The video begins at 3:12.

View slides

Summary: 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.

Bio: Michael Mauch, a senior data analyst and project manager with DKS Associates, has over 20 years of experience in transportation data analysis, applications programming, mathematical model building and transportation demand forecasting.  Over the years, Mike has been project manager and has led the technical analyses for numerous large transportation data collection and data analysis projects including BRT and rail transit studies, CIP updates, transportation corridor studies, trip and parking generation studies, corridor capacity analysis, General and Master Plan Updates, incident management cost effectiveness analysis and numerous EIRs. In addition to working with DKS, Mike currently holds a variable-time position as a Research Engineer with UC Berkeley’s Institute of Transportation Studies.  He has taught “Traffic Flow Theory”, “Transit Operations”, and “Computer Programming & Numerical...

Read more

View slides

The video begins at 2:53.

Abstract: The concept of accessibility has long been theorized as a principal determinant of household residential choice behavior. Research on this influence is extensive but the empirical results have been mixed, with some research suggesting that accessibility is becoming a relatively insignificant influence on housing choices. Further, the measurement of accessibility must contend with complications arising from the increasing prevalence of trip-chains, non-work activities, and multi-worker households, as well as reconcile person-specific travel needs with household residential decisions. This paper contributes to the literature by addressing the gap framed by these issues and presents a novel residential choice model with three main elements of innovation. First, it operationalized a time-space prism (TSP) accessibility measure, which the authors believe to be the first application of its kind in a residential choice model. Second, it represented the choice sets in a building-level framework, the lowest level of spatial disaggregation available for modeling residential choices. Third, it explicitly examined the influence of non-work accessibility at both the local- and person-...

Read more

View Andy Kading's slides

View Patrick Singleton's slides

Watch video

Andy Kading, Graduate Student Researcher, Portland State University

Topic: Managing User Delay with a Focus on Pedestrian Operations

Across the U.S, walking trips are increasing. However, pedestrians still face significantly higher delays than motor vehicles at signalized intersections due to traditional signal timing practices of prioritizing vehicular movements. This study explores pedestrian delay reduction methods via development of a pedestrian priority algorithm that selects an operational plan favorable to pedestrian service, provided a user defined volume threshold has been met for the major street. This algorithm, along with several operational scenarios, were analyzed with VISSIM using Software-In-The-Loop (SITL) simulation to determine the impact these strategies have on user delays. One of the operational scenarios examined was that of actuating a portion of the coordinated phase, or actuated-coordinated operation. Following a discussion on platoon dispersion and the application of it in the design of actuated-coordinated signal...

Read more

Watch video

View slides

Summary: Although the running of red lights is perceived by motorists as a commonplace behavior for cyclists, little research has been done on the actual rates of cyclist compliance at signalized intersections. Furthermore, little is known about the factors that influence cyclist non-compliance. This research seeks to illuminate the rates of and reasons for infringement against red lights using video footage and survey data from cyclists in Oregon. 

Bio: Sam became interested in transportation and planning while studying abroad in Freiburg im Breisgau, Germany. After benefiting from the efficient transit service and excellent walkability there, he came back to the states with a gusto for safe, efficient, and environmentally sustainable transportation. After finally figuring out what to do with his Civil Engineering degree, he enrolled in Portland State. Sam's research interests include cyclist behavior and the comprehension and safety implications of new infrastructure. Originally hailing from Kansas, he has grown weary of Wizard of Oz jokes but is otherwise happy to call Portland his home, especially with the abundance of good coffee, micro brews, and stellar pie that PDX has to offer.

The proliferation of information technology in the transportation field has opened up opportunities for communication and analysis of the performance of transportation facilities. The Highway Capacity Manual relies on rules of thumb and small data samples to generate levels of service to assess performance, but modern detection technology gives us the opportunity to better capture the dynamism of these systems and examine their performance from many perspectives. Travelers, operations staff, and researchers can benefit from measurements that provide information such as travel time, effectiveness of signal coordination, and traffic density. In particular, inductive loop detectors show promise as a tool to collect the data necessary to generate such information. But while their use for this purpose on restricted‐access facilities is well understood, a great many challenges remain in using loop detectors to measure the performance of surface streets.

This thesis proposes 6 methods for estimating arterial travel time. Estimates are compared to simulated data visually, with input/output diagrams; and statistically, with travel times. Methods for estimating travel time are applied to aggregated data and to varying detector densities and evaluated as above. Conclusions are drawn about which method provides the best estimates, what levels of data aggregation can still provide useful information, and what the effects of detector density are on the quality of estimates....

Read more

Watch condensed preview video
Watch full video
View slides

If you would like to receive continuing education credits such as PDH or CM, please make sure to complete this evaluation form once you've watched the entire video so that we have a record of your attendance.

Why model pedestrians?

A new predictive tool for estimating pedestrian demand has potential applications for improving walkability. By forecasting the number, location and characteristics of walking trips, this tool allows for policy-sensitive mode shifts away from automobile travel.

There is growing support to improve the quality of the walking environment and make investments to promote pedestrian travel. Despite this interest and need, current forecasting tools, particularly regional travel demand models, often fall short. To address this gap, Oregon Metro and NITC researcher Kelly Clifton worked together to develop...

Read more
Data Science Course, Part 1: Introduction to Scientific Computing for Planners, Engineers, and Scientists with Tammy Lee and Joe Broach

For the third year, we're hosting our two-part data science course in Portland, OR. You can register for one part or the other– or attend both at a discount: Data Science Course - Part 2: Intermediate Scientific Computing for Planners, Engineers, and Scientists

Did you ever feel you are “drinking from a hose” with the amount of data you are attempting to analyze? Have you been frustrated with the tedious steps in your data processing and analysis process and thinking, “There’s gotta be a better way to do things”? Are you curious what the buzz of data science is about? If any of your answers are yes, then this course is for you.

Classes will all be hands-on sessions with lecture, discussions and labs. Participants can choose to sign up for one or both courses. For more information, download the syllabus (PDF)This course was developed as part of a NITC education project: Introduction to Scientific Computing for Planners, Engineers, and Scientists.

Agenda: Part One -...

Read more

PSU Special Transportation Seminar:

An analytical derivation of the capacity at weaving sections consistent with empirical observations and micro-simulated results

Where: ITS Lab, Room 315, PSU Engineering Building

Summary: Weaving sections are discontinuities of the highway network formed when merge segments are closely followed by diverge segments. Because of their geometrical configuration, weaving areas generate numerous lane changes. Those lane changes lead to a reduction of the capacity and affect therefore the operation of weaving sections. 

This contribution aims at investigating empirically the lane changing behavior at a weaving section located in Grenoble (France). The data have been collected at a microscopic level, describing the position of every vehicle at every time step (trajectories of each individual vehicle). The data have been measured with a high-resolution camera mounted underneath a helicopter. 

From the empirical results, we develop an analytical formulation of the capacity of weaving sections. We consider a theoretical weaving section as the superposition of two merges and two diverges. We assume moreover that the accelerations and slowdowns of weaving vehicles create voids in the traffic stream that reduce the total capacity. The analytical estimation of the capacity is compared with field macroscopic data measured in Grenoble and micro-simulated results.

The specification of the needed data sample to...

Read more