Digital Commons Network^™

Development And Testing Of Braking And Acceleration Features For Vehicle Advanced Driver Assistance System, Johann Carlo Marasigan, Gian Paolo Mayuga, Elmer R. Magsino

Electronics, Computer, and Communications Engineering Faculty Publications

Traffic congestion is a constant problem for cities worldwide. The human driving inefficiency and poor urban planning and development contribute to traffic buildup and travel discomfort. An example of human inefficiency is the phantom traffic jam, which is caused by unnecessary braking, causing traffic to slow down, and eventually coming to a stop. In this study, a brake and acceleration feature (BAF) for the advanced driver assistance system (ADAS) is proposed to mitigate the effects of the phantom traffic phenomenon. In its initial stage, the BAF provides a heads-up display that gives information on how much braking and acceleration input …

Webinar: Radar Point Cloud Segmentation Using Gmm In Traffic Monitoring, Siyang Cao

TREC Webinar Series

Intelligent transportation systems (ITS) change our communities by improving the safety and convenience of people’s daily mobility. The system relies on multimodal traffic monitoring, that needs to provide reliable, efficient and detailed traffic information for traffic safety and planning. How to reliably and intelligently monitor intersection traffic with multimodal information is one of the most critical topics in intelligent transportation research. In multimodal traffic monitoring, we gather traffic statistics for distinct transportation modes, such as pedestrians, cars and bicycles, in order to analyze and improve people’s daily mobility in terms of safety and convenience. In this study, we use a …

Towards Dynamic Vehicular Clouds, Aida Ghazizadeh

Computer Science Theses & Dissertations

Motivated by the success of the conventional cloud computing, Vehicular Clouds were introduced as a group of vehicles whose corporate computing, sensing, communication, and physical resources can be coordinated and dynamically allocated to authorized users. One of the attributes that set Vehicular Clouds apart from conventional clouds is resource volatility. As vehicles enter and leave the cloud, new computing resources become available while others depart, creating a volatile environment where the task of reasoning about fundamental performance metrics becomes very challenging. The goal of this thesis is to design an architecture and model for a dynamic Vehicular Cloud built on …

Connected Vehicle System Design For Signalized Arterials, Xianfeng Terry Yang, Mingyue Ji, Qinzheng Wang

TREC Final Reports

It can be expected that connected vehicles (CVs) systems will soon go beyond testbed and appear in real-world applications. To accommodate a large number of connected vehicles on the roads, traffic signal control systems on signalized arterials would require supports of various components such as roadside infrastructure, vehicle on-board devices, an effective communication network, and optimal control algorithms. In this project, we aim to establish a real-time and adaptive system for supporting the operations of CV-based traffic signal control functions. The proposed system will prioritize the communication needs of different types of CVs and best utilize the capacity of the …

Assessing The Barriers To Equity In Smart Mobility Systems: A Case Study Of Portland, Oregon, Aaron Golub, Vivian Satterfield, Michael Serritella, Jai Singh, Senna Phillips

Urban Studies and Planning Faculty Publications and Presentations

There is an active debate about the potential costs and benefits of emerging “smart mobility” systems, especially in how they will serve communities already facing transportation challenges. This paper describes the results of an assessment of these equity issues in the context of lower-income areas of Portland, Oregon, based on a mixture of quantitative and qualitative research. The study found that by lowering costs and improving service for public transit, ridesharing and active transportation, smart mobility systems could address many of the needs of transportation disadvantaged communities. Similar to those found in other case studies, significant barriers prevent smart mobility …

Fast Track: Allowing Bikes To Participate In A Smart-Transportation System, Stephen Fickas, Marc Schlossberg

TREC Final Reports

This project focuses on a mode of transportation that is currently left out of V2X (vehicle-to-everything) conversations: bicycling. The project demonstrates how university researchers, city traffic engineers, and signal-controller manufacturers can come together to give bicyclists the same technology appearing on modern vehicles: Green Light Optimized Speed Advisory (GLOSA). GLOSA allows motorists to set their speed along corridors to maximize their chances of catching a “green wave” (i.e., not being forced to stop as they travel through the corridor). This project demonstrates how GLOSA can be used by bicyclists in the same way it is used by motorists on a …

How Technology Can Affect The Demand For Bicycle Transportation: The State Of Technology And Projected Applications Of Connected Bicycles, John Macarthur, Michael Harpool, Daniel Scheppke

TREC Final Reports

The term “connected vehicle (CV)” refers to vehicles equipped with devices, which enable wireless communication betweeninternal and external entities, supporting vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) and vehicle-to-everything (V2X)communications. The widespread deployment of CVs will address a range of transportation challenges related to safety, mobility,and sustainability. Recent research efforts on connected bicycles have focused on the uses and limitations of the state-of-the-arttechnologies, safety implications, the reliability of various communication modes, and consumer adoption. Existing researchfocuses on either technologies that utilize data received from sensors and the internet to govern devices attached to the bicycle(situational sensing) or two-way communication. While there has been …

Applied Deep Learning In Intelligent Transportation Systems And Embedding Exploration, Xiaoyuan Liang

Dissertations

Deep learning techniques have achieved tremendous success in many real applications in recent years and show their great potential in many areas including transportation. Even though transportation becomes increasingly indispensable in people’s daily life, its related problems, such as traffic congestion and energy waste, have not been completely solved, yet some problems have become even more critical. This dissertation focuses on solving the following fundamental problems: (1) passenger demand prediction, (2) transportation mode detection, (3) traffic light control, in the transportation field using deep learning. The dissertation also extends the application of deep learning to an embedding system for visualization …

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 …

A Decentralized Network Consensus Control Approach For Urban Traffic Signal Optimization, Gerardo Lafferriere

TREC Project Briefs

Automobile traffic congestion in urban areas is a worsening problem that comes with significant economic and social costs. This report offers a new approach to urban congestion management through traffic signal control.

Sensor Technologies For Intelligent Transportation Systems, Juan Guerrero-Ibáñez, Sherali Zeadally, Juan Contreras-Castillo

Information Science Faculty Publications

Modern society faces serious problems with transportation systems, including but not limited to traffic congestion, safety, and pollution. Information communication technologies have gained increasing attention and importance in modern transportation systems. Automotive manufacturers are developing in-vehicle sensors and their applications in different areas including safety, traffic management, and infotainment. Government institutions are implementing roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. By seamlessly integrating vehicles and sensing devices, their sensing and communication capabilities can be leveraged to achieve smart and intelligent transportation systems. We discuss how sensor technology can be integrated with the …

A Multiagent-Based Approach For Vehicle Routing By Considering Both Arriving On Time And Total Travel Time, Zhiguang Cao, Hongliang Guo, Jie Zhang

Research Collection School Of Computing and Information Systems

Arriving on time and total travel time are two important properties for vehicle routing. Existing route guidance approaches always consider them independently, because they may conflict with each other. In this article, we develop a semi-decentralized multiagent-based vehicle routing approach where vehicle agents follow the local route guidance by infrastructure agents at each intersection, and infrastructure agents perform the route guidance by solving a route assignment problem. It integrates the two properties by expressing them as two objective terms of the route assignment problem. Regarding arriving on time, it is formulated based on the probability tail model, which aims to …

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 …

Modeling And Analyzing The Impact Of Advanced Technologies On Transit Performance Measures In Arterial Corridors, Miguel A. Figliozzi, Wei Feng

Civil and Environmental Engineering Faculty Publications and Presentations

Transportation and transit agencies have implemented advanced technologies like transit signal priority (TSP) and Sydney Coordinated Adaptive Traffic System (SCATS) to reduce travel times and improve reliability. However, due to the lack of detailed empirical data, the joint impact of these factors and improvement strategies on bus travel time has not been studied at the stop-to-stop segment level. With the aim of assessing the performance of an existing TSP/SCATS system, this study had access to a unique set of high-resolution bus and traffic signal data. Novel algorithms and performance measures to measure TSP performance are proposed. Results indicate that a …

Evaluation Of Advanced Traffic Control Systems, Miguel Figliozzi

TREC Project Briefs

Researchers from Portland State University develop performance measures and algorithms for evaluation of state-of-the-art traffic signal control technologies..

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.

Towards A Computational Transportation Science, Stephan Winter, Monika Sester, Ouri Wolfson, Glenn Geers

Journal of Spatial Information Science

This report of a community activity a Dagstuhl Seminar earlier in 2010 postulates the need for a computational transportation science as the science behind intelligent transportation systems. In addition to the argument for establishing a discipline we present a first research agenda for computational transportation science.

Characteristics Of Transitions In Freeway Traffic, Robert L. Bertini, Soyoung Ahn

Civil and Environmental Engineering Faculty Publications and Presentations

This research seeks to understand the characteristics of transitions as freeway traffic changes from one state to another. This study addresses the features of two types of transitions; transitions near a merge and transitions along shock waves during the onsets and dissipations of queues at several freeway sites.

Individual vehicle trajectory data were analyzed for studying the transitions near a merge. The length of a transition zone was measured by analyzing the spatial changes in flow, density and speed along kinematic waves near a merge. It was found that the length of transition in terms of flow, density and speed …

A Service Choice Model For Optimizing Taxi Service Delivery, Shih-Fen Cheng, Xin Qu

Research Collection School Of Computing and Information Systems

Taxi service has undergone radical revamp in recent years. In particular, significant investments in communication system and GPS devices have improved quality of taxi services through better dispatches. In this paper, we propose to leverage on such infrastructure and build a service choice model that helps individual drivers in deciding whether to serve a specific taxi stand or not. We demonstrate the value of our model by applying it to a real-world scenario. We also highlight interesting new potential approaches that could significantly improve the quality of taxi services.

How Can We Best Manage Freeway Congestion?, Robert Bertini, Christopher Monsere

TREC Project Briefs

Researchers from Portland State University evaluate Oregon’s Implementation of System-Wide Adaptive Ramp Metering (SWARM).

Using Archived Its Data To Measure The Operational Benefits Of A System-Wide Adaptive Ramp Metering System, Robert L. Bertini, Christopher Monsere, Oren Eshel, Soyoung Ahn

Civil and Environmental Engineering Faculty Publications and Presentations

A System-Wide Adaptive Ramp Metering (SWARM) system has been implemented in the Portland, Oregon metropolitan area, replacing the previous pre-timed ramp-metering system that had been in operation since 1981. SWARM has been deployed on six major corridors and operates during the morning and afternoon peak hours. This report presents results of a "before" and "after" evaluation of the performance of two freeway corridors as part of ongoing efforts to measure the benefits of the new SWARM system, as compared to the pre-timed system. The study benefited from using the existing regional data, surveillance and communications infrastructure in addition to a …

Assessment And Refinement Of Real-Time Travel Time Algorithms For Use In Practice, Kristin A. Tufte, Sirisha Murthy Kothuri

TREC Final Reports

The Federal Highway Administration (FHWA) has set a high priority on the use of existing dynamic message signs (DMS) to provide travel time estimates to the public. The Oregon Department of Transportation (ODOT) currently has three DMS in the Portland metropolitan area configured to display travel time information. In the near future, ODOT would like to make travel time estimates available on additional DMS, over the Internet on tripcheck.com and via 511. Travel time estimates are valuable to the traveling public; however, the estimates must be accurate to be useful. The FHWA indicates that 90% accuracy is ideal and suggests …

Building And Maintaining A Statewide Transportation Framework, Kenneth Dueker, Paul Bender

Center for Urban Studies Publications and Reports

Creating and maintaining up-to-date sharable Geographic Information SystemsTransportation (GIS-T) data is challenging. Many states are working on Transportation Framework efforts to build a complete, consistent, and current transportation data layer in conjunction with the NSDI and Geospatial One-Stop efforts. This paper summarizes an effort that systematically re-examined transportation data sharing issues as part of the development of a Transportation Framework for the State of Washington. Business needs were assessed in terms of spatial and temporal accuracy needs of stakeholders and users of a state-wide Transportation Framework. A conceptual model was developed for a Transportation Framework with emphasis on data flows …

Tri-Met's Experience With Automatic Passenger Counter And Automatic Vehicle Location Systems, James G. Strathman

Center for Urban Studies Publications and Reports

The Tri-County Metropolitan Transportation District of Oregon (Tri-Met) is one of about 30 metropolitan transit agencies that have deployed both automatic vehicle location (AVL) and automatic passenger counter (APC) systems (Casey, 1999). These technologies are important components of the agency’s new automated bus dispatching system (BDS). The AVL and APC systems at Tri-Met recover comprehensive operations and passenger activity data at the bus stop level that is archived for later analysis. The agency has gained a reputation as an industry leader in the areas of data archiving and the application of archived data to performance monitoring and analysis.

Prior to …

Evaluation Of Transit Operations: Data Applications Of Tri-Met’S Automated Bus Dispatching System, James G. Strathman, Thomas J. Kimpel, Kenneth Dueker, Rick Gerhart, Steve Callas

Center for Urban Studies Publications and Reports

Over the past decade, the adoption of Advanced Public Transportation System (APTS) technology has been motivated by transit providers’ desire to improve service reliability as well as to identify potential savings from improvements in scheduling and service planning. Casey (2000) reports that Automatic Vehicle Location (AVL) systems, a cornerstone of APTS, have been deployed by 61 transit agencies as of 1998.

Time Point-Level Analysis Of Passenger Demand And Transit Service Reliability, Thomas J. Kimpel, James G. Strathman, Kenneth Dueker

Center for Urban Studies Publications and Reports

This paper provides a framework for analyzing transit service reliability and estimating passenger demand at the time point-level of analysis. It begins with a literature review of passenger demand modeling and transit service reliability analysis, and shows how advances in transportation technologies are producing vast amounts of data that encourage the use of new modeling techniques. Differences between route-level and time point-level demand modeling are discussed. Lastly, the results of the passenger demand and transit service reliability models estimated from Tri-Met BDS data are presented.

A Clearinghouse Approach To Sharing Transportation Gis Data, Kenneth Dueker, J. Allison Butler, Paul Bender, Jihong Zhang

Center for Urban Studies Publications and Reports

Updating and maintaining Geographic Information Systems-Transportation data (GIS-T data) is proving difficult. Different database formats needed to support diverse applications leads to inconsistencies and inaccuracies, and duplication in updating. A clearinghouse approach is recommended for the collection and dissemination of new transportation features that can be segmented in different ways to meet the needs of various applications and inserted to update existing GIS-T databases. The clearinghouse approach is advantageous in that it is based on collecting data about new or changed transportation features once and uses the data many times to update existing databases.

A Framework For Gis-T Data Sharing, Kenneth Dueker, J. Allison Butler

Center for Urban Studies Publications and Reports

This paper develops a framework and principles for sharing of transportation data. The framework is intended to clarify roles among participants, data producers, data integrators, and data users. The principles are intended to provide guidance for the participants. Both the framework and the principles are based on an enterprise GIS-T data model that defines relations among transportation data elements. The data model guards against ambiguities and provides a basis for the development of the framework and principles for sharing of transportation data. There are two central principles. First is the uncoupling of graphics, topology, position, and characteristics. Second is the …

Sharing Transportation Gis Data, Kenneth Dueker, Paul Bender, Jihong Zhang

Center for Urban Studies Publications and Reports

Updating and maintaining Geographic Information Systems-Transportation data (GIS-T data) is proving difficult. Different database formats needed to support diverse applications leads to inconsistencies and inaccuracies, and duplication in updating. Dueker and Butler (1998) have proposed an Enterprise GIS-T data model that unbundles the various components of transportation data (network links, cartography, and attributes) to facilitate generating application-specific networks, and which eases updating and maintenance. However, developers of existing application-specific databases that employ integrated data models that bundle the network link with cartography and attributes are reluctant to step back to an intermediate form for managing their data. Consequently, attention is …

Bus Transit Operations Control: Review And An Experiment Involving Tri-Met’S Automated Bus Dispatching System, James G. Strathman, Thomas J. Kimpel, Kenneth Dueker

Center for Urban Studies Publications and Reports

An operations plan contains information on the provision of transit service, including intended service levels, vehicle availability, and driver schedules. Agency resources would be utilized efficiently if the operations plan could be executed without disruptions in service. When service disruptions occur, the aim of operations control is to optimize system performance given the current state of the system (Wilson et al., 1992). This typically involves actions intended to either return service to schedule or restore headways separating vehicles. Disruptions in service impose costs on transit providers in the form of reduced productivity and on passengers in the form of increased …