Applications of CPS technologies used in the planning, functional design, operation and management of facilities for any mode of transportation in order to provide for the safe, efficient, rapid, comfortable, convenient, economical, and environmentally compatible movement of people and goods.
Event
Smart Cities Week
Smart Cities Week Smart Cities Week® is the first major smart cities event in North America to bring together public and private sector visionaries, including officials from all levels of government and leading companies actively deploying smart technologies in cities around the globe.  This premier event, hosted by the Smart Cities Council, will showcase leading-edge companies and cutting-edge solutions in fresh and exciting ways. Contact us today to learn about Diamond, Gold and Platinum sponsorship opportunities.
Submitted by Anonymous on May 19th, 2016
News Item
PCAST Releases Technology and the Future of Cities Report to the President
The President's Council of Advisors on Science and Technology report recommends ways
Submitted by Anonymous on May 19th, 2016
Announcement
ARPA-E Funding Opportunity: NEXT-Generation Energy Technologies for Connected and Automated on-Road-vehicles (NEXTCAR)

The U.S. Department of Energy’s Advanced Research Projects Agency-Energy (ARPA-E) announced up to $30 million in funding for two new programs that aim to solve some of the nation’s most pressing energy challenges by accelerating the development of novel energy technologies. NEXT-Generation Energy Technologies for Connected and Automated on-Road vehicles (NEXTCAR) seeks to develop new technologies that decrease energy consumption of future vehicles through the use of connectivity and automation.

“We must continue to invest in programs that encourage the scientific community to think boldly and differently about our nation’s energy future,” said ARPA-E Director Dr. Ellen D. Williams. “The NEXTCAR program’s focus on exploiting automation to improve energy efficiency in future vehicles."

Significant research and development is underway to make future vehicles more connected and automated in order to reduce road accidents and traffic fatalities, but these technologies can also be leveraged to improve energy efficiency in future vehicles. The NEXTCAR program is providing up to $30 million in funding to create new control technologies that reduce the energy consumption of future vehicles by using connectivity and vehicle automation. The program seeks transformative technological solutions that will enable at least a 20 percent reduction in the energy consumption of future Connected and Automated Vehicles (CAVs), compared to vehicles without these technologies. 

For more information and to view the full funding opportunity announcement, please click here. 

General Announcement
Not in Slideshow
Submitted by Michael Kane on May 11th, 2016
Event
RTNS 2016
 24th International Conference on Real-Time Networks and Systems (RTNS) CONFERENCE RTNS is a friendly conference with a great sense of community that presents excellent opportunities for collaboration. Original unpublished papers on all aspects of real-time systems and networks are welcome. The proceedings are published by the ACM ICPS (approval pending). RTNS covers a wide-spectrum of topics in real-time and embedded systems, including, but not limited to:
Submitted by Anonymous on May 9th, 2016
Announcement
CPSE Labs: Funding opportunity in innovative cyber-physical products, services and tools

CPSE Labs: Funding opportunity for engineering and technology businesses and research institutions.

A new European initiative provides a unique opportunity for technology businesses to win funding for innovation activities.  Organizations can apply for up to €150,000 to fund an industrial experiment, and successful applications will also receive technical support from one of Europe's top research centres.

To apply, engineering and technology businesses should describe an industrial experiment they would like to carry out and submit it before the 22nd June deadline.  Proposals should be in "cyber-physical systems" (CPSs).  These are systems that include computational elements as well as interaction with the physical world (e.g., through actuators and/or sensors).  Many firms working in ICT, IoT, embedded systems or engineering will find they are eligible to apply for funding and support.  Relevant application areas are wide-ranging and include: adaptive production systems; urban sustainability; smart cities; autonomous vehicles; and maritime engineering. 

This opportunity is created by the EU-funded CPSE Labs project, which aims to support Europe's innovators.  The project has brought together nine of Europe's top design & research labs, into a pan-European network spanning five countries.  Each funded experiment will be partnered with a research centre, to equip successful applicants with infrastructure, knowledge, and tools needed to support rapid development of innovative CPS products and services.

Detailed information about the Open Call is available on the CPSE Labs website: www.cpse-labs.eu/calls.php

General Announcement
Not in Slideshow
Submitted by Anonymous on May 9th, 2016
Event
MSWiM 2016
19th ACM*/IEEE*  19th Annual International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2016) *Pending Upon Approval
Submitted by Anonymous on April 27th, 2016
Event
EUC 2016
14th IEEE International Conference on Embedded and Ubiquitous Computing (EUC 2016)  Paris, France | August 24-26, 2016 | http://euc2016.conferences-events.org/ In conjunction with DCABES 2016 and CSE 2016 by MINES ParisTech - Research University, CentraleSupelec and UFC/FEMTO-ST Institute Introduction
Submitted by Anonymous on April 26th, 2016
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: TTP Option: Synergy: Collaborative Research: Threat-Assessment Tools for Management-Coupled Cyber- and Physical- Infrastructure
Strategic decision-making for physical-world infrastructures is rapidly transitioning toward a pervasively cyber-enabled paradigm, in which human stakeholders and automation leverage the cyber-infrastructure at large (including on-line data sources, cloud computing, and handheld devices). This changing paradigm is leading to tight coupling of the cyber- infrastructure with multiple physical- world infrastructures, including air transportation and electric power systems. These management-coupled cyber- and physical- infrastructures (MCCPIs) are subject to complex threats from natural and sentient adversaries, which can enact complex propagative impacts across networked physical-, cyber-, and human elements. We propose here to develop a modeling framework and tool suite for threat assessment for MCCPIs. The proposed modeling framework for MCCPIs has three aspects: 1) a tractable moment-linear modeling paradigm for the hybrid, stochastic, and multi-layer dynamics of MCCPIs; 2) models for sentient and natural adversaries, that capture their measurement and actuation capabilities in the cyber- and physical- worlds, intelligence, and trust-level; and 3) formal definitions for information security and vulnerability. The attendant tool suite will provide situational awareness of the propagative impacts of threats. Specifically, three functionalities termed Target, Feature, and Defend will be developed, which exploit topological characteristics of an MCCPI to evaluate and mitigate threat impacts. We will then pursue analyses that tie special infrastructure-network features to security/vulnerability. As a central case study, the framework and tools will be used for threat assessment and risk analysis of strategic air traffic management. Three canonical types of threats will be addressed: environmental-to-physical threats, cyber-physical co-threats, and human-in-the-loop threats. This case study will include development and deployment of software decision aids for managing man-made disturbances to the air traffic system.
1544863
Off
University of North Texas
Yan Wan
https://engineering.unt.edu/electrical/drwan/research
-
National Science Foundation
http://www.nsf.gov/awardsearch/showAward?AWD_ID=1544863&HistoricalAwards=false
Yan Wan Submitted by Yan Wan on April 25th, 2016
Project
CPS: Synergy: Collaborative Research: Adaptive Intelligence for Cyber-Physical Automotive Active Safety-System Design and Evaluation
The automotive industry finds itself at a cross-roads. Current advances in MEMS sensor technology, the emergence of embedded control software, the rapid progress in computer technology, digital image processing, machine learning and control algorithms, along with an ever increasing investment in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technologies, are about to revolutionize the way we use vehicles and commute in everyday life. Automotive active safety systems, in particular, have been used with enormous success in the past 50 years and have helped keep traffic accidents in check. Still, more than 30,000 deaths and 2,000,000 injuries occur each year in the US alone, and many more worldwide. The impact of traffic accidents on the economy is estimated to be as high as $300B/yr in the US alone. Further improvement in terms of driving safety (and comfort) necessitates that the next generation of active safety systems are more proactive (as opposed to reactive) and can comprehend and interpret driver intent. Future active safety systems will have to account for the diversity of drivers' skills, the behavior of drivers in traffic, and the overall traffic conditions. This research aims at improving the current capabilities of automotive active safety control systems (ASCS) by taking into account the interactions between the driver, the vehicle, the ASCS and the environment. Beyond solving a fundamental problem in automotive industry, this research will have ramifications in other cyber-physical domains, where humans manually control vehicles or equipment including: flying, operation of heavy machinery, mining, tele-robotics, and robotic medicine. Making autonomous/automated systems that feel and behave "naturally" to human operators is not always easy. As these systems and machines participate more in everyday interactions with humans, the need to make them operate in a predictable manner is more urgent than ever. To achieve the goals of the proposed research, this project will use the estimation of the driver's cognitive state to adapt the ASCS accordingly, in order to achieve a seamless operation with the driver. Specifically, new methodologies will be developed to infer long-term and short-term behavior of drivers via the use of Bayesian networks and neuromorphic algorithms to estimate the driver's skills and current state of attention from eye movement data, together with dynamic motion cues obtained from steering and pedal inputs. This information will be injected into the ASCS operation in order to enhance its performance by taking advantage of recent results from the theory of adaptive and real-time, model-predictive optimal control. The correct level of autonomy and workload distribution between the driver and ASCS will ensure that no conflicts arise between the driver and the control system, and the safety and passenger comfort are not compromised. A comprehensive plan will be used to test and validate the developed theory by collecting measurements from several human subjects while operating a virtual reality-driving simulator.
1544814
Off
Georgia Institute of Technology
Panagiotis Tsiotras
-
National Science Foundation
http://www.nsf.gov/awardsearch/showAward?AWD_ID=1544814&HistoricalAwards=false
Karen Feigh
Submitted by Panagiotis Tsiotras on April 25th, 2016
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