%0 Book Section %B Knowledge and Networks in a Dynamic Economy %D 1998 %T Roadway Incident Analysis with a Dynamic User-Optimal Route Choice Model %A Boyce, D. E. %A Lee, D.-H. %A Janson, B.N. %E Beckmann, Martin J. %E Johannsson, Börje %E Snickars, Folke %E Thord, Roland %X

The transportation system conveys interdependencies. When analysing the costs and benefits of transport investment projects, it is therefore necessary to address the question of linkages among projects. Such linkages can occur in terms of economies of scale in arising from the combination of projects during the construction phase. Intelligent Transportation Systems (ITS), also known as Intelligent Vehicle Highway Systems (IVHS), are applying advanced technologies (such as navigation, automobile, computer science, telecommunication, electronic engineering, automatic information collection and processing) in an effort to bring revolutionary improvements in traffic safety, network capacity utilization, vehicle emission reductions, travel time and fuel consumption savings, etc. Within the framework of ITS, Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS) both aim to manage and predict traffic congestion and provide historical and real time network-wide traffic information to support drivers’ route choice decisions. To enable ATMS/ATIS to achieve the above described goals, traffic flow prediction models are needed for system operation and evaluation. Linkages may also arise in supply through interaction among network components, or among the producers of transportation services. Linkages may also emerge in demand through the creation of new opportunities for interaction.

%B Knowledge and Networks in a Dynamic Economy %I Springer Berlin Heidelberg %P 371-390 %@ 978-3-642-64350-7 %G eng %U http://dx.doi.org/10.1007/978-3-642-60318-1_21 %R 10.1007/978-3-642-60318-1_21