Efficient on-street parking sensor placement

Author:

Rottkamp Lukas1,Schubert Matthias1,Strauß Niklas1

Affiliation:

1. LMU Munich, Munich, Germany

Publisher

ACM

Reference16 articles.

1. On the Design of Smart Parking Networks in the Smart Cities: An Optimal Sensor Placement Model

2. A 2-Step Approach to Improve Data-driven Parking Availability Predictions

3. Improving Parking Availability Maps using Information from Nearby Roads

4. Brian M de Silva , Krithika Manohar , Emily Clark , Bingni W Brunton , Steven L Brunton , and J Nathan Kutz . 2021. PySensors: A Python package for sparse sensor placement. arXiv preprint arXiv:2102.13476 ( 2021 ). Brian M de Silva, Krithika Manohar, Emily Clark, Bingni W Brunton, Steven L Brunton, and J Nathan Kutz. 2021. PySensors: A Python package for sparse sensor placement. arXiv preprint arXiv:2102.13476 (2021).

5. Nathan Halko Per-Gunnar Martinsson and Joel A Tropp. 2009. Finding structure with randomness: Stochastic algorithms for constructing approximate matrix decompositions. (2009). Nathan Halko Per-Gunnar Martinsson and Joel A Tropp. 2009. Finding structure with randomness: Stochastic algorithms for constructing approximate matrix decompositions. (2009).

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