Presented at the USDOT O
View the recording at http://youtu.be/aXFwVh-gDBc
Mobile phones are quickly reshaping our world. As of November 2014, 97 percent of US households have mobile phones, with the average household owning 5.2 connected mobile devices. Mobile app use on these devices is skyrocketing, with app usage up 76 percent in 2014. These apps can help us make better transportation choices by delivering the right information at the right time & location - from decreasing your wait time for public transportation, to letting you know about traffic incidents before you even leave for your destination, to helping transit riders with special needs get to and from jobs. However, developing new mobile technology that is smart, both in terms of delivering the information at the right moment and conserving limited resources such as battery life and data plans, is not always simple. Research conducted at universities has the potential to break through some of these challenges, which can result in improvements in mobility to everyone.
This presentation discusses the multi-disciplinary innovation process at the University of South Florida, including research funded by the National Center for Transit Research UTC and the Florida Department of Transportation, that has resulted in 14 U.S. patents on location-aware mobile technology and resulted in the deployment of real-world systems. Lessons learned, both during the research itself as well as the technology transfer process to real-world deployments, will be presented.
Facts and figures from CTIA.org
Open data in the General Transit Feed Specification (GTFS) format has led to many innovations in the transit industry. One of these innovations has been the emergence of open-source software projects that utilize open transit data and offer various multi-modal traveler information services. OneBusAway (http://onebusaway.org/) started as a student project at the University of Washington, and now offers real-time transit arrival information riders at more than 10 cities around the world. OpenTripPlanner (http://www.opentripplanner.org/) started as a project in TriMet, OR and has been used for the basis of many other trip planning applications world-wide, including the university campus-centric USF Maps App (http://maps.usf.edu/). This presentation will discuss the evolution and benefits of the OneBusAway and USF Maps App, including the ability for anyone to deploy these projects in new locations.
Closing the Loop - Improving Transit through Crowd-sourced InformationSean Barbeau
Offering real-time arrival information to riders via mobile applications has been shown to improve the rider’s perception of transit, and even increase ridership. This direct connection to riders also offers the agency an opportunity to collect feedback on how transit service and infrastructure can be improved. However, managing the sheer volume of this rider feedback can be very challenging, especially when various departments and agencies (e.g., city/county government) are involved (e.g., does this broken bench belong to the transit agency or the county?). This presentation discusses a pilot project in Tampa, FL, funded by the Florida Department of Transportation and the National Center for Transit Research, which focused on the improvement of the feedback loop from riders back to transit agencies, local government, and departments of transportation. This project made improvements to the OneBusAway mobile app, originally deployed in Tampa in 2013, to include support for the Open311 standard (http://www.open311.org/) for issue reporting. Open311 support gives agencies the option of selecting a hosted issue management solution that supports Open311 such as SeeClickFix.com and PublicStuff.com, or the option to utilize existing open-source Open311-compliant software.
See the recorded webcast at http://www.cutr.usf.edu/2016/07/cutr-webcast-improving-transit-through-crowdsourced-information/.
Adding New Agencies to OneBusAway TampaSean Barbeau
This presentation provides an introduction to the OneBusAway open-source project (http://onebusaway.org/), and discusses the steps necessary to add a new agency to the OneBusAway Tampa system (http://tampa.onebusaway.org/).
2011 ITS World Congress - TAD - Travel Assistance Mobile App to Help Transit ...Sean Barbeau
A discussion of the first real-time transit navigation app that was created to help transit riders with intellectual disabilities use public transportation.
The agenda/presentation slide deck shown during the April 7, 2021 Citizens' Transportation Advisory Committee (CTAC) virtual meeting. The meeting video can be viewed at https://youtu.be/SqTL6J2xaeQ
2011 Transportation Research Board - Participatory Sensing: Smart Phones as S...Sean Barbeau
Discussion of mobile devices and how mobile apps can serve as new sensors that are carried around by the general public. Includes discussion of current technology, and implications of such tracking on device battery life and data transer, including benchmark results from actual devices.
2015 Transportation Research Forum Webinar - Enabling Better Mobility Through...Sean Barbeau
A webinar discussing research conducted by the Center for Urban Transportation Research at the University of South Florida that focuses on using mobile apps to improve mobility on various modes of transportation.
This presentation was offered as a webinar for a Florida Department of Transportation-sponsored project that created GTFS data for 7 agencies in Florida. This presentation discusses best practices for maintaining, sharing, and leveraging GTFS data. Recordings of the webinar (offered twice) are available at:
* 1.27.16 (1 hr 20 min): https://cutr.adobeconnect.com/p5i78c4wxa1/
* 1.29.16 (1 hr): https://cutr.adobeconnect.com/p8kfvt6zmdn/
Open data in the General Transit Feed Specification (GTFS) format has led to many innovations in the transit industry. One of these innovations has been the emergence of open-source software projects that utilize open transit data and offer various multi-modal traveler information services. OneBusAway (http://onebusaway.org/) started as a student project at the University of Washington, and now offers real-time transit arrival information riders at more than 10 cities around the world. OpenTripPlanner (http://www.opentripplanner.org/) started as a project in TriMet, OR and has been used for the basis of many other trip planning applications world-wide, including the university campus-centric USF Maps App (http://maps.usf.edu/). This presentation will discuss the evolution and benefits of the OneBusAway and USF Maps App, including the ability for anyone to deploy these projects in new locations.
Closing the Loop - Improving Transit through Crowd-sourced InformationSean Barbeau
Offering real-time arrival information to riders via mobile applications has been shown to improve the rider’s perception of transit, and even increase ridership. This direct connection to riders also offers the agency an opportunity to collect feedback on how transit service and infrastructure can be improved. However, managing the sheer volume of this rider feedback can be very challenging, especially when various departments and agencies (e.g., city/county government) are involved (e.g., does this broken bench belong to the transit agency or the county?). This presentation discusses a pilot project in Tampa, FL, funded by the Florida Department of Transportation and the National Center for Transit Research, which focused on the improvement of the feedback loop from riders back to transit agencies, local government, and departments of transportation. This project made improvements to the OneBusAway mobile app, originally deployed in Tampa in 2013, to include support for the Open311 standard (http://www.open311.org/) for issue reporting. Open311 support gives agencies the option of selecting a hosted issue management solution that supports Open311 such as SeeClickFix.com and PublicStuff.com, or the option to utilize existing open-source Open311-compliant software.
See the recorded webcast at http://www.cutr.usf.edu/2016/07/cutr-webcast-improving-transit-through-crowdsourced-information/.
Adding New Agencies to OneBusAway TampaSean Barbeau
This presentation provides an introduction to the OneBusAway open-source project (http://onebusaway.org/), and discusses the steps necessary to add a new agency to the OneBusAway Tampa system (http://tampa.onebusaway.org/).
2011 ITS World Congress - TAD - Travel Assistance Mobile App to Help Transit ...Sean Barbeau
A discussion of the first real-time transit navigation app that was created to help transit riders with intellectual disabilities use public transportation.
The agenda/presentation slide deck shown during the April 7, 2021 Citizens' Transportation Advisory Committee (CTAC) virtual meeting. The meeting video can be viewed at https://youtu.be/SqTL6J2xaeQ
2011 Transportation Research Board - Participatory Sensing: Smart Phones as S...Sean Barbeau
Discussion of mobile devices and how mobile apps can serve as new sensors that are carried around by the general public. Includes discussion of current technology, and implications of such tracking on device battery life and data transer, including benchmark results from actual devices.
2015 Transportation Research Forum Webinar - Enabling Better Mobility Through...Sean Barbeau
A webinar discussing research conducted by the Center for Urban Transportation Research at the University of South Florida that focuses on using mobile apps to improve mobility on various modes of transportation.
This presentation was offered as a webinar for a Florida Department of Transportation-sponsored project that created GTFS data for 7 agencies in Florida. This presentation discusses best practices for maintaining, sharing, and leveraging GTFS data. Recordings of the webinar (offered twice) are available at:
* 1.27.16 (1 hr 20 min): https://cutr.adobeconnect.com/p5i78c4wxa1/
* 1.29.16 (1 hr): https://cutr.adobeconnect.com/p8kfvt6zmdn/
Improving the quality and cost effectiveness of multimodal travel behavior da...Sean Barbeau
Multimodal transportation such as transit, bike, walk, transportation network companies (TNCs) (e.g., Uber, Lyft), car share, and bike share are vital to supporting livable communities. However, current data collection techniques for multimodal travel behavior, including apps built specifically for travel behavior surveys, have limitations (e.g., significant negative impact on battery life, user acquisition) which prevent a better understanding of significant real-world challenges (e.g., multimodal traveler choices, relationships between travel behavior and health).
This webinar discusses the results of a recently completed research project funded by the National Center for Transit Research, “Improving the Quality and Cost Effectiveness of Multimodal Travel Behavior Data Collection”. In this project, the research team developed and deployed a proof-of-concept system to collect multimodal travel behavior data on an ongoing basis directly from users of a popular open-source mobile app for multi-modal information, OneBusAway (OBA). To overcome battery life challenges, the research team used the Android Activity Transition API, which leverages hardware advancements in modern mobile phones.
This webinar presents the technology used to implement this data collection tool, as well as the results of a pilot deployment to 676 beta testing users. Over 10 weeks, 74 users opted into the study without any incentive and contributed 65,582 trips. Key concerns discussed for data collection when conserving battery life include the timeliness and accuracy of data.
A webinar recording of this presentation can be found here:
https://www.cutr.usf.edu/2020/04/cutr-webinar-improving-the-quality-and-cost-effectiveness-of-multimodal/
The final report for this project can be downloaded at:
https://scholarcommons.usf.edu/cutr_nctr/13/
Walkability best practices are initiatives and activities that most effectively contribute to increasing the number and frequency of work, recreation, shopping, school, fitness, and other walking trips, increasing the walk share of all people trips made in a community, and improving the safety, comfort, convenience, and well-being experience of walking throughout a community.This workshop presentation presents a number of best practices, and suggests how citizens can organize their resources to promote achieving these practices in their communities.
Ultimate Guide to Walkability Assessment ToolsState of Place
We get asked asked a lot about how we "measure up" to other walkability tools in the market. As data geeks, we *really* LOVE answering this question. But rather than keep that passion to ourselves, today we are sharing our Ultimate Guide to Walkability Tools with you! We compiled a list of the most popular and useful tools out there, and evaluated them based on various factors to help you decide which walkability assessment tool is right for your development project, neighborhood, or city. Check out your Ultimate Guide & find out how to score your score!
Open Source Software in Public Transportation: A Case Study - TRB posterSean Barbeau
TRB 2020 poster presentation of the TRB paper "Open Source Software in Public Transportation: A Case Study", available at http://bit.ly/trb-open-transit-software.
Open Transit Data - A Developer's PerspectiveSean Barbeau
I gave this presentation as part of an N-CATT webinar on "Open Source Software and Open Data". It discusses open transit data, with a focus on rural and demand response transit agencies and topics to watch as of May 2020. The full webinar is available at https://n-catt.org/tech-university/webinar-open-source-software-and-open-data/.
Title: Taking Pedestrian and Bicycle Counting Programs to the Next Level
Track: Connect
Format: 90 minute panel
Abstract: Panelists will provide practical guidance for pedestrian and bicycle counting programs based on findings from NCHRP Project 07-19, "Methods and Technologies for Collecting Pedestrian and Bicycle Volume Data."
Presenters:
Presenter: Robert Schneider University of Wisconsin-Milwaukee
Co-Presenter: RJ Eldridge Toole Design Group, LLC
Co-Presenter: Conor Semler Kittelson & Associates, Inc.
Applying Safety Data and Analysis to Performance-based Transportation PlanningRPO America
During the 2016 National Regional Transportation Conference, Nicole Waldheim and Danena Gaines (Cambridge Systematics) provided information on techniques to analyzing information regarding transportation safety to the transportation planning process.
OneBusAway Multi-region – Rapidly Expanding Mobile Transit Apps to New CitiesSean Barbeau
OneBusAway Multi-region makes is easy for new cities to make Android, iPhone, Windows Phone, and Windows 8 apps available in their region. This presentation discusses the background, goals, and outcome of the project.
Creating a Safer System Through State Pedestrian and Bicycle Safety Campaigns
Hear about approaches used by North Carolina and Florida to develop, launch, and evaluate combined education and enforcement campaigns aimed at reducing pedestrian and bicyclists injuries and deaths.
Presenters:
Presenter: Laura Sandt Pedestrian and Bicycle Information Center
Co-Presenter: Lauren Blackburn North Carolina DOT
Co-Presenter: Lucas Cruse University of South Florida, Center for Urban Transportation Research
Co-Presenter: Billy Hattaway Florida DOT
Awareness on Road Signs and Markings of Drivers and Passengers along Maharlik...IJAEMSJORNAL
Road signs and markings are an integral part of the transportation systems which are logically designed and employed to provide essential road information for commuters’ safety and protection. The study is an evaluation of drivers and passengers’ awareness regarding road signs and markings along Maharlika Highway in the Province of Nueva Ecija particularly between the cities of San Jose and Cabanatuan. While drivers understanding and perception of road signs and markings were very substantial in the study, the perceptions of common passengers wereadded, because they are generally the victims of road accidents. A total of 100 drivers and passengers from the locality were surveyed based on a 4-point Likert scale ranging from strongly disagree (1) to strongly agree (4). The findings showed thatdrivers were aware and knowledgeable about road signs and markings but did not strictly abide by it. Passengers, on the other hand, were not very much aware of road safety features like road signs and markings and relied heavily on the capability of drivers since they believe that drivers were following rules and regulations onroad signs and markings.
NTI 2017 Workshop - Many Uses of GTFS DataSean Barbeau
GTFS data has enabled many different types of multimodal applications. This presentation, which was presented at the 2017 NTI Workshop, discussing the creation, maintenance, and application of GTFS data.
ITS World Congress 2014 - Performance Evaluation of Transit Data Formats on a...Sean Barbeau
Presented at the 2014 ITS World Congress in Detroit, MI.
Over the last decade mobile devices have changed how we access transportation information. However, many past data formats used in information services have been designed without the processing and energy constraints of mobile devices in mind. Newer standards, such as the Service Interface for Real-time Information (SIRI) v2.0, are including mobile-friendly features that reduce the processing overhead on mobile devices. Coupled with the advances in mobile device processing capabilities, many believe that performance is no longer an issue of concern in modern mobile phones. This paper presents an evaluation of the SIRI data format on a mobile device, which indicates that not only is performance still an issue, but that app developers should carefully consider certain software design choices to avoid exposing mobile users to extensive wait times (e.g., wait for real-time transit arrival information). The results also demonstrate that information service providers should always offer mobile-friendly interfaces (i.e., RESTful web services with JSON encoding) when possible. The benchmarking software is made available as an open-source application so that others can perform their own experiments, and so that app developers can use this library as a foundation for building new applications based on the SIRI format.
Improving the quality and cost effectiveness of multimodal travel behavior da...Sean Barbeau
Multimodal transportation such as transit, bike, walk, transportation network companies (TNCs) (e.g., Uber, Lyft), car share, and bike share are vital to supporting livable communities. However, current data collection techniques for multimodal travel behavior, including apps built specifically for travel behavior surveys, have limitations (e.g., significant negative impact on battery life, user acquisition) which prevent a better understanding of significant real-world challenges (e.g., multimodal traveler choices, relationships between travel behavior and health).
This webinar discusses the results of a recently completed research project funded by the National Center for Transit Research, “Improving the Quality and Cost Effectiveness of Multimodal Travel Behavior Data Collection”. In this project, the research team developed and deployed a proof-of-concept system to collect multimodal travel behavior data on an ongoing basis directly from users of a popular open-source mobile app for multi-modal information, OneBusAway (OBA). To overcome battery life challenges, the research team used the Android Activity Transition API, which leverages hardware advancements in modern mobile phones.
This webinar presents the technology used to implement this data collection tool, as well as the results of a pilot deployment to 676 beta testing users. Over 10 weeks, 74 users opted into the study without any incentive and contributed 65,582 trips. Key concerns discussed for data collection when conserving battery life include the timeliness and accuracy of data.
A webinar recording of this presentation can be found here:
https://www.cutr.usf.edu/2020/04/cutr-webinar-improving-the-quality-and-cost-effectiveness-of-multimodal/
The final report for this project can be downloaded at:
https://scholarcommons.usf.edu/cutr_nctr/13/
Walkability best practices are initiatives and activities that most effectively contribute to increasing the number and frequency of work, recreation, shopping, school, fitness, and other walking trips, increasing the walk share of all people trips made in a community, and improving the safety, comfort, convenience, and well-being experience of walking throughout a community.This workshop presentation presents a number of best practices, and suggests how citizens can organize their resources to promote achieving these practices in their communities.
Ultimate Guide to Walkability Assessment ToolsState of Place
We get asked asked a lot about how we "measure up" to other walkability tools in the market. As data geeks, we *really* LOVE answering this question. But rather than keep that passion to ourselves, today we are sharing our Ultimate Guide to Walkability Tools with you! We compiled a list of the most popular and useful tools out there, and evaluated them based on various factors to help you decide which walkability assessment tool is right for your development project, neighborhood, or city. Check out your Ultimate Guide & find out how to score your score!
Open Source Software in Public Transportation: A Case Study - TRB posterSean Barbeau
TRB 2020 poster presentation of the TRB paper "Open Source Software in Public Transportation: A Case Study", available at http://bit.ly/trb-open-transit-software.
Open Transit Data - A Developer's PerspectiveSean Barbeau
I gave this presentation as part of an N-CATT webinar on "Open Source Software and Open Data". It discusses open transit data, with a focus on rural and demand response transit agencies and topics to watch as of May 2020. The full webinar is available at https://n-catt.org/tech-university/webinar-open-source-software-and-open-data/.
Title: Taking Pedestrian and Bicycle Counting Programs to the Next Level
Track: Connect
Format: 90 minute panel
Abstract: Panelists will provide practical guidance for pedestrian and bicycle counting programs based on findings from NCHRP Project 07-19, "Methods and Technologies for Collecting Pedestrian and Bicycle Volume Data."
Presenters:
Presenter: Robert Schneider University of Wisconsin-Milwaukee
Co-Presenter: RJ Eldridge Toole Design Group, LLC
Co-Presenter: Conor Semler Kittelson & Associates, Inc.
Applying Safety Data and Analysis to Performance-based Transportation PlanningRPO America
During the 2016 National Regional Transportation Conference, Nicole Waldheim and Danena Gaines (Cambridge Systematics) provided information on techniques to analyzing information regarding transportation safety to the transportation planning process.
OneBusAway Multi-region – Rapidly Expanding Mobile Transit Apps to New CitiesSean Barbeau
OneBusAway Multi-region makes is easy for new cities to make Android, iPhone, Windows Phone, and Windows 8 apps available in their region. This presentation discusses the background, goals, and outcome of the project.
Creating a Safer System Through State Pedestrian and Bicycle Safety Campaigns
Hear about approaches used by North Carolina and Florida to develop, launch, and evaluate combined education and enforcement campaigns aimed at reducing pedestrian and bicyclists injuries and deaths.
Presenters:
Presenter: Laura Sandt Pedestrian and Bicycle Information Center
Co-Presenter: Lauren Blackburn North Carolina DOT
Co-Presenter: Lucas Cruse University of South Florida, Center for Urban Transportation Research
Co-Presenter: Billy Hattaway Florida DOT
Awareness on Road Signs and Markings of Drivers and Passengers along Maharlik...IJAEMSJORNAL
Road signs and markings are an integral part of the transportation systems which are logically designed and employed to provide essential road information for commuters’ safety and protection. The study is an evaluation of drivers and passengers’ awareness regarding road signs and markings along Maharlika Highway in the Province of Nueva Ecija particularly between the cities of San Jose and Cabanatuan. While drivers understanding and perception of road signs and markings were very substantial in the study, the perceptions of common passengers wereadded, because they are generally the victims of road accidents. A total of 100 drivers and passengers from the locality were surveyed based on a 4-point Likert scale ranging from strongly disagree (1) to strongly agree (4). The findings showed thatdrivers were aware and knowledgeable about road signs and markings but did not strictly abide by it. Passengers, on the other hand, were not very much aware of road safety features like road signs and markings and relied heavily on the capability of drivers since they believe that drivers were following rules and regulations onroad signs and markings.
NTI 2017 Workshop - Many Uses of GTFS DataSean Barbeau
GTFS data has enabled many different types of multimodal applications. This presentation, which was presented at the 2017 NTI Workshop, discussing the creation, maintenance, and application of GTFS data.
ITS World Congress 2014 - Performance Evaluation of Transit Data Formats on a...Sean Barbeau
Presented at the 2014 ITS World Congress in Detroit, MI.
Over the last decade mobile devices have changed how we access transportation information. However, many past data formats used in information services have been designed without the processing and energy constraints of mobile devices in mind. Newer standards, such as the Service Interface for Real-time Information (SIRI) v2.0, are including mobile-friendly features that reduce the processing overhead on mobile devices. Coupled with the advances in mobile device processing capabilities, many believe that performance is no longer an issue of concern in modern mobile phones. This paper presents an evaluation of the SIRI data format on a mobile device, which indicates that not only is performance still an issue, but that app developers should carefully consider certain software design choices to avoid exposing mobile users to extensive wait times (e.g., wait for real-time transit arrival information). The results also demonstrate that information service providers should always offer mobile-friendly interfaces (i.e., RESTful web services with JSON encoding) when possible. The benchmarking software is made available as an open-source application so that others can perform their own experiments, and so that app developers can use this library as a foundation for building new applications based on the SIRI format.
A recent presentation of the newly launched USF Maps App (http://maps.usf.edu) at USF, which provides students, staff, and visitors with real-time transportation option information in a trip planner and layers format.
Brief overview of a student-driven project at USF to show travel options around the university via a responsible mobile web app, including options via bus, bike, walk, and bike share. Based on the OpenTripPlanner (http://www.opentripplanner.org/) open-source project, and uses data from OpenStreetMap (http://www.openstreetmap.org/) and General Transit Feed Specification (GTFS) and GTFS-realtime feeds. Also uses a real-time bike share
Beta version is available at:
http://mobullity.forest.usf.edu/index.html
See more details at:
https://www.locationaware.usf.edu/ongoing-research/projects/usf-travel-options-app/
OneBusAway - New issue reporting flow in OneBusAway AndroidSean Barbeau
This presentation was created as an orientation to Hillsborough Area Regional Transit (HART) staff for how issues can now be reported via hte OneBusAway Android app, including management of issues related to stops and arrival times via the SeeClickFix issue management site (via Open311).
APTA TransITech 2013 - "Open Transit Data - A Developers Perspective"Sean Barbeau
A discussion of the different types of transit data and mobile application developer's perspective on open data and transit data formats. For the raw Powerpoint with animations, see http://bit.ly/TransITech-Open-Transit-Data.
2014 FPTA-FDOT-CUTR Workshop - OneBusAway - Enhancing Customer Service via Mo...Sean Barbeau
OneBusAway is a suite of open-source software for public transportation, including mobile apps for iPhone, Android, and Windows Phone. This presentation discusses the deployment of OneBusAway in Tampa and the customer service benefits to both transit riders as well as the transit agency, Hillsborough Area Regional Transit (HART), including research results from Georgia Tech. Additionally, future work, including the expansion of OneBusAway to include Pinellas Suncoast Transit Authority in the regional Tampa Bay Area, as well as new customer service tools upcoming in OneBusAway, is also discussed.
Using FME and GTFS datasets to run TransitDatabase.comSafe Software
Public Transit data is largely available in an open-source data format, GTFS. Using FME, this presentation will describe how to efficiently synthesize the extremely large datasets, from cities all over the world into meaningful information used to run TransitDatabase.com.
2015 D-STOP Symposium session by the Network Modeling Center's Ken Perrine. Watch the presentation at http://youtu.be/sSotvhKg3Wc?t=47m44s
Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
Opening the Door to Multimodal Applications - Creation, Maintenance, and Appl...Sean Barbeau
Full 2017 TRB paper at http://bit.ly/TRB2017-GTFS.
The General Transit Feed Specification (GTFS) describes fixed-route public transportation service to facilitate integration of transit information into various applications. The purpose of this report is to provide an overview of the opportunities to use GTFS for many different types of information services for the general public as well as internal agency operations. Many opportunities exist to create new services based on GTFS data — either to provide transit information through a greater range of delivery formats (e.g., new mobile transit applications), or to provide new ways of understanding and using transit information (e.g., for planning and analysis purposes).
For transit agencies that are not openly sharing their data, this report will inform decisions on prioritizing and justifying investments in open data initiatives surrounding GTFS.
For transit agencies that already provide open access to their GTFS data, this report will assist the agency in maximizing their investment in GTFS data by showcasing examples of many new types of applications that utilize the same GTFS data they are already producing.
For Departments of Transportation, Metropolitan Planning Organizations, and other intermodal agencies, this report will assist them in understanding the current state-of-the-art in public transportation information and will help them integrate this data into intelligent transportation systems (ITS) and multimodal traveler information systems.
2009 Sprint Developers Conference - Location Based Services - Best Practices ...Sean Barbeau
Discussion of various aspects of mobile app development surrounding location-based services, including intelligent use of GPS to conserve battery life and reducing network data transfer.
TRB 2014 - Automatic Spatial-temporal Identification of Points of Interest in...Sean Barbeau
Presented at the Transportation Research Board 2014 meeting - Past research in travel surveys has shown that a GPS mobile phone-based survey is a useful tool for collecting information about individuals. While a passive travel survey collection is preferred to an active travel survey method, passive collection remains a challenge due to a lack of high accuracy algorithms to automatically identify trip starts and trip ends. This paper presents Automatic Spatial Temporal Identication of Points of Interest (ASTIPI), an unsupervised spatial temporal algorithm to identify POIs. ASTIPI utilizes the temporal and spatial properties of the dataset to obtain a high accuracy of POI identication, even on a reduced GPS dataset that uses techniques to conserve battery life on mobile devices. While reducing outliers within POIs, ASTIPI also has a linear running time and maintains the temporal orders of the location data so that arrival and departure information can be easily extracted and thus, users' trips can be quickly identied. Using real data from mobile devices,evaluations of ASTIPI and other existing algorithms are performed, showing that ASTIPI obtains the highest accuracy of POI identication with an average accuracy of 88% when performing on full datasets generated using the GPS Auto-Sleep module and an average accuracy of 59% when performing on reduced datasets generated using both the GPS Auto-Sleep module and the Critical Points algorithm.
(C) 2014 USF, Patent Pending
2012 National Academy of Inventors - GPS Auto-Sleep for Energy-Efficient Loca...Sean Barbeau
Description of a software technique and real-world benchmarks for mobile application developers that can significantly reduce the impact of the use of GPS on a mobile device's battery life.
2017 SeeClickFix Workshop - Closing the Loop - Improving Transit through Crow...Sean Barbeau
This presentation describes a pilot project that improved the OneBusAway mobile transit apps to be able to submit user feedback to agencies using the standardized Open311 specification. As of this presentation (late February 2017), these changes are being piloted in the Tampa Bay area along with the SeeClickFix issue management platform by Hillsborough Area Regional Transit and Pinellas Suncoast Transit Authority.
As smart data gradually become mainline data for transportation planning, some obvious flaws in infrastructure decision making become apparent when comparing traditional static data and the dynamic nature of human travel. The static survey, a common source of transportation, encouraged to assign a greater portion of longer trips and predicting more road widening and highways. In reality, shorter trips are dominant in cities. Shared mobility options could provide options for shorter trips. These short trips should be properly corrected and assign in our infrastructure projections when travel demand modeling is developed. Smart data is paving the way to open the door of a new possibility towards shared multimodal cities.
ARE UBIQUITOUS TECHNOLOGIES THE FUTURE VEHICLE FOR TRANSPORTATION PLANNING : ...ijasuc
Origin Destination has become a crucial aspect in long term transportation planning. For Origindestination estimations, wide variety of methods can be used. Conventional methods like home surveys &
roadside monitoring are slow & less effective. Bluetooth & CCTV cameras are also feasible methods for
doing OD study, but have their own downsides. At present, this information contributes to very less
percentage of data collection. Ubiquitous technologies like mobile phones being deployed in the proposed
research is estimated to enhance the data collection and provide a quick & effective OD estimation. In this
paper we discuss how technology becomes the future vehicle for OD.
Are ubiquitous technologies the future vehicle for transportation planning a...ijasuc
Origin Destination has become a crucial aspect in long term transportation planning. For Origindestination
estimations, wide variety of methods can be used. Conventional methods like home surveys &
roadside monitoring are slow & less effective. Bluetooth & CCTV cameras are also feasible methods for
doing OD study, but have their own downsides. At present, this information contributes to very less
percentage of data collection. Ubiquitous technologies like mobile phones being deployed in the proposed
research is estimated to enhance the data collection and provide a quick & effective OD estimation. In this
paper we discuss how technology becomes the future vehicle for OD.
During the 2017 National Regional Transportation Conference, Chandra Ravada shared East Central Intergovernmental Association's work to use smartphone technology to better understand volunteers' movements within Dubuque, Iowa and the surrounding region. This information will improve regional planning and offer opportunities for transit planning.
O Centro de Excelência em BRT Across Latitudes and Cultures (ALC-BRT CoE) promoveu o Bus Rapid Transit (BRT) Workshop: Experiences and Challenges (Workshop BRT: Experiências e Desafios) dia 12/07/2013, no Rio de Janeiro. O curso foi organizado pela EMBARQ Brasil, com patrocínio da Fetranspor e da VREF (Volvo Research and Education Foundations).
With collaborations with various City divisions and private service providers (in this case Streetlight data providers), our North York mobility innovation team uncovered several surprising suburban travel behaviour, patterns and distributions of trips that lead to meaningful and quantitative multimodal mobility planning. This presentation is a summary of project experiences and describes the key findings.
A brief presentation of what's new in GTFS-realtime v2.0. For more details, see the blog post at https://medium.com/@sjbarbeau/whats-new-in-gtfs-realtime-v2-0-cd45e6a861e9.
Public transport service is one of the most preferred
modes of transportation in today’s smart cities. People prefer
public transport mainly for the cost benefit reasons. The
problems faced by the people while using the public transport
can be overcome by the technology such as Internet of Things
(IOT). In this paper, we present how this technology can be
applied to eliminate the problems faced by the passengers of the
public bus transport service. The Internet of Things technology is
used to provide the passengers waiting at the bus stop with real
time information of the arriving buses. Information such as
arrival time, crowd density and traffic information of the
arriving buses are predetermined and provided to the passengers
waiting at the bus stop. The display boards fitted at the bus stops
provide the real time bus navigation information to the waiting
passengers. This Smart Bus Navigation system enables the
passengers to make smart decisions regarding their bus journey.
This system reduces the anxiety and the waiting time of the
passenger’s at the bus stop. The smart bus navigation system
creates a positive impact and increases the number of people who
prefer to use the public mode of transportation.
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Co-Presenter: Jeremy Raw Federal Highway Administration
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Barbeau enabling better mobility through innovations for mobile devices - ost-r 2-18-15-v2
1. Center for Urban Transportation Research | University of South Florida
Enabling Better Mobility Through
Innovations For Mobile Devices
Sean J. Barbeau, Ph.D.
OST-R Speaker Series - February 18, 2015
National Center for Transit Research
2. 2
Opportunities
• 97% of US households have mobile phones (Nov. 2014)
[1]
– Avg. household owns 5.2 connected devices
• Smartphones accounted for 66% of total phone
market in 2014[2]
– Estimated to increase to 9 out of 10 phones in 2018[2]
• Mobile app use up 76% in 2014[2]
• National Center for Transit Research (NCTR)
– UTC focused on public transportation, other
alternatives to single occupancy vehicle travel
[1] http://www.ctia.org/
[2] http://www.gartner.com/newsroom/id/2944819
3. 3
Overview
Problems
• Increase riders
independence via fixed
route transit
• Assess impact of real-time
bus arrival information
• Collecting multimodal data
to support community-
based social marketing
NCTR Project
TRAC-IT
OneBusAway
Travel Assistance Device
(TAD)
Funded by National Center for Transit Research
(NCTR) and Florida Department of Transportation
4. 4
Problem – Exiting the bus
• One of the hardest of the 23 skills necessary
for riding public transportation
– Especially for those with intellectual impairment
– Hardest skill to “travel train”
• Paratransit is expensive for transit agencies
– ~10x the cost of one-way fixed route[1]
• Paratransit limits independence and
spontaneity of travel for some riders
[1] National Transit Database (2005)
National Center for Transit Research
5. 5
TADTAD
Cancel Select
Select Trip
(1) Home to Work
(2) Work to Home
(3) Home to Movie
Work to HomeWork to Home
Back #
Distance to Final Stop:
5.6 miles
18 Livingston West
TADTAD
OK
Pull the Cord Now!
(+Sound and Vibration)
Travel Assistance Device (TAD)
• TAD mobile app tells the traveler to “Get Ready” and
“Pull the Cord Now!” when it is time to exit the bus.
• Prompts are visual, auditory, and tactile
Funded by NCTR, FDOT, TRB IDEA program
6. 6
Evaluation & Results
• Partnered with USF Florida Mental Health Institute &
Hillsborough Area Region Transit
– 3 individuals with moderate intellectual impairments
– Evaluated requesting stop, getting off at correct stop
– ABAB experimental design
– Safeguards in place
• When no prompts were given, all subjects failed to pull
the stop request cord and exit the bus at the correct
location
• When TAD was used, the subjects pulled the stop request
cord and exited the bus at the correct location
• One rider without TAD asked the bus driver for help
– Driver gave the rider incorrect directions
– Rider exited the bus at the wrong stop
Bolechala, Miltenberger, Barbeau, and Gordon. “Evaluating the Effectiveness of the Travel Assistance Device on the Bus Riding Behavior of Individuals
with Disabilities,” 37th Association for Behavior Analysis International (ABAI) Annual Convention, Denver, CO, May 27-31, 2011. Paper #11396.
7. 7
Recognition
• 2 patents granted in 2012
– #8,138,907 - System and method to assist
transit rider with intellectual disability
– #8,169,342 - Algorithm used to notify the
rider when to exit the vehicle
Protected under U.S. patents #8138907, 8169342
“Implementing a TAD in the hands of our trainees will not only help to
reduce the amount of time we must dedicate to each trainee, but it will
open the door of [travel trainers’] availability to many more trainees,”
- Mark Sheppard, Travel Trainer, Hillsborough Area Regional Transit
• Endorsements by those closest to the problem
8. 8
Next Steps
• Identifying partnerships/grants to adapt TAD to
help other populations (e.g., visually impaired,
seniors, tourists/visitors, wheelchair bound, etc.)
• Continued collaboration with USF Florida Mental
Health Institute for evaluations
• Identifying opportunities with Veterans
Administration (VA) to help veterans with multiple
disabilities
• USF Patents and Licensing actively pursuing
licensing opportunities to commercialize TAD
National Center for Transit Research
9. 9
What is OneBusAway?
• What? Suite of tools that provides real-time
bus/train tracking information
– Originally deployed in greater Seattle, WA
– Started as graduate student project at UW, grew
to over 100,000 unique weekly users
• Why? Make riding public transit easier by
providing good info in usable formats
– Research evaluates the impacts
• Includes apps on many platforms:
http://onebusaway.org
Android Windows Phone
iPhone Windows 8
10. 10
Problem – Lack of transit apps
• In some cities, transit apps aren’t as prevalent
• OneBusAway is open-source software
• How can we replicate success of OneBusAway in
other cities?
11. 11
Multi-region architecture
• Region
information is
stored in
centralized server
directory
• Apps now find
nearby regions
using Regions API
• Supports multiple
cities!
Barbeau, Borning, Watkins. “OneBusAway Multi-region: Rapidly expanding mobile transit apps to new cities,” Journal of Public
Transportation – Vol. 17 No. 4 (2014).
12. 12
OneBusAway Tampa
• USF lead a pilot deployment of OneBusAway multi-region in Tampa
• Survey lead by Dr. Candace Brakewood and Dr. Kari Watkins at Georgia Tech*
Objective: Quantify the impacts of real-time bus information on transit rider
behavior and satisfaction in pilot deployment prior to public launch
Methodology: Before and after web-based survey with a non-user (control)
group
BEFORE SURVEY
of Control Group
(approx. 230 participants)
AFTER SURVEY
of Control Group
(107 Non-Users)
BEFORE SURVEY
of OneBusAway Group
(approx. 230 participants)
AFTER SURVEY
of OneBusAway Group
(110 OneBusAway Users)
* Dr. Candace Brakewood is now at City College of New York
No
OneBusAway
13. 13
OneBusAway Tampa - Results
• Significant improvements in the waiting
experience[1]:
– Decreases in self-reported usual wait times by ~2
min.
– Decreases in negative feelings, particularly
frustration
– Increases in satisfaction with wait times
• Other research is ongoing
– Affects ridership? (in NYC, yes![2])
– Issue reporting / rider feedback
[1] Brakewood, Barbeau, Watkins. “An experiment evaluating the impacts of real-time transit information on bus riders in Tampa, Florida”,
Transportation Research Part A: Policy and Practice, Volume 69, November 2014, Pages 409-422
[2] Brakewood, C., Macfarlane, G., and Watkins, K. ”The Impact of Real-Time Information on Bus Ridership in New York City.” Transportation
Research Part C: Emerging Technologies, 2015.
14. 14
TRAC-IT
• Allows “high-definition”
view of travel
• Frequent sampling
allows us to determine:
– Path, distance traveled
– Origin-Destination pairs
– Average speeds
• Two modes:
– “Passive” - GPS only
– “Active” - GPS + input
14
15. 15
Battery Life Problems!
• Infrequent tracking
solves energy, data
problems
• BUT, doesn’t give us
the data we want:
– Path, distance
traveled
– Origin-Destination
pairs
– Avg. speeds
15National Center for Transit Research
16. 16
What is “Stationary”?
Detecting User Movement
Moving Stopped d
4 second
GPS
sampling
5 min.
GPS
sampling
• What if we only sample GPS while the
user is moving?
• GPS noise causes uncertainty in states
• Many false transitions waste battery
energy
17. 17
4 second
GPS sampling
5 min.
GPS sampling
State
0
State
1
State
n – 1
State
n
Move directly to state[0] when speed
exceeds high_speed threshold
Location
Recalculation
Interval = 4 sec.
Location
Recalculation
Interval = 8 sec.
Location
Recalculation
Interval = 64 sec.
Location
Recalculation
Interval = 128 sec.
Move gradually towards state[n] when (speed < low_speed value)
and (distance_between_fixes < distance_threshold).
Move gradually towards state[0]
when (speed < high_speed value)
and (distance_between_fixes >
distance_threshold).
GPS Auto-Sleep - Dynamically change the GPS sampling rate
Moving Stopped
U.S. Patent # 8,036,679 – Optimizing performance of location-aware applications using state machines
19. 19
Critical Point Algorithm
• Purpose – to reduce battery energy expenditures and amount of data transferred by
eliminating non-essential GPS data
• Pre-filters real-time GPS data on mobile device before it is wirelessly transmitted
U.S. Patent # 8,249,807 – Method for Determining Critical Points in Location Data Generated by Location-Based Applications
20. 20
Critical Point Algorithm
• Avg. point reduction of 77% per trip
• Avg. 18.8kB saved per trip
• Average distance error percentage under 10%
• On avg., as Tx interval doubles, battery life doubles
Min Max Avg.
5th
percentile
25th
percentile
50th
percentile
68th
percentile
95th
percentile
Total Critical Point Count 2 322 35 3 13 27 38 97
Total GPS Fix Count 20 3,710 193 31 74 130 188 511
% Savings 20.83% 99.40% 77.43% 47.97% 69.49% 80.00% 86.83% 95.84%
Bytes Saved* 595 403,172 18,883 2,380 6,426 12,138 17,493 54,788
Distance Critical Points (m) 0.00 1,043,805.50 7,437.09 328.14 1,162.37 2,675.00 4,049.37 22,815.61
Total Distance (m) 2.36 1,087,043.20 7,878.02 380.79 1,252.55 2,913.39 4,345.91 24,231.34
Distance Error Percentage 0.00% 100.00% 8.90% 1.94% 3.98% 6.20% 8.70% 24.11%
* Based on 119 bytes per UDP payload
U.S. Patent # 8,249,807 – Method for Determining Critical Points in Location Data Generated by Location-Based Applications
21. 21
Measuring Spatial Patterns of
Activity-Travel for Carsharing
Minor Axis
Major Axis
Standard deviation ellipse (SDE)
Y
X
• USDOT Value Pricing Project
• TRAC-IT w/ 30 participants in
Tampa, avg. 40 days per participant
• Daily emails so users can view data
• Results:
– Carsharing users have smaller
activity space (0.5 sq mi) than non-
carsharing (7.8 sq mi), using SDE
– Activity space of carsharing users
contracts while using carsharing (.2
sq mi vs. 0.5 sq mi), but is directed
Concas, Barbeau, Winters, Georggi, Bond. “Using Mobile Apps to Measure Spatial Travel Behavior Changes of Carsharing Users,”Proceedings of 2013
Transportation Research Board Conference, Washington, D.C., January 13-17, 2013.
22. 22
Problem-solving approach
• Multi-disciplinary – collaboration between:
– Computer Science & Engineering
– Civil Engineering
• Brainstorming meetings
• Target real-world problems with solutions not yet
commercially available
• CUTR => contract & grant-funded
• Leverage existing (or soon-to-exist) commercially-
available mobile devices
• 14 U.S. patents to date
– (see http://bit.ly/CUTRPatents for full list)
National Center for Transit Research
23. 23
Software Tech Transfer
Pros Cons
Patents & Licensing • Exclusive rights to
technology may lead to
more investment from
private sector
• Revenue for university
• Must identify & contract
with a licensee
• Slow - May take a long time
from idea to patent to license
(~3-6 yrs for patent alone)
Open-source software • Fast – available to the
world with the click of a
button
• Open – can create new
collaboration opportunities
(and funding)
• No licensing revenue for
university
• Private sector may be slower
to invest in technology due to
lack of exclusivity
• For open-source software, Apache v2 license offers the most freedom of
use (including private sector)
• Sites such as Github offer “social” code sharing, collaboration
National Center for Transit Research
24. 24
Examples of open-source tech transfer
• OneBusAway
– Deployed new pilot Tampa region in 2013
– In 2013-2014, several new regions have started up:
• Atlanta
• York, Canada
• Washington, D.C. (beta)
• Bear Transit (UC Berkeley) (beta)
– 3 vendors involved with deploying/supporting technology
– MTA in NYC leveraged OneBusAway for their Bus Time system
• OpenTripPlanner for Android
– Developed as multi-modal trip planning tech demo
– Attracted interest/funding via Google Summer of Code
– Now available in 5 countries (10 cities) and 3 languages
National Center for Transit Research
25. 25
Conclusions
• Mobile devices offer many opportunities,
many challenges
• Multi-disciplinary collaboration yields
innovation
• Tech transfer for software
– Patents & licensing and open-source are two
different paths
– Consider your goals when choosing your path
26. 26
Thanks!
Sean J. Barbeau, Ph.D.
barbeau@cutr.usf.edu
813.974.7208
Principal Mobile Software Architect for R&D
Center for Urban Transportation Research
University of South Florida
http://www.linkedin.com/in/seanbarbeau
Protected under U.S. patents #8138907, 8169342
Funded by the National Center for Transit Research and
Florida Department of Transportation
Editor's Notes
NCTR is a Tier 1 University Transportation Research Center at USF
Age 5 to 15 years
6.3
Age 16 to 64 years
12.3
Age 65 years and over
41.0
Survey monkey
Participants randomly assigned to groups
Incentive: free one day bus pass
Response rate for second survey ~60%
To understand how carsharing pricing might affect travel behavior, this study compares the spatial dispersion of out-of-home activities undertaken by participants carrying GPS-enabled mobile phones with TRAC-IT pre-installed, differentiating between those who used the carsharing program and those who did not use the carsharing program in this period.
To measure the spatial extent of out-of-home activities across the urban landscape, researchers employed area-based geometric measures developed in the field of transportation geography. Different metrics that describe the spatial extent of activity locations can be used. The simplest measure is represented by the standard distance circle (SDC) (or standard distance deviation), which is essentially a bivariate (i.e., showing the relationship between two variables) extension of the standard deviation of a univariate distribution. The coordinates represent longitude and latitude measurement of each activity and are reported in meters following the Universal Transverse Mercator (UTM) coordinate system. To analyze the GPS data from the TRAC-IT mobile application, the GPS latitude and longitude measurements were converted from the World Geodetic System (WGS) geographic coordinate system to the UTM coordinate system using the appropriate transformations.
Activity locations are those visited by surveyed individuals during a specified time interval, in this case the weeks of March 7 through April 22, 2011. Thus, the standard distance of an individual’s activity pattern is estimated as the standard deviation (in miles) of each activity location from the mean center of the complete daily activity pattern. While individuals identified as carsharing users engage in shorter trips (2.6 miles) than all other users (4.2 miles), they relied on carsharing to make longer trips (8 miles vs. 1.7 miles for non-carsharing trips).