COSMOS - Congestion management strategies and methods in urban sites.

The paper describes the strategies for Congestion and Incident Management (CIM) on the basis of Automatic Congestion and Incident Detection (ACID) that COSMOS will develop, implement in SCOOT, UTOPIA and MOTION, and validate and demonstrate in London, Piraeus and Torino. Four levels of operation were defined for CIM: strategies, tactics, tools and realisation. The strategies for CIM form the top level of this hierarchy. They have to reflect the strategic requirements of the system operators. The tactics are the means that can be employed by the strategies to achieve particular goals in particular situations. The tools that are used by the tactics relate to the elements of the signal plan and the ways in which they can be modified. Strategies, tactics and tools are generally common to all three systems, while the realisation of individual strategies and tactical decisions, through the use of particular common sets of tools, will generally be system specific. For the covering abstract, see IRRD 490001.

Maritime policy in Scotland.

This paper begins by defining the meaning of the term `maritime policy'. Since devolution in the UK, the opening of the new Scottish parliament in 1998 and the creation of the Scottish Executive, little effort has been made to establish a distinct maritime policy for Scotland. As was evident prior to devolution, the primary emphasis from any maritime policy perspective has continued to be a focus on lifeline island ferry services. This ignores significant developments in several other key maritime transport sectors, and this paper provides examples of areas that require some form of policy response, including intra-European short sea shipping, UK coastal shipping, urban/river transport and global container shipping. Long-standing institutional bias against maritime transport coupled with subsidy devoted almost entirely to land transport systems has resulted in a quite distorted marketplace. This suggests that a maritime policy is now imperative if maritime transport is to play a more significant role in the overall transport system. Further discussion centres on the need to consider, from a Scottish policy perspective, the role of various state-sponsored maritime service providers and how these bodies might fit better within evolving policy. The conclusion is that formulation of a maritime policy by the Scottish Executive is overdue and that a degree of restructuring of transport responsibilities within the Executive, combined with adequate resource allocation towards the maritime industry, will be necessary in order that market distortions can be overcome, so enabling Scotland to fully exploit the competitive and environmental advantages that maritime transport can provide.

CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity.

It is in the interests of everybody that the environment is protected. In view of the recent leaps in environmental awareness it would seem timely and sensible, therefore, for people to pool vehicle resources to minimise the damaging impact of emissions. However, this is often contrary to how complex social systems behave – local decisions made by self-interested individuals often have emergent effects that are in the interests of nobody. For software engineers a major challenge is to help facilitate individual decision-making such that individual preferences can be met, which, when accumulated, minimise adverse effects at the level of the transport system. We introduce this general problem through a concrete example based on vehicle-sharing. Firstly, we outline the kind of complex transportation problem that is directly addressed by our technology (CO2y™ - pronounced “cosy”), and also show how this differs from other more basic software solutions. The CO2y™ architecture is then briefly introduced. We outline the practical advantages of the advanced, intelligent software technology that is designed to satisfy a number of individual preference criteria and thereby find appropriate matches within a population of vehicle-share users. An example scenario of use is put forward, i.e., minimisation of grey-fleets within a medium-sized company. Here we comment on some of the underlying assumptions of the scenario, and how in a detailed real-world situation such assumptions might differ between different companies, and individual users. Finally, we summarise the paper, and conclude by outlining how the problem of pooled transportation is likely to benefit from the further application of emergent, nature-inspired computing technologies. These technologies allow systems-level behaviour to be optimised with explicit representation of individual actors. With these techniques we hope to make real progress in facing the complexity challenges that transportation problems produce.