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Emerging Freeway Traffic Control Strategies

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Freeway Traffic Modelling and Control

Part of the book series: Advances in Industrial Control ((AIC))

Abstract

Classical freeway traffic control approaches can be conveniently revisited in the light of the new technologies which have revolutionised data collection, data processing, communications and computing. In this chapter, the emerging freeway traffic control paradigms are illustrated, without claiming to be exhaustive, as the emerging control concepts are constantly evolving together with the new technologies on which they are based. The scenarios that unfold on the horizon are incredibly dense with potentialities and opportunities. Traffic data acquisition can be performed supplementing fixed sensors with probe vehicles. The overall traffic flow, even in case of mixed traffic consisting of conventional vehicles and intelligent vehicles, can be influenced by acting in a coordinated way at the level of the single intelligent vehicle. Large amounts of data can be collected, also exploiting unconventional data sources like social networks, making of paramount importance the development of traffic-oriented big data technologies, as well as efficient data mining techniques, in order to distinguish between useful and non-useful data and suitably process them. Privacy-preserving data sharing, cybersecurity, fault-tolerance and resilience concepts also play an important role in this new and challenging scenario.

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Authors and Affiliations

  1. Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy

    Antonella Ferrara

  2. Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy

    Simona Sacone & Silvia Siri

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  1. Antonella Ferrara
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  2. Simona Sacone
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  3. Silvia Siri
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Correspondence to Antonella Ferrara .

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Ferrara, A., Sacone, S., Siri, S. (2018). Emerging Freeway Traffic Control Strategies. In: Freeway Traffic Modelling and Control. Advances in Industrial Control. Springer, Cham. https://doi.org/10.1007/978-3-319-75961-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-75961-6_11

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