Description: Our second autonomous vehicle pilot will build upon the “lessons learned” from our 2015 “First Mile/Last Mile” study and will have (a) a demonstration using a street legal neighborhood electric vehicle with on-demand ordering capability, (b) a pilot operation in a chosen pedestrian area on the OSU main campus, (c) demonstration of socially acceptable collision avoidance Challenges: The population of Central Ohio is projected to increase by over 500,000 by 2050. Planning and developing a smart regional transportation system is an important challenge and issue to be addressed. The Ohio State University campus is an excellent testbed to try new modes of transportation like on-demand automated shuttles. These on-demand automated shuttles will also work in pedestrian zones in campuses like the Ohio State University campus. Automated shuttles operating close to large pedestrian groups creates the important problem of socially acceptable collision avoidance with pedestrian groups. Major Requirements: We will continue to develop the technical expertise and build the required relationships/partnerships with the private sector, at OSU, other academic and research entities, and with state and federal organizations. We will also sponsor legislation that will be necessary for future pilots and implementations to occur beyond the Ohio State University core campus. We estimate a base budget for the SMOOTH(2) “Proof of Concept” pilot at $300,000 to $400,000 with a cost-sharing approach between government and industry. If we are awarded the USDOT $40M “Smart City Challenge” we may increase the scope of the pilot deployment in the Ohio State University campus. Performance Targets/ Key Performance Indicators (KPIs): A 20% increase in use of automated electric vehicles in transportation and a reduction of CO2 tons of emissions. Calculations will be made based on one electric vehicle we automate and will use to replace a fossil fuel powered vehicle. This impact will be extrapolated to the number of automated electric vehicles that the City of Columbus plans to implement in its Smart City Challenge proposal plan. Measurement Methods: Measurement will be based on the usage of a fossil fueled vehicle in the OSU campus route(s) chosen for the pilot test. Standards/Interoperability: We will be compatible with the National Architecture and interconnect to multiple transportation venues accordingly. Replicability, Scalability, and Sustainability: Our solution will be based on model based design for ease of replicability, scalability and sustainability. Project Impacts: Safely deploying electric, autonomous vehicles will have a significant impact on lowering CO2 emissions and radically transform the global transportation system. We will be providing a first-mile and last-mile solution to the residents of the Ohio State University campus (replicable in the city and elsewhere). Demonstration/Deployment Phases: Phase I Pilot/Demonstration June 2016: A proof-of-concept AV demo in the Ohio State University campus is planned. New legislation allowing autonomous vehicle testing in the state of Ohio has passed. We are working on how it will affect university campus deployments as the university is not a manufacturer. Phase II Pilot/Demonstration June 2017: A proof-of-concept demo deployment in a pedestrian only zone of the Ohio State University campus is planned. Socially acceptable collision avoidance will be demonstrated.
Description: Our second autonomous vehicle pilot will build upon the “lessons learned” from our GCTC 2015 “First Mile/Last Mile” study (GCTC Action Cluster SMOOTH). The City of Columbus was recently named one of the seven finalists in the US Department of Transportation Smart City Challenge. Our GCTC 2016 project will, therefore, concentrate on a scalable and replicable low speed automated shuttle solution for use in the Smart City of Columbus. This automated shuttle solution will use a small (two-seater) electric driverless vehicle with a scalable and replicable software, hardware control and decision making architecture. The eventual aim of the project is pilot deployment in an urban driving environment with low speed vehicles and intersections at/near the outdoor shopping area of Easton Town Center in Columbus. The scalable and replicable approach will enable the easy adaptation of the same system to other parts of the City of Columbus and to other similar pilot deployment sites in other cities in the US. Challenges: The City of Columbus is a typical mid-sized city in the U.S. with a steadily growing population. Indeed, the population of Central Ohio where Columbus is located is projected to increase by over 500,000 until 2050. Planning and developing a smart regional transportation system is an important challenge and issue to be addressed. Columbus does have a bus system but it is not easily accessible especially by the people who need it most due to the first-mile and last-mile problem. Being one of the seven finalists in the U.S. Department of Transportation Smart City Challenge, the City of Columbus has identified the use of automated electric shuttles as a potential solution to this challenge. The use of electric shuttles will also introduce a beneficial environmental footprint. The SmartShuttle project is on the development and use of low speed automated electric shuttles in a typical deployment site, the Easton Town Center outdoor shopping area. It is expected that the SmartShuttle concept will be easily scaled and replicated for use in other deployment sites in the city and in other cities. Major Requirements: • Develop technical expertise • Build relationships • Address state legislation • Address local legislation • Do proof-of-concept demo • Scale and replicate for other deployments We will continue to develop the technical expertise and build the required relationships/partnerships with the private sector, at OSU, other academic and research entities, and with state and federal organizations. New legislation allowing testing of autonomous vehicles with manufacturer license plates has been accepted in Ohio. We will use it for pilot deployments and implementations within Columbus. We estimate a base budget for the SmartShuttle proof-of- concept” pilot deployment at $300,000 to $400,000 with a cost-sharing approach between government and industry. If we are awarded the USDOT $40M “Smart City Challenge” we may extend the proof-of-concept testing in Easton Town Center to an actual deployment, with deployments in other parts of the city to follow. Performance Targets/ Key Performance Indicators (KPIs): Improvements will be calculated on a per smart shuttle basis and will be extrapolated based on the number of vehicles planned in actual deployments. A 20% improvement in the traffic jams in the Easton Town Center area and other SmartShuttle deployment sites as the automated electric vehicles will replace a certain portion of road traffic. A 50% improvement in solving the first-mile and last-mile problem in the deployment sites. A 20% reduction in air pollution due to traffic in the deployment sites. Measurement Methods: The traffic jam improvement will be determined and extrapolated for a larger deployment. The number of people in bus stops using the on-demand automated shuttles will be recorded. The tons of CO2 reduction based on reduced emissions from drive alone vehicles replaced by the electric shuttles will be used for air pollution reduction computation. Standards/Interoperability: There are currently no established standards especially for low speed automated shuttles. Interoperability of shuttles from different vendors using different automation and operation architectures is a serious concern. We will develop a unified and hence interoperable architecture for this purpose. An NSF EAGER project for the NIST GCTC call has been proposed for this purpose. Replicability, Scalability, and Sustainability: The automated shuttles used will have a scalable and unified automation solution, making the results easily transferrable to other vehicle types and other pilot deployment. This will enable the scaling and replication of the automated shuttle solution in Easton Town Center to other parts of Columbus (downtown area, OSU campus) and to other cities. Project Impacts: We will be providing a full mobility solution to people who could not easily commute to work due to the first-mile, last-mile problem increasing their chances of getting a job. There will be a reduction in traffic jams, which will increase the quality of life of those people who are affected by it. There will be an improvement in air quality and heavily populated area due to the use of electric vehicles. Columbus and Ohio will experience economic growth due to the new jobs created by the automated shuttle industry including development, operation and maintenance. Demonstration/Deployment Phases: Phase I Demonstration June 2016: The demonstration in June 2016 will use a street legal and automated two seat neighborhood electric vehicle. This vehicle is already equipped with 4G connectivity by Verizon. This demo will show its architecture and its automated driving capabilities. Phase II Demonstration June 2017: The aim of the June 2017 proof-of-concept demo is to use the same automated neighborhood electric vehicle in the Easton Town Center outdoor shopping area within a mixed traffic environment with other vehicles and pedestrians. Success of the Smart City Challenge application of the City of Columbus will have an important impact on this second demo as the Easton Town Center will have a fleet of autonomous electric vehicles operating in a loop in that case. This will ease the demo deployment which is aimed at the inner loop in the Easton Town Center area. The City of Portland is also a Smart City Challenge finalist. If the City of Portland is successful in its Smart City Challenge proposal, the results will be transferred to a chosen site in Portland. The cities of Greenville, Boston and Washington D.C. are also interested in deploying the results of the SmartShuttle technical cluster and will have the chance to do so by working with the cluster leads and the manufacturer of the automated vehicle.
Many people in the United States do not live or work close to public transportation (e.g., bus, train, metro). They are often faced with the ‘first mile’ problem—getting to the bus stop to initiate mobility . T ransportation stops are not always close to the last point of interest (e.g., grocery store, mall, pharmacy, work). This creates the ‘last mile’ problem—how to reach your final destination after you get off the bus. While walking may be a solution for some, it is not viable for everyone (e.g., the elderly, handicapped, parents with small children). The SMOOTH project uses a network of on-demand automated vehicles linked with applications that enable passengers to schedule and track on-demand vehicles using their smartphones. SMOOTH will operate in the city of Columbus, Ohio, with the Ohio State University (OSU) Transportation Hub providing transport between selected stops within the outer campus and automated shuttle driving within the main campus.
Description: This project will use wearable sensors to monitor allergens and irritants that can trigger asthma attacks and warn caregivers of potential asthma attacks in real time. For example, it will be able to detect when someone is smoking in the presence of a child and fire off a real time warning. All this will happen in accordance with HIPAA requirements. Challenges: Finding the wearable sensors best able to predict challenges. Getting the children to always wear their sensors. Prevent loss of sensors and smart phones. Integrating the cyber-physical systems for the project. Major Requirements: 1. Set up open big data repository for sensor data. 2. Identify the participating health care organizations in a city. 3. Get families to sign up. 4. Implement HIPAA-compliant sensor monitoring and warnings. 5. Educate caregivers to modify their behavior (stop smoking in the presence of an asthmatic child). 6. Use real time big data analytics to identify potential asthma attacks from the sensor data and other data sources Key Performance Indicators (KPIs): Reduce the number of hospital ED visits and admissions for asthma attacks by 30% for children using wearable sensors. Measurement Methods: Provide sensors in high-risk zip codes (inner city, below poverty level, already known to hospitals). Determine the percent of total ED visits and admissions in these zip codes before and after many sensors are deployed. Determine the percent of ED visits and admissions for children with wearable sensors. This data will be provided by the participating hospitals. Standards/Interoperability: HIPAA compliance Encryption standards Network standards Replicability, Scalability, and Sustainability: The project can be used in any other city. The only non-essential modification might be the automatic inclusion of the warning messages in a child’s medical record. Project Impacts: Asthma is an increasing problem that cost the US $57 billion in 2007. Just under 10% of children age 15 or less are asthmatics. It is the #1 childhood chronic disease and the 3rd leading cause of childhood hospital admissions. Demonstration: Phase I Pilot/Demonstration June 2016: Deploy and test with children in high risk zip codes (as identified by Dayton Children’s Hospital) in Montgomery County (Dayton), OH. Phase II Deployment June 2017: Provide software to health care institutions in Cuyahoga County, Ohio and other partner cities. Provide recommendations on sensors and smart phones.
This team will showcase Gallery One, which has brought the Internet of Things (IoT) and Big Data technology to Cleveland Museum of Art’s collection making art accessible in new ways and engaging new audiences. Established as a nonprofit in 2003, OneCommunity is working to turn Northeast Ohio into a Smart Region that directs resources to support technological innovation and superb overall quality of life for citizens. At the center is OneCommunity’s ultra-high-speed, fiber-optic broadband network, which provides data service for more than 2,300 public institutions such as hospitals, schools, libraries and government offices. This broadband network serves as a platform for innovation and collaboration, enabling a variety of beneficial programs and applications in healthcare, education, government and public safety. It is also an ideal test environment for researchers, technology companies and entrepreneurs. To contact this team please email : Marv Schwartz ([email protected])