Smart Parking: An Application of Optical Wireless Sensor Network

Chinrungrueng, Jatuporn; Sunantachaikul, Udomporn; Triamlumlerd, S.

doi:10.1109/saint-w.2007.98

Cited by 128 publications

(83 citation statements)

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“…Systems like [15] and SPARK [16] employ wireless sensors or VANET (Vehicular Ad-hoc Network) devices to collect and disseminate information about parking availability to help drivers find vacant parking spaces. CrowdPark [5] assumes a seller-buyer relationship between drivers, who are going to leave or parking at the lots, to deal with the parking reservation problem.…”

Section: Related Workmentioning

confidence: 99%

Smart Parking by Mobile Crowdsensing

Chen¹,

Liu²

2016

IJSH

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Section: Related Workmentioning

confidence: 99%

Smart Parking by Mobile Crowdsensing

Chen¹,

Liu²

2016

IJSH

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“…An application related to urban traffic routing in the previous section is that of guiding vehicles towards free parking spaces in a car park (17). For this it is assumed that individual parking spaces are monitored to see if there is a vehicle present or not.…”

Section: Miscellaneousmentioning

confidence: 99%

Relationship between Application Scale and Maximum Time Latency in Intelligent Transport Solutions

Knoop

Lint

Vries

et al. 2013

Transportation Research Record

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Congestion is a major problem in large urbanised areas. Intelligent Transport Solutions aim to reduce this problem. Generally, traffic is monitored using sensors, this data is processed, a traffic state is estimated and a control measure is computed and implemented. The availability and quality of the data and the processing time of the algorithms are possible limiting factors in this pattern. This paper investigates what the data requirements for different traffic control measures are. In particular, we focus on the relationship between the spatial scale of the control measure and the time delay between the measurement and the control action, the latency. A set of 17 applications shows that the larger the spatial scale of the control measure, the larger the latency can be. This relationship can be used to determine the latency quality criteria for a certain application. On the other hand, it can be analysed which type of applications are possible when data with a specific quality can be collected. The latter analysis is carried out for a province in the Netherlands. This analysis furthermore shows the difference between the availability in terms of information and communication technology (ICT) and useful data for applications. In particular, if no vehicles pass, the ICT systems are available, but no realistic measurements are produced.

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“…Another similar work in the area of parking system automation and management was an optical WSN (wireless sensor network) as a vehicle counting system in smart parking garages, proposed by Jatuporn et al [5]. The solution proposed by them was to use an optical sensor head additionally with the wireless sensor node.…”

Section: Related Workmentioning

confidence: 99%