Collective Transport of Unconstrained Objects via Implicit Coordination and Adaptive Compliance

Author(s):  
Nicole E. Carey ◽  
Justin Werfel
2007 ◽  
Vol 101 (2) ◽  
pp. 024316 ◽  
Author(s):  
F. Ruffino ◽  
A. M. Piro ◽  
G. Piccitto ◽  
M. G. Grimaldi
Keyword(s):  

2018 ◽  
Vol 10 (11) ◽  
pp. 4282 ◽  
Author(s):  
Gonzalo Fernandez-Sanchez ◽  
Alvaro Fernandez-Heredia

The sustainable mobility of the future comes about through sustainable ways of transport, such as walking, cycling, or collective transport. This includes the bus, the underground, and trains in big cities. This article reviews bus-related policies and initiatives worldwide. It also analyses ten cities looking at medium and long-term strategies for the urban bus service. The main ideas are: the forecasts for the use of the urban bus system indicate a significant increase in demand, therefore, there is a need for expanding the offered services; efforts to change the fleets towards Compressed Natural Gas and Electric vehicles; support of technological innovation for communication and accessibility; improving commercial speed and frequencies by infrastructure improvements, operation optimisation and technology; and, the link between these strategies and the air quality of cities. The transition towards a sustainable transport will happen based on the belief that the bus service is no longer the transport of the past or the present, but of the future.


TERRITORIO ◽  
2009 ◽  
pp. 154-160
Author(s):  
Marco Facchinetti

- This research study sought to understand the real dynamics of urban growth, the forecasts existing in local urban plans and supra-local plans, the development projects and hypotheses of growth in infrastructure networks in a limited but central area of the general plan in the western province of Florence and the province of Prato. While there has been a substantial increase in planned infrastructures, for which the programmes have been verified by research studies, there has been no equally important co-ordination of forecasts of growth, expansion or urban transformation. On the basis of these assumptions, the research conducted asked whether it was possible to design a type of development with respect to the forecasts of current plans, which attempts to reorganise the Florentine metropolitan area by means of collective transport networks. This would be done by identifying a sustainable growth strategy, by examining which urban planning model would best meet that objective and at the same time by addressing issues such as containing land use and reducing the demand for private transport by increasing densities around the nodes.


2013 ◽  
Author(s):  
Pedro Marques-Quinteiro ◽  
Luís Curral ◽  
Ana Margarida Passos ◽  
Kyle Lewis

Author(s):  
Frank van der Hoeven

Demand responsive transport systems such as paratransit could deliver services that collective transport simply cannot provide. Location-based services may be capable of bridging the divide between transport services without fixed routes, stops or schedules and their potential users. This chapter outlines how the integration of demand responsive transport and location-based services may help to deliver a flexible transport system that is sensitive to the needs of individual users in urban and rural areas. Such a system would have the potential to liberate urbanism from the need to orient spatial development on rigid transit lines.


Author(s):  
Alejandro Rodríguez ◽  
Alexander Grushin ◽  
James A. Reggia

Drawing inspiration from social interactions in nature, swarm intelligence has presented a promising approach to the design of complex systems consisting of numerous, simple parts, to solve a wide variety of problems. Swarm intelligence systems involve highly parallel computations across space, based heavily on the emergence of global behavior through local interactions of components. This has a disadvantage as the desired behavior of a system becomes hard to predict or design. Here we describe how to provide greater control over swarm intelligence systems, and potentially more useful goal-oriented behavior, by introducing hierarchical controllers in the components. This allows each particle-like controller to extend its reactive behavior in a more goal-oriented style, while keeping the locality of the interactions. We present three systems designed using this approach: a competitive foraging system, a system for the collective transport and distribution of goods, and a self-assembly system capable of creating complex 3D structures. Our results show that it is possible to guide the self-organization process at different levels of the designated task, suggesting that self-organizing behavior may be extensible to support problem solving in various contexts.


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