Abstract
When a disaster such as pandemic Covid-19, flood and landslide struct, essential services and aid must reach the disaster area promptly. A mechanism that enables smooth coordination for people and vehicles especially for movement during a disaster is vital. This paper aims to present the conceptual model for personalised smart mobility for smart movement during a disaster such as Covid-19 that includes smart vehicle mobility profile and smart people mobility profile. The model was formulated by applying the smart city concept in urban Malaysia and focusing on smartphones and various IoT sensors as the enabler technologies and foundation of data gathering to be utilized for decision making in multiple circumstances. In the process, we reviewed recent advances based on Smart City and disaster management policy for Malaysia and outline relevant directions for future research of smart movement control and decision-making during a disaster including pandemic outbreaks such as Covid-19 for the Malaysia case. The focus is on a fundamental topic in the application of telematics to assist the authority and community for citizens and vehicles mobility when disaster strike.
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This work was supported under the National Defence University of Malaysia Short Grants UPNM/2020/GPJP/ICT/3.
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Mat Razali, N.A. et al. (2021). Personalised Smart Mobility Model for Smart Movement During Pandemic Covid-19. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science(), vol 13051. Springer, Cham. https://doi.org/10.1007/978-3-030-90235-3_26
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