Social and Behavioral Sciences Commons^™

Statistical Inference For Multimodal Travel Time Reliability, Avinash Unnikrishnan, Miguel Figliozzi, Subhash C. Kochar

TREC Final Reports

Travel time reliability is a key metric of interest to practitioners and researchers because it affects travel choice and the economic competitiveness of urban areas. This research focuses on three travel time reliability metrics – buffer index, modified buffer index, and the relative width of travel time distributions. The key novel contributions of this research include using the multivariate delta method to prove that the sampling distributions of the three travel time reliability metrics are asymptotically normal. The asymptotic standard error for the three reliability metrics is derived. The asymptotic normality and the standard error result are used to arrive …

Data From: Statistical Inference For Multimodal Travel Time Reliability, Avinash Unnikrishnan, Miguel Figliozzi, Subhash C. Kochar

TREC Datasets and Databases

Travel time reliability is a key metric of interest to practitioners and researchers because it affects travel choice and the economic competitiveness of urban areas. This research focuses on three travel time reliability metrics – buffer index, modified buffer index, and the relative width of travel time distributions. The key novel contributions of this research include using the multivariate delta method to prove that the sampling distributions of the three travel time reliability metrics are asymptotically normal. The asymptotic standard error for the three reliability metrics is derived. The asymptotic normality and the standard error result are used to arrive …

Data-Driven Mobility Strategies For Multimodal Transportation, Yao-Jan Wu, Xianfeng Terry Yang, Sirisha Kothuri, Abolfazl Karimpour, Qinzheng Wang, Jason Anderson

TREC Final Reports

Multimodal transportation systems (e.g., walking, cycling, automobile, public transit, etc.) are effective in increasing people’s travel flexibility, reducing congestion, and improving safety. Therefore, it is critical to understand what factors would affect people’s mode choices. With advanced technology, such as connected and automated vehicles, cities are now facing a transition from traditional urban planning to developing smart cities. To support multimodal transportation management, this study will serve as a bridge to connect speed management strategies of conventional corridors to connected vehicle corridors. This study consists of three main components. In the first component, the impact of speed management strategies along …

Applying Data-Driven Multimodal Speed Management Strategies For Safe, Efficient Transportation, Yao-Jan Wu, Xianfeng Yeng, Sirisha Kothuri

TREC Project Briefs

How can we use a variety of data-driven speed management strategies to make transportation safer and more efficient for all modes–whether you’re driving, walking or taking transit? The project was led by Yao Jan Wu, director of the Smart Transportation Lab at the University of Arizona. Co-investigators were Xianfeng Terry Yang of the University of Utah, who researches traffic operations and modeling along with connected automated vehicles, and Sirisha Kothuri of Portland State University, whose research has focused on improving signal timing to better serve pedestrians. “We want to improve mobility for all users, be it pedestrians, vehicle drivers or …

Methodologies To Quantify Transit Performance Metrics At The System-Level Using High-Resolution Gps, Stop-Level, And Gtfs Archived Transit Data, Travis Bradley Glick

Dissertations and Theses

Performance metrics have typically focused at two main scales: a microscopic scale that focuses on specific locations, time-periods, and trips; and, a macroscopic scale that averages metrics over longer times, entire routes, and networks. When applied to entire transit systems, microscopic methodologies often have computational limitations while macroscopic methodologies ascribe artificial uniformity to non-uniform analysis areas. These limitations highlight the need for a middle approach.

This dissertation presents a mesoscopic analysis based around timepoint-segments, which are a novel application of an existing system for many transit agencies. For this research, routes are divided into a consecutive group of bus stops …

Understanding Factors Affecting Arterial Reliability Performance Metrics, Jason C. Anderson, Rohan Sirupa, Sirisha Kothuri, Avinash Unnikrishnan

TREC Final Reports

In recent years, the importance of travel time reliability has become equally important as average travel time. However, the majority focus of travel time research is average travel time or travel time reliability on freeways. In addition, the identification of specific factors (i.e., peak hours, nighttime hours, etc.) and their effects on average travel time and travel time variability are often unknown. The current study addresses these two issues through a travel time-based study on urban arterials. Using travel times collected via Bluetooth data, a series of analyses are conducted to understand factors affecting reliability metrics on urban arterials. Analyses …

Bicycle Planning Gis Tool, Joseph Broach

TREC Final Reports

Although currently only about one percent of US trips are done by bicycle, there is significant geographic variation. Differences across communities, along with much higher cycling rates observed in other places around the world, indicates large potential bicycling demand for daily travel in the US. In response, many communities are developing and implementing bicycle master plans that include a range of bikeway infrastructure aimed at making riding more appealing, including separated paths, protected (or separated) bike lanes, striped bike lanes, bicycle boulevards, sharrows, route signage, and intersection crossing aids. Given limited resources, planners and engineers need tools to estimate the …

Leveraging Twitter And Machine Learning For Real-Time Transit Network Evaluation, Xiaoyue Cathy Liu, Qian Zuo, Shenruoyang Na, Ran Wei, Aaron Golub, Liming Wang, Jake Davis

TREC Project Briefs

With today’s profusion of open data sources and real-time feeds, transit agencies have an unparalleled opportunity to leverage large amounts of data to improve transit service. Thanks to NITC researchers, there is now an open-source tool for that.

The new Social-Transportation Analytic Toolbox (STAT) for Transit Networks, developed by researchers at the University of Utah and Portland State University, is a dynamic platform that combines Twitter, general transit feed specification (GTFS), and census transportation planning products (CTPP)—in this case, job density data—to help agencies evaluate overall system performance and identify connectivity gaps. It can also act as a decision support …

Webinar: Meeting & Exceeding Mobility User Expectations With Real-Time Transit Information, Sean J. Barbeau, Derek Fretheim

TREC Webinar Series

Every day transit riders ask the same question: when’s the next one coming? To answer this question, transit agencies are transitioning to providing real-time transit information through smartphones or displayed at transit stops.

The proliferation of transit planning and real time arrival tools that have hit the market over the past decade is staggering. Yet with transit ridership on the decline, agencies can’t afford to ignore the importance of providing accurate, real time information to their customers. Real-time transit information improves the reliability and efficiency of passenger travel, but barriers have prevented some transit agencies from adopting the GTFSrealtime v1.0 …

Transit Demand Analysis And User Classification Using Automatic Fare Collection (Afc) Data, Alireza Khani

PSU Transportation Seminars

Development of origin-destination demand matrices is crucial for transit planning. The development process is facilitated by transit automated data, making it possible to mine boarding and alighting patterns on an individual basis. This research proposes a novel stochastic trip chaining method which uses Automatic Fare Collection (AFC) and General Transit Feed Specifications (GTFS) data to infer an origin-destination (O-D) matrix.

Evaluation Of Route Changes Utilizing High-Resolution Gps Bus Transit Data, Travis Bradley Glick

PSU Transportation Seminars

Congestion and travel delay on urban roadways can influence operating costs and service attractiveness. This research uses high resolution bus data to examine sources of delay on urban arterials. A set of tools was created to help visualize trends in bus behavior and movement; this allowed larger traffic trends to be visualized along urban corridors and urban streets. By using buses as probes and examining aggregated bus behavior, contoured speed plots can be used to understand the behavior of roadways outside the zone of influence of bus stops. Speed plots can be utilized to discover trends and travel patterns with …

Estimating Reliability Indices And Confidence Intervals For Transit And Traffic At The Corridor Level, Travis B. Glick

PSU Transportation Seminars

As congestion worsens, the importance of rigorous methodologies to estimate travel-time reliability increases. Exploiting fine-granularity transit GPS data, this research proposes a novel method to estimate travel-time percentiles and confidence intervals. Novel transit reliability measures based on travel-time percentiles are proposed to identify and rank low-performance hotspots; the proposed reliability measures can be utilized to distinguish peak-hour low performance from whole-day low performance. As a case study, the methodology is applied to a bus transit corridor in Portland, Oregon. Time-space speed profiles, heatmaps, and visualizations are employed to highlight sections and intersections with high travel-time variability and transit low performance. …

Exploiting New Data Sources To Quantify Arterial Congestion And Performance Measures At A Regional Scale, Miguel A. Figliozzi, Robert L. Bertini, Travis B. Glick, Nicholas B. Stoll, Wei Feng, Bobjot S. Sidhu, Anurag Pande

TREC Final Reports

Transit travel time, operating speed and reliability all influence service attractiveness, operating cost and system efficiency. These metrics have a long-term impact on system effectiveness through a change in ridership. As part of its bus dispatch system (BDS), the Tri-County Metropolitan Transportation District of Oregon (TriMet) has been archiving automatic vehicle location (AVL) and automatic passenger count (APC) data for all bus trips at the stop level since 1997. In 2014, a new and higher-resolution bus AVL data collection system was fully implemented.

This new AVL system provides stop-level data as well as five-second resolution (5-SR) bus position data between …

Utilizing Egocentric Video And Sensors To Conduct Naturalistic Bicycling Studies, Feng Liu, Miguel A. Figliozzi

TREC Final Reports

Existing data collection methods are mostly designed for videos captured by stationary cameras and are not designed to follow cyclists along a route or to integrate other sensor data. The goals of this research are: a) to develop a platform to collect naturalistic video bicycling data, b) to develop a methodology to integrate video data with other sensors that measure cyclists’ position and comfort levels, and c) to apply the platform and data collection methodology to a real-world route. This research effort has successfully integrated video and sensor data to describe cyclists’ comfort levels along a route. It was found …

Connecting People To Places: Spatiotemporal Analysis Of Transit Supply Using Travel-Time Cubes, Steven Farber

TREC Final Reports

Despite its importance, temporal measures of accessibility are rarely used in transit research or practice. This is primarily due to the inherent difficulty and complexity in computing time-based accessibility metrics. Estimating origin-to-destination travel times that include the “last mile” of travel between the transit network and actual start and endpoints of the trip is technically difficult. Not only do such estimations require multimodal network structures, they also require detailed knowledge of transit schedules and sophisticated algorithms for calculating shortest paths using such inputs. Recently, new standards for sharing transit schedules and geographic data, namely the General Transit Feed Specification (GTFS) …

Using Multimodal Performance Measures To Prioritize Improvements On Us 101 In San Luis Obispo County, Jessica Berry

PSU Transportation Seminars

The US 101 Corridor Mobility Master Plan in San Luis Obispo was a two-year planning effort that evaluated the 70 mile corridor on 12 performance measures. This collaborative effort was led by the San Luis Obispo Council of Governments (SLOCOG).

Performance based planning is becoming more important for agencies receiving State and Federal funding. Smaller, rural regional agencies will have to find ways to collect, report, and use performance metrics with limited resources. SLOCOG's first performance-based planning effort was the US 101 Corridor Mobility Master Plan, funded through a State grant.

Funding for this project came from a …

Empirical Evaluation Of Transit Signal Priority Through Fusion Of Heterogeneous Transit And Traffic Signal Data And Novel Performance Measures, Wei Feng

PSU Transportation Seminars

Transit signal priority (TSP) is designed to reduce delay for transit vehicles through signalized intersections. For an existing TSP system, it is important to assess how timely and effective TSP phases are granted to buses that request priority. It is also necessary to evaluate the time savings and delays for buses and other vehicles as a result of TSP phases. However, due to the lack of disaggregated and integrated transit, traffic and signal phase data, previous studies have not investigated the TSP performance at the phase level. This study collects and integrates three archived databases: bus automatic vehicle location (AVL) …

Estimation Of Travel Time Based On Vehicle-Tracking Models, Anuj Nayyar

UNLV Theses, Dissertations, Professional Papers, and Capstones

In this thesis we study the travel time problem based on the known traffic density model. Using the conservation law, we model the travel time function by a boundary value problem of a non homogeneous linear hyperbolic equation. The equation is transformed into an initial value hyperbolic equation, and the well-posedness of the problem is discussed. The mathematical analysis for both density and travel problems are given. We also derive the analytic solutions for several special cases of traffic density. Numerical schemes are proposed for solving for travel time problem. Several numerical examples are presented and error analysis on the …

Performance Measure For Transportation Network: A Study In Travel Time Dynamics, Anuj Nayyar

UNLV Theses, Dissertations, Professional Papers, and Capstones

Arterial Performance Measurement and Monitoring is one of the leading goals of any transportation agency. The complexity of the differences between performance measures is highlighted and the various data collection methodologies are highlighted. A major performance measure that impacts end users and traffic planners is travel time. This study presents defining a mathematical system for modeling travel time. The modeling in real-time is presented and methods are proposed to evaluate it using vehicle trajectories. Also comparative results are presented between the actual sensor data sets and simulated data to study the effectiveness of the system developed.

Piloting Portland's Multimodal Arterial Performance System, Shaun Quayle

PSU Transportation Seminars

Shaun will present on the recently completed pilot demonstration of multimodal arterial performance measures for the Portland metro region, as part of the larger regional concept of operations. Treatments include a permanent bike count station on the Springwater Trail, permanent truck classification stations, Bluetooth travel time stations, as well as leveraging existing transit and signal controller data to paint a picture of the collective modal transportation system.

Influence Of Road Cross Section On Access Spacing, Karen K. Dixon, Yanfen Zhou, J. L. Gattis

TREC Final Reports

This report presents a study on the influences of select cross-sectional-related design elements (specifically median configurations and bicycle lanes) and their impact on crash severity and type, as well as the associated driver gap acceptance for turning maneuvers at midblock driveway locations on urban arterials. The primary goal of this proposed research is to better understand how the median and bicycle lane configurations can influence safety and operations at driveway locations. The research team utilized crash data, traffic data, and roadway information from driveway locations in the U.S. states of Oregon, Arkansas and Oklahoma. The project team supplemented the data …

Multimodal Data At Signalized Intersections: Strategies For Archiving Existing And New Data Streams To Support Operations And Planning & Fusion And Integration Of Arterial Performance Data, Kristin A. Tufte, Christopher M. Monsere, Sirisha Murthy Kothuri, Carl Scott Olson

TREC Final Reports

There is a growing interest in arterial system management due to the increasing amount of travel on arterials and a growing emphasis on multimodal transportation. The benefits of archiving arterial-related data are numerous. This research report describes our efforts to assemble and develop a multimodal archive for the Portland-Vancouver region. There is coverage of data sources from all modes in the metropolitan region; however, the preliminary nature of the archiving process means that some of the data are incomplete and samples. The arterial data sources available in the Portland-Vancouver region and that are covered in this report include data for …

Modeling Long Term Impacts Of Freeway Traffic Incidents On Travel Time Reliability, Vidhya Kumaresan, Mohamed S. Kaseko

College of Engineering: Graduate Celebration Programs

The objective of this study is to calibrate models of relationships between Travel Time Reliability measures and incident and traffic characteristics for a given highway segment.

Vehicle Routing Problems In Congested Urban Areas, Miguel Figliozzi

Systems Science Friday Noon Seminar Series

This talk will discuss vehicle routing problems in congested urban areas. Modeling approaches, data collection issues, and solution algorithms to solve real-world problems will be described and analyzed.

Pushing Pedalers: What Drives Bicycling?, Jennifer Dill, John Gliebe

TREC Project Briefs

Using a bicycle instead of a motor vehicle for a portion of regular travel could increase people’s physical activity and help improve the nation’s health. Over 60% of personal trips are five miles or less – a reasonable distance to ride a bike – and nearly 40% are two miles or less. Yet current rates of bicycling for transportation are very low, despite the popularity of recreational cycling. Given the potential of bicycling as a means of everyday travel, why aren’t more people cycling? Very little information has been available on the relationship between different types of infrastructure, such as …

Developing Corridor-Level Truck Travel Time Estimates And Other Freight Performance Measures From Archived Its Data, Christopher M. Monsere, Michael Wolfe, Heba Alawakiel, Max Taylor Stephens

TREC Final Reports

The objectives of this research were to retrospectively study the feasibility for using truck transponder data to produce freight corridor performance measures (travel times) and real-time traveler information. To support this analysis, weigh-in-motion data from each of the twenty-two stations in Oregon were assembled, processed, and uploaded in the WIM data archive is housed under the Portland Transportation Archive Listing (PORTAL) umbrella at Portland State University’s Intelligent Transportation Systems Lab. Nearly 42,000,000 truck records were successful uploaded to the archive dating back to July 2005. Two separate algorithms necessary for this research were scripted, tested, and validated. The closest stations …

Understanding And Measuring Bicycling Behavior: A Focus On Travel Time And Route Choice, Jennifer Dill, John Gliebe

Urban Studies and Planning Faculty Publications and Presentations

With rates of obesity, heart disease, and related health problems increasing in the U.S. many policy makers are looking for ways to increase physical activity in everyday life. Using a bicycle instead of a motor vehicle for a portion of everyday travel could help address these problems. This research aims to fill a gap in the existing literature on the effect of different types of infrastructure, such as bicycle lanes or paths, on bicycling. The project used global positioning system (GPS) technology to record where a sample of 164 adults in the Portland, OR region rode their bicycles. Data was …

Real-Time Travel Time Estimation Using Macroscopic Traffic Flow Models, Pushkin Kachroo, Kaan Ozbay, Antoine G. Hobeika

Electrical & Computer Engineering Faculty Research

This paper presents the estimation of travel time on highways based on macroscopic modelling. The focus is on real-time values as compared to average or static values. The macroscopic models are used for distributed and time/space lumped settings and corresponding travel time estimation functions and algorithms are developed. The implications of these algorithms for the implementation of various incident management and traffic control strategies are also discussed.

The Effects Of Roadway Capacity On Peak Narrowing - Evidence From 1995 Npts, Jihong Zhang, Anthony M. Rufolo, Kenneth Dueker, James G. Strathman

Center for Urban Studies Publications and Reports

Spreading of the peak is one effect of increased peak-period congestion. Due to peak spreading, the travel-time impact of congestion is mitigated for some travelers, but the inconvenience of traveling at a less-preferred time also has a cost. Alternatively, increases in capacity have their impacts on peak-period congestion mitigated by a narrowing of the peak. This reduces the travel-time savings, but it generates a benefit for those traveling closer to their preferred times. This benefit from capacity improvements has largely been ignored, and one reason is the difficulty of quantifying the effect. This paper reports on some crude attempts to …

Investigating The Use Of Kalman Filtering Approaches For Dynamic Origin-Destination Trip Table Estimation, Pushkin Kachroo, Kaan Ozbay, Arvind Narayanan

Electrical & Computer Engineering Faculty Research

This paper studies the applicability of Kalman filtering approaches for network wide traveler origin-destination estimation from link traffic volumes. The paper evaluates the modeling assumptions of the Kalman filters and examines the implications of such assumptions.