Special Issue:

The recent industry studies show that current transportation chains are far from fully exploitation of the potential stemming from existing transportation assets and infrastructure as well as new technologies in transportation systems. As a result a fast reorganization and better utilization of existing assets and infrastructure for breakthrough efficiency is needed. To achieve it a number of topics need to be addressed in an integrated way. This includes the harmonization of information systems, the establishment of interoperability on technical and regulative levels, the combination of different concepts from the research fields of mathematics, operations research, business administration, law, engineering and IT but also the adoption of best practices to become widely accepted. Interoperability between collaborative decision making systems in aviation, shipping and in other domains can support intermodal traffic planning as well as management. Current trends such synchromodal transport operations or autonomy /automation on land, in air and at sea create further opportunities for the optimization of traffic management.
In addition to this, the organization of intermodal transportation chains is increasingly being digitized and thus leads to generation of various types of big data coming from different sources and sensors. This in turn requires solutions for automatic collection and management of useful data, and the extraction and utilization of useful information from such huge and dynamic big data. This has recently motivated researchers and scientists to explore new methods and technologies for applications of big data technologies in transportation. Concepts like machine learning, deep learning, knowledge discovery and data mining can be named as relevant fields of research. Moreover, algorithms for prediction of the behavior of mobile entities including cargo trains, ships and trucks as well as their load across inter-organizational transportation chains provide additional support for transport and traffic management and are the basis for the establishment more reliable time forecasts, exception handling and even autonomous vehicles.
Apart from creating possibilities in the optimization of transport and better traffic management, digitalization fosters also new business models like Mobility as a Service. The challenge of these new service models is to focus on the integration of new systems into a higher-level System of Systems and service ecosystems. To this end, it is already necessary to consider the different perspectives of socio-technical systems during the development of new systems. In addition to technical and computational aspects, these include the consideration of day-to-day business operations, established processes, the human factor and cross-national laws. For this purpose, methodologies and approaches must be provided that take these aspects into account at the conception stage along the life cycle of an (information) system.

Objective

The objective of this Special Issue on “Information Systems in Intermodal Transportation and Traffic Management“ is to present the latest advances and developments of concepts, methods, techniques, systems and tools dedicated to the efficient management of transportation processes. We invite also case studies and real world applications to be presented and discussed in this issue.
Topics of interest include, but are not limited to the following areas:

• Intelligent applications and services in traffic management
• Sensor data processing and fusion for intelligent offline and online information systems
• Transition of transport systems (Mobility and Transportation as a Service)
• Support for highly automated systems
• Machine Learning for decision-making in (semi) autonomous vehicles
• Logistics networks and vehicle routing
• Planning and control of transportation and intermodal activities
• Data analytics, machine learning and AI in intermodal transportation and traffic management
• System of Systems in intermodal transportation and traffic management
• Modeling and simulation systems in transportation
• Formalization of traffic regulations
• Data-driven business models in intermodal transportation

Submission:

Authors are asked to submit their papers online via Springer’s submission system Editorial Manager (http://www.editorialmanager.com/buis/) indicating the special issue. All papers must follow the typing and formatting instructions for WIRTSCHAFTSINFORMATIK/Business & Information Systems Engineering (BISE) available at http://www.bise-journal.org. In particular, manuscripts should not exceed 60,000 characters (discounting 5,000 characters for each figure/table).
Submitted papers will undergo a double-blind review process and be refereed by at least three domain experts according to quality, originality, relevance, and scientific rigor.

Schedule:

Editors of the Special Focus:

Prof. Witold Abramowicz
Chair for Department of Information Systems
Poznan University of Economics and Business
Al. Niepodległości 10
61-875 Poznań, Poland

Prof. Axel Hahn
University of Oldenburg
Germany

Prof. Andre Ludwig
Computer Science in Logistics
Kühne Logistics University
Hamburg, Germany

Prof. Mikael Lind
RISE Viktoria
Göteborg, Sweden