Towards a Smart World: Hazard Levels for Monitoring of Autonomous Vehicles’ Swarms

This work explores the creation of quantifiable indices to monitor the safe operations and movement of families of autonomous vehicles (AV) in restricted highway-like environments. Specifically, this work will explore the creation of ad-hoc rules for monitoring lateral and longitudinal movement of multiple AVs based on behavior that mimics swarm and flock movement (or particle swarm motion). This exploratory work is sponsored by the Emerging Leader Seed grant program of the Mineta Transportation Institute and aims at investigating feasibility of adaptation of particle swarm motion to control families of autonomous vehicles. Specifically, it explores how particle swarm approaches can be augmented by setting safety thresholds and fail-safe mechanisms to avoid collisions in off-nominal situations. This concept leverages the integration of the notion of hazard and danger levels (i.e., measures of the “closeness” to a given accident scenario, typically used in robotics) with the concept of safety distance and separation/collision avoidance for ground vehicles. A draft of implementation of four hazard level functions indicates that safety thresholds can be set up to autonomously trigger lateral and longitudinal motion control based on three main rules respectively based on speed, heading, and braking distance to steer the vehicle and maintain separation/avoid collisions in families of autonomous vehicles. The concepts here presented can be used to set up a high-level framework for developing artificial intelligence algorithms that can serve as back-up to standard machine learning approaches for control and steering of autonomous vehicles. Although there are no constraints on the concept’s implementation, it is expected that this work would be most relevant for highly-automated Level 4 and Level 5 vehicles, capable of communicating with each other and in the presence of a monitoring ground control center for the operations of the swarm

Planning for Density in a Driverless World

Automobile-centered, low-density development was the defining feature of population growth in the United States for decades. This development pattern displaced wildlife, destroyed habitat, and contributed to a national loss of biodiversity. It also meant, eventually, that commutes and air quality worsened, a sense of local character was lost in many places, and the negative consequences of sprawl impacted an increasing percentage of the population. Those impacts led to something of a shift in the national attitude toward sprawl. More people than ever are fluent in concepts of “smart growth,” “new urbanism,” and “green building,” and with these tools and others, municipalities across the country are working to redevelop a central core, rethink failing transit systems, and promote pockets of density. Changing technology may disrupt this trend. Self-driving vehicles are expected to be widespread within the next several decades. Those vehicles will likely reduce congestion, air pollution, and deaths, and free up huge amounts of productive time in the car. These benefits may also eliminate much of the conventional motivation and rationale behind sprawl reduction. As the time-cost of driving falls, driverless cars have the potential to incentivize human development of land that, by virtue of its distance from settled metropolitan areas, had been previously untouched. From the broader ecological perspective, each human surge into undeveloped land results in habitat destruction and fragmentation, and additional loss of biological diversity. New automobile technology may therefore usher in better air quality, increased safety, and a significant threat to ecosystem health. Our urban and suburban environments have been molded for centuries to the needs of various forms of transportation. The same result appears likely to occur in response to autonomous vehicles, if proactive steps are not taken to address their likely impacts. Currently, little planning is being done to prepare for driverless technology. Actors at multiple levels, however, have tools at their disposal to help ensure that new technology does not come at the expense of the nation’s remaining natural habitats. This Article advocates for a shift in paradigm from policies that are merely anti-car to those that are pro-density, and provides suggestions for both cities and suburban areas for how harness the positive aspects of driverless cars while trying to stem the negative. Planning for density regardless of technology will help to ensure that, for the world of the future, there is actually a world

Consumer's behaviour in assessing environmental impact of consumption - State of the art and challenges for modelling consumer's behaviour in life cycle-based indicators

The European Commission (EC) has been developing an assessment framework to monitor the evolution of environmental impact associated to the European Union (EU) consumption. The assessment framework should help to support a wide array of policies, such as those related to resource efficiency, eco-innovation and circular economy. The environmental impact of EU consumption is assessed adopting two sets of life cycle-based indicators: the Consumption footprint and the Consumer footprint, which have a complementary role in assessing those impacts. The EU Consumer Footprint is the measurement of the environmental impacts based on the life cycle assessment (LCA) of products (or services) purchased and used in one year by an EU citizen. This is based on the results of LCAs of representative consumed products (and services, where relevant). Within the framework of this project, a dedicated area of research focused on the “Product use phase and consumption scenarios”, aiming at the examination of consumer behaviour types in view of further refinement of product use phase modelling and in support to the definition of scenarios on improved environmental behaviours. Whereas the production-based perspective helps in identifying domestic sectors, product groups and products responsible for emissions and resource use, the consumption-based perspective looks at the overall environmental impact induced by the domestic consumption. Each of the two perspectives on environmental impact has its use for policy-makers. This report is addressing variability in the use phase grounded on consumers' actual behaviour patterns, with reference to the aims presented before. After a brief review of theories and models explaining consumer behaviours, this report discusses the main approaches for measuring the environmental impacts of consumption and the key drivers that influence consumers’ shift towards more envrionmentally friendly consumption choices and behaviours. Moreover, the possible link between behavioural sciences and Life Cycle Assessment, through the development of scenarios on consumer behaviour applied to the Basket of Products (BoPs) is discussed, together with the possibility to capture the rebound effects in these scenarios. Current knowledge gaps and related research needs are illustrated in the concluding section, highlighting possible future paths of research for the integration of behavioural economics into environmental assessment (e.g. to capture the rebound effects induced by household expenditure structure shifting, based on Engel’s curve), and to complement and further improve the approaches discussed herein.JRC.D.1-Bio-econom

2017 Texas Bays and Estuaries Meeting

Program for the 2017 Texas Bays and Estuaries Meeting held in Port Aransas, Texas, April 12-13, 2017.Coastal Bend Bays & Estuaries Program, Coastal Bend Bays Foundation, The University of Texas Marine Science Institute, Sea Grant Texas at Texas A&M University, Harte Research Institute for Gulf of Mexico Studies, and Mission Aransas National Estuarine Research Reserve.Marine Scienc

Gender and innovation processes in integrated fish agri-food systems in Bangladesh and the Philippines: Insights from the CGIAR Research Program on FISH

This FISH report provides insights on the interactions between gender norms, agency, and innovation in fish agri-food systems

Resilience and Controllability of Dynamic Collective Behaviors

The network paradigm is used to gain insight into the structural root causes of the resilience of consensus in dynamic collective behaviors, and to analyze the controllability of the swarm dynamics. Here we devise the dynamic signaling network which is the information transfer channel underpinning the swarm dynamics of the directed interagent connectivity based on a topological neighborhood of interactions. The study of the connectedness of the swarm signaling network reveals the profound relationship between group size and number of interacting neighbors, which is found to be in good agreement with field observations on flock of starlings [Ballerini et al. (2008) Proc. Natl. Acad. Sci. USA, 105: 1232]. Using a dynamical model, we generate dynamic collective behaviors enabling us to uncover that the swarm signaling network is a homogeneous clustered small-world network, thus facilitating emergent outcomes if connectedness is maintained. Resilience of the emergent consensus is tested by introducing exogenous environmental noise, which ultimately stresses how deeply intertwined are the swarm dynamics in the physical and network spaces. The availability of the signaling network allows us to analytically establish for the first time the number of driver agents necessary to fully control the swarm dynamics

Cities in transition 2016 : studying public life in the Philippines

The Cities in Transition Studio course has run at Aalto University (Aalto) under different names since 1993. In previous years the field trip, which forms an essential part of the course, has taken students to Senegal, Benin, Cambodia and Tanzania. The course aims to teach students about the environmental, economic and socio-cultural impacts of architecture and urban planning. Collaborating with universities, NGOs and municipal and national authorities helps students gain a broader understanding of the local context, but also aims at long-term capacity building in the host country. Each year the course takes on real life cases in a city in the developing world. 2016 was the second year that Cities in Transition collaborated with Nagoya Institute of Technology (NIT) from Japan focusing on Bohol Island in the Philippines. Students delved into urban planning challenges in the fast growing city of Tagbilaran that faces frequent natural disasters. Data collection and analysis were conducted during a field trip hosted by Bohol Island State University (BISU), after which students continued their design work in Finland and Japan. This book is divided into three main parts focusing on background research done before the trip, site analysis conducted in Tagbilaran and the design projects developed in response to the issues uncovered. It serves as documentation of a design process as well as providing methods and ideas for those interested in replicating a similar study

Electrical and Computer Engineering Annual Report 2017

Early Career Awards Faculty Directory Faculty Highlights Special Report: Mobility at Michigan Tech Faculty Publications Staff Profile & Directory Graduate Student Research Accelerated Master\u27s Degree Graduate Student Awards & Degrees Undergraduate Highlights Senior Design Enterprise Undergraduate Student Awards & Advisory Grants & Contracts Departmental Statistics A Pioneer\u27s Storyhttps://digitalcommons.mtu.edu/ece-annualreports/1001/thumbnail.jp

MIXED-USE SAFETY ON RURAL FACILITIES IN THE PACIFIC NORTHWEST: Consideration of Vehicular, Non-Traditional, and Non-Motorized Users

In the United States, one in 12 households do not own a personal automobile and approximately 13% of those who are old enough to drive do not. Trips by these individuals are being made in one of many other possible modes, creating the need to “share space” between many forms of travel. The goal of this project is to: improve safety and minimize the dangers for all transportation mode types while traveling in mixed-use environments on rural facilities through the development and use of engineering and education safety measures. To that end, this report documents three specific efforts by the project team. First, a comprehensive literature review of mixed-use safety issues with consideration of non-motorized and non-traditional forms of transportation. Second, a novel analysis of trauma registry data. Third, development, execution and analysis of the Pacific Northwest Transportation Survey geared toward understanding safety perceptions of mixed-use users. Most notably, findings indicate that ATVs (and similar non-traditional-type vehicles) are used on or near roads 24% of the time and snowmachines are used on or near roads 23% of the time. There are significantly more (twice as many) ATV-related on-road traumas in connected places than isolated places in Alaska and three times more traumas in highway connected places than in secondary road connected places. Comparably, bicycles had 449 on-road traumas between 2004 and 2011 whereas ATVs had 352 on-road traumas. Users of all modes who received formalized training felt safer in mixed-use environments than those who reported having no training at all