Event
IOTNAT 2016
The Second International Workshop on Internet of Things: Networking Applications and Technologies (IOTNAT 2016) In Conjunction with the 11th International Conference on Future Networks and Communications (FNC'16) Topics of Interests:
Submitted by Anonymous on April 26th, 2016
Project
CPS: Synergy: Collaborative Research: Matching Parking Supply to Travel Demand towards Sustainability: a Cyber Physical Social System for Sensing Driven Parking
Parking can take up a significant amount of the trip costs (time and money) in urban travel. As such, it can considerably influence travelers' choices of modes, locations, and time of travel. The advent of smart sensors, wireless communications, social media and big data analytics offers a unique opportunity to tap parking's influence on travel to make the transportation system more efficient, cleaner, and more resilient. A cyber-physical social system for parking is proposed to realize parking's potential in achieving the above goals. This cyber-physical system consists of smart parking sensors, a parking and traffic data repository, parking management systems, and dynamic traffic flow control. If successful, the results of the investigation will create a new paradigm for managing parking to reduce traffic congestion, emissions and fuel consumption and to enhance system resilience. These results will be disseminated broadly through publications, workshops and seminars. The research will provide interdisciplinary training to both graduate and undergraduate students. The results of this research also fills a void in our graduate transportation curriculum in which parking management gets little coverage. The investigators will organize an online short training course in Coursera and National Highway Institute to bring results to a broader audience. The investigators will also collaborate with Carnegie Museum of Natural History to develop an online digital map and related educational programs, which will be presented in the museum galleries during public events. Technically, new theories, algorithms and systems for efficient management of transportation infrastructure through parking will be developed in this research, leveraging cutting-edge sensing technology, communication technology, big data analytics and feedback control. The research probes massive individualized and infrastructure based traffic and parking data to gain a deeper understanding of travel and parking behavior, and develops a novel reservoir-based network flow model that lays the foundation for modeling the complex interactions between parking and traffic flow in large-scale transportation networks. The theory will be investigated at different levels of granularity to reveal how parking information and pricing mechanisms affect network flow in a competitive market of private and public parking. In addition, this research proposes closed-loop control mechanisms to enhance mobility and sustainability of urban networks. Prices, access and information of publicly owned on-street and off-street parking are dynamically controlled to: a) change day-to-day behavior of all commuters through day-to-day travel experience and/or online information systems; b) change travel behavior of a fraction of adaptive travelers on the fly who are aware of time-of-day parking information and comply to the recommendations; and c) influence the market prices of privately owned parking areas through a competitive parking market.
1544826
Off
Carnegie Mellon University
Zhen Qian
-
National Science Foundation
http://www.nsf.gov/awardsearch/showAward?AWD_ID=1544826&HistoricalAwards=false
Submitted by Zhen Qian on April 11th, 2016
Project
CPS: Synergy: Collaborative Research: Semi-Automated Emergency Response System
The objective of this research is to design a semi-automated, efficient, and secure emergency response system to reduce the time it takes emergency vehicles to reach their destinations, while increasing the safety of non-emergency vehicles and emergency vehicles alike. Providing route and maneuver guidance to emergency vehicles and non-emergency vehicles will make emergency travel safer and enable police and other first responders to reach and transport those in need, in less time. This should reduce the number of crashes involving emergency vehicles and associated litigation costs while improving medical outcomes, reducing property damage, and instilling greater public confidence in emergency services. At the same time, non-emergency vehicles will also be offered increased safety and, with the reduction of long delays attributed to emergency vehicles, experience reduced incident-related travel time, which will increase productivity and quality of life for drivers. Incorporating connected vehicles into the emergency response system will also provide synergistic opportunities for non-emergency vehicles, including live updates on accident sites, areas to avoid, and information on emergency routes that can be incorporated into navigation software so drivers can avoid potential delays. While the proposed system will naturally advance the quality of transportation in smart cities, it will also provide a platform for future techniques to build upon. For example, the proposed system could be connected with emergency care facilities to balance the load of emergency patients at hospitals, and act as a catalyst toward the realization of a fully-automated emergency response system. New courses and course modules will be developed to recruit and better prepare a future workforce that is well versed in multi-disciplinary collaborations. Video demos and a testbed will be used to showcase the research to the public. The key research component will be the design of an emergency response system that (1) dynamically determines EV routes, (2) coordinates actions by non-emergency vehicles using connected vehicle technology to efficiently and effectively clear paths for emergency vehicles, (3) is able to adapt to uncertain traffic and network conditions, and (4) is difficult to abuse or compromise. The project will result in (1) algorithms that dynamically select EV routes based on uncertain or limited traffic data, (2) emergency protocols that exploit connected vehicle technology to facilitate emergency vehicles maneuvers, (3) an automation module to assist with decision making and maneuvers, and (4) an infrastructure and vehicle hardening framework that prevents cyber abuse. Experiments will be performed on a testbed and a real test track to validate the proposed research.
1544601
Off
Virginia Polytechnic Institute and State University
Pamela Murray-Tuite
-
National Science Foundation
http://www.nsf.gov/awardsearch/showAward?AWD_ID=1544601&HistoricalAwards=false
Submitted by Pamela Murray-Tuite on April 6th, 2016
Project
CPS: Synergy: Collaborative Research: Design and Control of High-performance Provably-safe Autonomy-enabled Dynamic Transportation Networks
During the last decade, we have witnessed a rapid penetration of autonomous systems technology into aerial, road, underwater, and sea vehicles. The autonomy assumed by these vehicles holds the potential to increase performance significantly, for instance, by reducing delays and increasing capacity, while enhancing safety, in a number of transportation systems. However, to exploit the full potential of these autonomy-enabled transportation systems, we must rethink transportation networks and control algorithms that coordinate autonomous vehicles operating on such networks. This project focuses on the design and operation of autonomy-enabled transportation networks that provide provable guarantees on achieving high performance and maintaining safety at all times. The foundational problems arising in this domain involve taking into account the physics governing the vehicles in order to coordinate them using cyber means. This research effort aims to advance the science of cyber-physical systems by following a unique and radical approach, drawing inspiration and techniques from non-equilibrium statistical mechanics and self-organizing systems, and blending this inspiration with the foundational tools of queueing theory, control theory, and optimization. This approach may allow orders of magnitude improvement in the servicing capabilities of various transportation networks for moving goods or people. The applications include the automation of warehouses, factory floors, sea ports, aircraft carrier decks, transportation networks involving driverless cars, drone-enabled delivery networks, air traffic management, and military logistics networks. The project also aims to start a new wave of classes and tutorials that will create trained engineers and a research community in the area of safe and efficient transportation networks enabled by autonomous cyber-physical systems.
1544413
Off
Massachusetts Institute of Technology
Sertac Karaman
-
National Science Foundation
http://www.nsf.gov/awardsearch/showAward?AWD_ID=1544413&HistoricalAwards=false
Submitted by Sertac Karaman on April 5th, 2016
Project
CPS: Synergy: Cyber Physical Regional Freight Transportation System Start
The objective of this project is to develop optimization and control techniques and integrate them with real-time simulation models to achieve load balancing in complex networks. The application case is the regional freight system. Freight moves on rail and road networks which are also shared by passengers. These networks today work independently, even though they are highly interdependent, and the result is inefficiencies in the form of congestion, pollution, and excess fuel consumption. These inefficiencies are observed for example by the peaks of demand across time and space. Inefficiencies exist in part due to lack of information and appropriate tools, and in part due to lack of policies and institutional structures that would promote more integrated operations. The problem is made even more complex due to the large quantities of real time data that will be available to inform the decision-making. This research develops the theoretical foundations of a new approach referred to as COSMO to balance loads across complex dynamical networks with temporal and spacial characteristics. In contrast to current practices where simple mathematical models are used to predict the states of the network the method employs computational simulation models that are far more accurate in estimating the states of the network by taking into account dynamics and complex interactions. The project develops the optimization and load balancing control segments of the cyber physical system and integrate them with real time network simulation models using freight transportation as the driving application area. The research also examines how identified barriers and policy issues/incentives can be incorporated as mathematical constraints and/or control variables in the optimized dynamic freight load balancing system. Data supporting the analysis may include freight characterization, traffic, weather, and other large data volumes. The project will utilize real time data from the port of Los Angeles /Long Beach area to validate the approach. The port of Los Angeles/Long Beach is the port of entry for much of the freight that enters the West Coast, and provides rich sets of data that will stimulate the model especially in regional transportation involving interaction between road/rail/port networks. This fundamental technology in this important transportation domain with direct applications to other large scale freight centers, can be applied to other application domains including networking and smart grid. Besides the broader impact derived from more efficient allocation of transportation resources, the project also provide educational outreach and produce course modules.
1545130
Off
University of Southern California
Petros Ioannou
-
National Science Foundation
http://www.nsf.gov/awardsearch/showAward?AWD_ID=1545130&HistoricalAwards=false
Maged Dessouky
Genevieve Giuliano
Petros Ioannou Submitted by Petros Ioannou on April 1st, 2016
Announcement
Call for Proposals - Global City Teams Challenge Funding Opportunities

The National Institute of Standards and Technology (NIST) launched the 2016 Global City Teams Challenge (GCTC; see http://www.nist.gov/cps/sagc.cfm) with a kickoff meeting on November 12-13, 2015, in Gaithersburg, MD. This meeting brought together city planners and representatives from technology companies, academic institutions, and non-profits with the aim of fostering teams that will contribute to an overall vision for Smart and Connected Communities (S&CC) - effectively integrating networked information systems, sensing and communication devices, data sources, decision-making, and physical infrastructure to transform communities by improving quality of life, environmental health, social well-being, educational achievement, or overall economic growth and stability.

NIST's GCTC builds upon the National Science Foundation's (NSF) longstanding investments in cyber-physical systems (CPS). NSF established the CPS program in 2008 to develop the principles, methodologies, and tools needed to deeply embed computational intelligence, communications, and control, along with new mechanisms for sensing, actuation, and adaptation, into physical systems. The NSF CPS program, which today includes the participation of the U.S. Department of Homeland Security, U.S. Department of Transportation, National Aeronautics and Space Administration, and National Institutes of Health, has funded a strong portfolio of projects that together have pushed the boundaries of fundamental knowledge and systems engineering in core science and technology areas needed to support an ever-growing set of application domains. CPS investments are enabling systems that are central to emerging S&CC infrastructure and services, including in areas such as intelligent transportation systems (ground, aviation, and maritime), building control and automation, advanced manufacturing (including cyber-manufacturing), healthcare and medical devices, and the burgeoning Internet of Things (IoT). Dependability, security, privacy, and safety continue to be central priorities for the program in pursuing the vision of a world in which CPS dramatically improve quality of life. Along the way, the CPS program has also nurtured a vibrant CPS research community.

With this Dear Colleague letter (DCL), NSF is announcing its intention to fund EArly-Concept Grants for Exploratory Research (EAGER) proposals to support NSF researchers participating in the NIST GCTC, with the goal of pursuing novel research on the effective integration of networked computing systems and physical devices that will have significant impact in meeting the challenges of Smart and Connected Communities. Researchers must be members of, or be seeking to establish, GCTC teams that build upon the results of previous or active NSF-funded projects, and must provide evidence of active team membership and participation as part of the submission. [Note that, while this DCL is aligned with NSF’s broader efforts in Smart and Connected Communities (see http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf15120), a key requirement for this DCL is active participation in a GCTC team.] Proposals should emphasize the fundamental research inherent to the real-world problems being addressed; the manner in which the proposed solutions will be adopted by one or more local communities; and the potential challenges with respect to both research and deployment. Successful proposals will quantify the magnitude of potential societal impacts; and will result in transformative, long-term benefits rather than incremental advances. Finally, proposals must address why the work is appropriate for EAGER funding (see details below), including what key risks will be mitigated to facilitate future high-reward advances and why the timing of the project will maximize the potential for success.

The deadline for submission of EAGERs is April 1, 2016, but earlier submissions are encouraged, and decisions will be made on a first-come, first-serve basis.

Submission of EAGER proposals will be via Fastlane or Grants.gov. EAGER submissions should follow the NSF's Grant Proposal Guide (GPG) II.D.2 (see http://www.nsf.gov/publications/pub_summ.jsp?ods_key=gpg). (As noted in the GPG, EAGER is a funding mechanism for supporting exploratory work in its early stages on untested, but potentially transformative, research ideas or approaches. This work may be considered especially "high-risk/high-reward," for example, in the sense that it involves radically different approaches, applies new expertise, or engages novel disciplinary or interdisciplinary perspectives.)

An investigator may be included in only one submission in response to this DCL; if more than one is submitted, only the first one will be considered.

For further information, please contact the cognizant CPS program directors:

  • David Corman, CISE/CNS/CPS, dcorman@nsf.gov
  • Kishan Baheti, ENG/ECCS/EPCN, rbaheti@nsf.gov
  • Sylvia Spengler, CISE/IIS/CPS, sspengle@nsf.gov
  • Gurdip Singh, CISE/CNS/CSR, gsingh@nsf.gov
General Announcement
Not in Slideshow
Submitted by Anonymous on February 12th, 2016
Event
WOCO 2016
1st IFAC/IFIP Workshop on Computers and Control (WOCO 2016) Sponsored and Organised by IFAC TC3.1 Technical Committee on Computers for Control Co-Sponsored by IFIP WG 10.5 Design and Engineering of Electronic Systems WOCO 2016 is the first IFAC Workshop on Computer and Control following previous workshops organized by IFAC Technical Committee 3.3 as Workshop on Real-Time Programming (WRTP) and Algorithms and Architectures for Real-Time Control (AARTC) that were successfully organised during 30 editions.
Submitted by Anonymous on January 28th, 2016
Event
IFSM16
Third International Workshop on Information Fusion for Smart Mobility Solutions (IFSMS15) In conjunction with the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks EUSPN 2016.
Submitted by Anonymous on January 27th, 2016
Project
CPS-EAGER- Experiments with Smart City Hubs: Integration Platform for Human Cyber-Physical Systems In Smart Cities
The objective of this research is to understand the complexities associated with integration between humans and cyber-physical systems (CPS) at large scales. For this purpose, the team will develop and demonstrate the application of Smart City Hubs focusing on intelligent transportation services in urban settings. Ultimately, this project will produce innovative tools and techniques to configure and deploy large-scale scale experiments enabling the study of how humans affect the control loops in large CPS such as smart cities. This work covers several design concerns that are specific to human-CPS such as human computer interfaces, decision support systems and incentives engineering to keep humans engaged with the system. The technology base will include a novel integration platform for allowing (1) integration of spatially and temporally distributed sensor streams; (2) integration of simulation-based decision support systems, (3) development and execution of experiments to understand how advanced decision support tools combined with incentive mechanisms improve the utilization of the transportation infrastructure and user experience. A key aspect of this research will be development of data-driven rider models that can be subsequently used by city engineers for planning purposes. The proposed system will enable a new generation of human-CPS systems where sensing, wireless communication, and data-driven predictive analytics is combined with human decision-making and human-driven actuation (driving and physical infrastructure utilization) to form a control loop. The Smart City Hub provides a generic platform for a number of other services beyond traffic and public transportation, including maps and way finding, municipal communication, emergency management and others. The tools that will be developed will allow researchers and practitioners to more quickly prototype, deploy and experiment with these CPS. To ensure these benefits, the research team will make its research infrastructure freely available as an open-source project. It will also develop educational materials focused on modeling, prototyping and evaluating these applications at scale. In addition, the studies the team will perform will provide new data and new scientific understanding of large-scale human interaction with CPS, which it expects will yield long-term benefits in the design and analysis of such applications.
1528799
Off
Vanderbilt University
Abhishek Dubey
-
National Science Foundation
Abhishek Dubey Submitted by Abhishek Dubey on December 22nd, 2015
Project
EAGER: A Unified Solution of Mixed Traffic Sensing, Tracking and Acceptable Active Accident Avoidance for On-Demand Automated Shuttles in a Smart City
It is expected that in 25 years, Americans who are 65 years or older will account for about 20% of the whole population. As smart cities are also expected to become a reality within the same timeframe, starting to address the needs and concerns of such a large group becomes an essential part of the design of a future smart city. Here we specifically address the mobility needs of the elderly and those with limited means of transportation. We consider multiple small vehicle options that might provide on-demand or scheduled means of door-to-door transportation. The NSF-EAGER project focuses on examining basic research aspects of sensing and tracking potential sources of vehicle pedestrian collisions in densely crowded situations and socially acceptable distance for collision avoidance. The project will be providing input to the OSU/Columbus Global City Teams Challenge activity SMOOTH (Smart Mobile Operation: OSU Transportation Hub) and related demonstrations and help develop a working system. The key innovative contributions of this EAGER project are: development of a unifying framework for sensing and tracking in mixed traffic situations, acceptable automated driving within pedestrian zones, and evasive road maneuvering to avoid colliding with conventional human driven vehicles.
1528489
Off
Ohio State University
Umit Ozguner
-
National Science Foundation
Bilin Aksun-Guvenc
Umit Ozguner Submitted by Umit Ozguner on December 22nd, 2015
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