Abstract
COVID-19 has greatly affected the tourist industry and ways of travel. According to the UNTWO predictions, the number of international tourist arrivals will be slowly growing by the end of 2021. One of the ways to keep tourists safe during travel is to use a personal car or car-sharing service. The sensor-based information collected from the tourist’s smartphone during the trip allows his/her behaviour analysis. For this purpose, we propose to use the Internet of Things with ambient intelligence technologies, which allows information processing using the surrounding devices. The paper describes a solution to the car tourist trajectory prediction, which has been the demanding subject of different research studies in recent years. We present an approach based on the usage of the bidirectional LSTM neural network model. We show the reference model of the tourist support system for car-based attraction-visiting trips. The sensor data acquisition process and the bidirectional LSTM model construction, training and evaluation are demonstrated. We propose a system architecture that uses the tourist’s smartphone for data acquisition as well as more powerful surrounding devices for information processing. The obtained results can be used for tourist trip behaviour analysis.
Highlights
The Coronavirus Disease 2019 (COVID-19) outbreak and the quarantine measures around the world have greatly affected the whole tourism industry
In this paper we presented an approach to tourist trajectory prediction based on long short-term memory (LSTM) neural networks
We showed the reference model of the approach as well as the neural network architecture
Summary
The Coronavirus Disease 2019 (COVID-19) outbreak and the quarantine measures around the world have greatly affected the whole tourism industry. According to the United Nations World Tourism Organization (UNWTO) reports (https://www.unwto.org/covid19-and-tourism-2020 (accessed on 6 June 2021)), international tourist arrivals decreased from 1.5 billion in 2019 to 381 million in 2020. About 27% of all destinations worldwide have kept their borders completely closed for international tourism. Internal tourism has begun to increase due to the growing numbers of vaccinated people in countries and still closed borders. According to Airbnb statistics (https:// news.airbnb.com/2021-travel/ (accessed on 6 June 2021)), more and more travellers are preferring a domestic or local destination as a goal of the tourist route. By applying protective measures such as using masks in case of travelling with unfamiliar people, maintaining physical distance, sanitizing surfaces and periodically ventilating the cabin, it would be possible to reduce the risk of COVID-19 infestation when travelling by car
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