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Traffic Monitoring and Reconstruction

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The Evolution of Travel Time Information Systems

Part of the book series: Springer Tracts on Transportation and Traffic ((STTT,volume 19))

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Abstract

In traffic engineering, as in so many other disciplines, any good analysis requires data. Regardless of whether the most powerful software is available, it will not produce good results if it does not receive the necessary inputs. It is generally accepted that the more data available, the better results can be achieved. Omitting data-driven techniques, this is true only if the data is adequate and, of course, more or less accurate. In this sense, the equipment that collects the data also plays a fundamental role, since it will determine what data can be collected and in what amount. This chapter provides a simple but very useful classification of the most commonly used sensors and explains the data they can collect. It also gives a brief and simplified introduction to the reconstruction of traffic conditions from these data using the most common techniques. Both aspects will be discussed in more detail throughout this book.

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Authors and Affiliations

  1. UPC-BarcelonaTech, Department of Civil and Environmental Engineering, Area of Transport and Territorial Infrastructures, Barcelona Innovative Transportation (BIT) Research Group, Polytechnic University of Catalonia, Barcelona, Spain

    Margarita Martínez-Díaz

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  1. Margarita Martínez-Díaz
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Correspondence to Margarita Martínez-Díaz .

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  1. Barcelona Innovative Transportation Research Group (BIT), Department of Civil and Environmental Engineering, Civil Engineering School, Polytechnic University of Catalonia, Barcelona, Spain

    Margarita Martínez-Díaz

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Martínez-Díaz, M. (2022). Traffic Monitoring and Reconstruction. In: Martínez-Díaz, M. (eds) The Evolution of Travel Time Information Systems. Springer Tracts on Transportation and Traffic, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-030-89672-0_1

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