an effort to validate the traffic incident duration estimation model of WAIMSS (wide area incident management support system). Duration estimation model of WAIMSS predicts the incident duration based on an estimation tree which was calibrated using incident data collected in Northern Virginia. Due to the limited sample size, a full scale test of the distribution, mean and variance of incident duration was performed only for the root node of the estimation tree, white only mean tests were executed at all other nodes whenever a data subset was available. Further studies were also conducted on the model error …

Simulation Study Of Learning Automata Games In Automated Highway Systems, Cem Unsal, Pushkin Kachroo, John S. Bay

Electrical & Computer Engineering Faculty Research

One of the most important issues in Automated Highway System (AHS) deployment is intelligent vehicle control. While the technology to safely maneuver vehicles exists, the problem of making intelligent decisions to improve a single vehicle’s travel time and safety while optimizing the overall traffic flow is still a stumbling block. We propose an artificial intelligence technique called stochastic learning automata to design an intelligent vehicle path controller. Using the information obtained by on-board sensors and local communication modules, two automata are capable of learning the best possible (lateral and longitudinal) actions to avoid collisions. This learning method is capable of …

Sliding Mode For User Equilibrium Dynamic Traffic Routing Control, Pushkin Kachroo, Kaan Ozbay

Electrical & Computer Engineering Faculty Research

Presents a solution to the user equilibrium dynamic traffic routing (DTR) problem for a point diversion case using feedback control methodology. The sliding mode control technique which is a robust control methodology applicable to nonlinear systems in canonical form is employed to solve the user equilibrium DTR problem. The canonical form for this problem is obtained by using a feedback linearization technique, and the uncertainties of the system are countered by using the sliding mode principle. Simulation results show promising results.

Feedback Control Solutions To Network Level User-Equilibrium Real-Time Dynamic Traffic Assignment Problems, Pushkin Kachroo, Kaan Ozbay

Electrical & Computer Engineering Faculty Research

A new method for performing dynamic traffic assignment (DTA) is presented which is applicable in real time, since the solution is based on feedback control. This method employs the design of nonlinear H∞ feedback control systems which is robust to certain class of uncertainties in the system. The solution aims at achieving user equilibrium on alternate routes in a network setting.