An intelligent parking assistant

Nishok Narasimha-Mohanasamy, John Jenq

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)

Abstract

In big cities, parking is a very challenging problem to most people especially for visitors who are new to these cities. Most people today will not get lost in a big city due to the widely use of smart devices But to find a nearby parking spot which is close to the place you want to visit can be a hard task. Not just smart devices like smart phone become popular, we can expect the autonomous vehicles will become popular a norm in the very near future, an internet based parking system is now on demand. There are parking assistance available now on internet. Most of these systems ask user to enter information such as where you are heading to, when you plan to arrive, how to charge you and then make reservation for you, etc. The challenge is how we build an intelligent system which is compact, fast responsive, and smart enough to help user to find and route user (or auto-driven car) to a nearby parking place whether it is a garage, surface lot or on the street. In this report, we propose an intelligent parking assistance system as a component of the future smart cities. We use MEAN stack to implement a prototype parking system. MEAN is JavaScript based technology which stands for MongoDB, Express], AngularJS, and NodeJS. We develop such a parking assist application purely using web based technologies such as HTML, CSS, JavaScript and its open sourced frameworks such as node.js, bootstrap, jQuery, jQuery UI etc. Since that real time aerial image are not available so we use simulation to find parking information on open surface lots and street parking.

Original languageEnglish
Title of host publicationWMSCI 2016 - 20th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
EditorsNagib C. Callaos, Belkis Sanchez, Natalja Lace, Michael Savoie, Andres Tremante
PublisherInternational Institute of Informatics and Systemics, IIIS
Pages174-177
Number of pages4
Volume1
ISBN (Electronic)9781941763476
StatePublished - 1 Jan 2016
Event20th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2016 - Orlando, United States
Duration: 5 Jul 20168 Jul 2016

Other

Other20th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2016
CountryUnited States
CityOrlando
Period5/07/168/07/16

Fingerprint

Parking
Internet
HTML
Intelligent systems
World Wide Web
Railroad cars
Antennas

Cite this

Narasimha-Mohanasamy, N., & Jenq, J. (2016). An intelligent parking assistant. In N. C. Callaos, B. Sanchez, N. Lace, M. Savoie, & A. Tremante (Eds.), WMSCI 2016 - 20th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings (Vol. 1, pp. 174-177). International Institute of Informatics and Systemics, IIIS.
Narasimha-Mohanasamy, Nishok ; Jenq, John. / An intelligent parking assistant. WMSCI 2016 - 20th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. editor / Nagib C. Callaos ; Belkis Sanchez ; Natalja Lace ; Michael Savoie ; Andres Tremante. Vol. 1 International Institute of Informatics and Systemics, IIIS, 2016. pp. 174-177
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title = "An intelligent parking assistant",
abstract = "In big cities, parking is a very challenging problem to most people especially for visitors who are new to these cities. Most people today will not get lost in a big city due to the widely use of smart devices But to find a nearby parking spot which is close to the place you want to visit can be a hard task. Not just smart devices like smart phone become popular, we can expect the autonomous vehicles will become popular a norm in the very near future, an internet based parking system is now on demand. There are parking assistance available now on internet. Most of these systems ask user to enter information such as where you are heading to, when you plan to arrive, how to charge you and then make reservation for you, etc. The challenge is how we build an intelligent system which is compact, fast responsive, and smart enough to help user to find and route user (or auto-driven car) to a nearby parking place whether it is a garage, surface lot or on the street. In this report, we propose an intelligent parking assistance system as a component of the future smart cities. We use MEAN stack to implement a prototype parking system. MEAN is JavaScript based technology which stands for MongoDB, Express], AngularJS, and NodeJS. We develop such a parking assist application purely using web based technologies such as HTML, CSS, JavaScript and its open sourced frameworks such as node.js, bootstrap, jQuery, jQuery UI etc. Since that real time aerial image are not available so we use simulation to find parking information on open surface lots and street parking.",
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Narasimha-Mohanasamy, N & Jenq, J 2016, An intelligent parking assistant. in NC Callaos, B Sanchez, N Lace, M Savoie & A Tremante (eds), WMSCI 2016 - 20th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. vol. 1, International Institute of Informatics and Systemics, IIIS, pp. 174-177, 20th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2016, Orlando, United States, 5/07/16.

An intelligent parking assistant. / Narasimha-Mohanasamy, Nishok; Jenq, John.

WMSCI 2016 - 20th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. ed. / Nagib C. Callaos; Belkis Sanchez; Natalja Lace; Michael Savoie; Andres Tremante. Vol. 1 International Institute of Informatics and Systemics, IIIS, 2016. p. 174-177.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

TY - GEN

T1 - An intelligent parking assistant

AU - Narasimha-Mohanasamy, Nishok

AU - Jenq, John

PY - 2016/1/1

Y1 - 2016/1/1

N2 - In big cities, parking is a very challenging problem to most people especially for visitors who are new to these cities. Most people today will not get lost in a big city due to the widely use of smart devices But to find a nearby parking spot which is close to the place you want to visit can be a hard task. Not just smart devices like smart phone become popular, we can expect the autonomous vehicles will become popular a norm in the very near future, an internet based parking system is now on demand. There are parking assistance available now on internet. Most of these systems ask user to enter information such as where you are heading to, when you plan to arrive, how to charge you and then make reservation for you, etc. The challenge is how we build an intelligent system which is compact, fast responsive, and smart enough to help user to find and route user (or auto-driven car) to a nearby parking place whether it is a garage, surface lot or on the street. In this report, we propose an intelligent parking assistance system as a component of the future smart cities. We use MEAN stack to implement a prototype parking system. MEAN is JavaScript based technology which stands for MongoDB, Express], AngularJS, and NodeJS. We develop such a parking assist application purely using web based technologies such as HTML, CSS, JavaScript and its open sourced frameworks such as node.js, bootstrap, jQuery, jQuery UI etc. Since that real time aerial image are not available so we use simulation to find parking information on open surface lots and street parking.

AB - In big cities, parking is a very challenging problem to most people especially for visitors who are new to these cities. Most people today will not get lost in a big city due to the widely use of smart devices But to find a nearby parking spot which is close to the place you want to visit can be a hard task. Not just smart devices like smart phone become popular, we can expect the autonomous vehicles will become popular a norm in the very near future, an internet based parking system is now on demand. There are parking assistance available now on internet. Most of these systems ask user to enter information such as where you are heading to, when you plan to arrive, how to charge you and then make reservation for you, etc. The challenge is how we build an intelligent system which is compact, fast responsive, and smart enough to help user to find and route user (or auto-driven car) to a nearby parking place whether it is a garage, surface lot or on the street. In this report, we propose an intelligent parking assistance system as a component of the future smart cities. We use MEAN stack to implement a prototype parking system. MEAN is JavaScript based technology which stands for MongoDB, Express], AngularJS, and NodeJS. We develop such a parking assist application purely using web based technologies such as HTML, CSS, JavaScript and its open sourced frameworks such as node.js, bootstrap, jQuery, jQuery UI etc. Since that real time aerial image are not available so we use simulation to find parking information on open surface lots and street parking.

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M3 - Conference contribution

VL - 1

SP - 174

EP - 177

BT - WMSCI 2016 - 20th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings

A2 - Callaos, Nagib C.

A2 - Sanchez, Belkis

A2 - Lace, Natalja

A2 - Savoie, Michael

A2 - Tremante, Andres

PB - International Institute of Informatics and Systemics, IIIS

ER -

Narasimha-Mohanasamy N, Jenq J. An intelligent parking assistant. In Callaos NC, Sanchez B, Lace N, Savoie M, Tremante A, editors, WMSCI 2016 - 20th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. Vol. 1. International Institute of Informatics and Systemics, IIIS. 2016. p. 174-177