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Workshops of the International Conference on Advanced Information Networking and Applications

WAINA 2020: Web, Artificial Intelligence and Network Applications pp 1019–1027Cite as

Smart Destination-Based Parking for the Optimization of Waiting Time

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1150))

Abstract

Parking slot detection is becoming an important application field for vehicular ad hoc networks potentials. Indeed, it is commonly known that one of the main causes of cities traffic congestion is the free parking slot search, which also constitutes a huge waste of time for drivers. In this work, our aim is to propose a smart algorithm for parking slot detection, by relying on existing approaches for memory allocation in operating systems. The isomorphism between these two problems is pretty intuitive, since we can map a parking area to the central memory of a computer, and vehicles to be parked to processes to be executed. In this scenario, we customize the existent algorithms in order to introduce a parameter which, in our opinion, is essential in order to guarantee a fast vehicle allocation: the distance between the parking slot and the place the driver intends to reach. The experimental results show that this destination-based approach makes the allocation of a given queue of vehicles faster than the existing ones.

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Author information

Authors and Affiliations

  1. University of Trieste, Trieste, Italy

    Marco Balzano

  2. Naples University, Federico II, Naples, Italy

    Walter Balzano, Loredana Sorrentino & Silvia Stranieri

Authors
  1. Marco Balzano
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  2. Walter Balzano
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  3. Loredana Sorrentino
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  4. Silvia Stranieri
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Corresponding author

Correspondence to Walter Balzano .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania Luigi Vanvitelli, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Balzano, M., Balzano, W., Sorrentino, L., Stranieri, S. (2020). Smart Destination-Based Parking for the Optimization of Waiting Time. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_94

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