Tourist volume prediction using data mining techniques and change point detection for Sri Lanka

Basnayake, B.R.P.M.; Chandrasekara, N. V.

doi:10.1504/ijds.2021.121093

Cited by 1 publication

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“…Infrared equipment: infrared equipment is deployed at both ends of all access channels in the scenic spot. In the form of reflection and refraction, when tourists pass through, the infrared connection will be blocked to realize the counting of tourists [9] . Advantages: the input cost of infrared equipment is low and easy to deploy and install.…”

Section: Tourist Statistics Technologymentioning

confidence: 99%

Research on tourist volume monitoring system of smart scenic spot

Ning¹,

Chen²

2023

International Conference on Internet of Things and Machine Learning (IoTML 2022)

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The scenic spot has a certain tourist carrying capacity, controlling the number of tourists in the scenic spot can not only protect the scenic spot landscape, but also can improve the comfort of tourists. With the development of modern information technology, the demand for building smart scenic spots is becoming stronger and stronger. Tourist volume monitoring is an important aspect of smart scenic spot construction[1]. The system adopts intelligent camera as the tourist volume collection equipment, which is installed at the entrance and exit of the scenic spot to make real-time statistics of the incoming and outgoing data[2]. Our innovations include the followings. First, we have designed a general system architecture based on intelligent tourist volume camera for tourist volume collection, which is applicable to the statistics of tourist volume of scenic spots at multiple entrances and exits, and supports monthly reports, daily reports and hourly reports. Second, we have proposed a three-level threshold tourist volume early warning mode, which is based on 80%, 90% and 100% of the tourist carrying capacity of the scenic spot, and set three-level threshold, two-level threshold and primary threshold respectively. This is an application of IoT in intelligent scenic spots.

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Section: Tourist Statistics Technologymentioning

confidence: 99%