New “Smart Parking” System Based on Resource Allocation and Reservations

By Yanfeng Geng, Christos G. Cassandras. IEEE transactions on intelligent transportation systems (Print), 2013

324 citations recorded by the source corpus.

Subfields: Building and Construction, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/2154ddb6d5971568ee3d5409f67d6df5202461d8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. T. Lin
2. H. Rivano
3. Frédéric Le Mouël
4. Martin Jägersand
5. Mennatullah Siam
6. D. Nguyen
7. Ming-Fong Tsai
8. Der-Jiunn Deng

Citations in the corpus

• A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies (2015, methodology): “We build the mathematical models of our proposed system based on the results in [1] and [2].”
• Parking-stall vacancy indicator system, based on deep convolutional neural networks (2016, background): “Some of the fields that this paradigm can be applied to are transportation, lighting, surveillance and city planning.”
• A Survey of Smart Parking Solutions (2017, background): “[169] Y. Geng and C. Cassandras, “New smart parking system based on resource allocation and reservations,” IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 3, pp. 1129–1139, 2013.”