Abstract
The management of urban traffic systems demands information for the real-time control of traffic flows as well as for strategic traffic management. In this context, state-of-the-art traffic information systems are mainly used to control varying traffic flows and to provide collective and individual information about the current traffic situation. However, the provision of information for strategic traffic management as well as for traffic demand dependent planning activities (e.g., in city logistics) is still a potential field of research due to the former lack of reliable city-wide traffic information. Recently, historical traffic data arising from telematics-based data sources provided information for time-dependent route planning, for the improvement of traffic flow models as well as for spatial and time-dependent forecasts. In this chapter, we focus on the analysis of historical traffic data, which serves as a background for sophisticated real-time applications.
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Acknowledgments
A Floating Car Data base as well as managerial insights into the Floating Car Data collection approach was provided by the German Aerospace Center, Institute of Transport Research, Berlin. This support is gratefully acknowledged.
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Ehmke, J.F., Meisel, S., Mattfeld, D.C. (2010). Floating Car Data Based Analysis of Urban Travel Times for the Provision of Traffic Quality. In: Barceló, J., Kuwahara, M. (eds) Traffic Data Collection and its Standardization. International Series in Operations Research & Management Science, vol 144. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6070-2_9
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DOI: https://doi.org/10.1007/978-1-4419-6070-2_9
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