Toward Mobile AR-based Interactive Smart Parking System

Al-Jabi, Muhannad; Sammaneh, Haya

doi:10.1109/hpcc/smartcity/dss.2018.00209

Cited by 14 publications

(7 citation statements)

References 20 publications

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“…Consequently, managing the transportation system for tourists and residents will be a significant infrastructural challenge in metropolitan areas, and parking will be provided to address this issue. Therefore, in addition to wasting time and energy, locating a parking space for tourists can decrease fuel consumption, car oil usage, and environmental pollution [35]. Hence, the rapid access of tourist attractions to parking lots will increase tourism potential.…”

Section: Methodsmentioning

confidence: 99%

A GIS-Based Assessment of Urban Tourism Potential with a Branding Approach Utilizing Hybrid Modeling

2022

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Urban tourism has developed into one of the most efficient and effective economic and recreational activities in the modern era since the late second half of the twentieth century. Although attention to urban tourism development is increasing, this paper indicates that no comprehensive study has yet combined the two subjects of tourism development and branding for spatial modeling. Thus, for assessing urban tourism potential (AUTP), a novel hybrid modeling approach combining K-mean, fuzzy logic, and an artificial neural network (ANN) was used. The findings indicate that in Tabriz metropolis, areas 3 and 7 and the southwestern portion of region 6 have the most significant potential for urban tourism. In contrast, areas 4, 8, and 10 located within the worn-out urban fabric have the least potential for tourism. Subsequently, by examining the correlation between urban tourism conditioning factors (UTCFs) and tourism maps, it was determined that factors including distance from the catering centers, distance from the fault, quality of construction materials, distance from the historical centers, distance from the health centers, maximum temperature, and distance from the parking are the most critical in terms of increasing urban tourism's potential and branding. The analyses conducted in this study provide valuable and practical information for developing future strategies urban tourism. To this end, recommendations have been made to enhance tourism destination service delivery and management through branding.

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Section: Methodsmentioning

confidence: 99%

A GIS-Based Assessment of Urban Tourism Potential with a Branding Approach Utilizing Hybrid Modeling

2022

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“…For a massive centric IoT-cloud platform, fog computing is an effective solution to address the limitations of computational latency and throughput, and blockchain is a proven solution to combat the notable security challenges, such as, but not limited to, authentication and data integrity [8,24]. In this study, we examined, in depth, the main limitations (i.e., computational latency, efficiency, privacy, and security) of the existing IoTcloud-based developments for SP systems [11][12][13][14][15][16][17], and then proposed an SAVP system that deploys fog nodes as an extension to the centric cloud-computing platform that functions with blockchain capabilities to circulate and manage a massive amount of vehicular parking data in an IoT network to achieve better overall system latency, throughput, privacy, and security. The SAVP system's design was limited or mainly targeted to accommodate AVs that have real identities (e.g., via RFID active tags) and that are looking for parking solutions.…”

Section: System Architecturementioning

confidence: 99%

Enabling Fog–Blockchain Computing for Autonomous-Vehicle-Parking System: A Solution to Reinforce IoT–Cloud Platform for Future Smart Parking

Shahzad

Gherbi

Zhang

2022

Sensors

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With the advent of modern technologies, including the IoT and blockchain, smart-parking (SP) systems are becoming smarter and smarter. Similar to other automated systems, and particularly those that require automation or minimal interaction with humans, the SP system is heuristic in delivering performances, such as throughput in terms of latency, efficiency, privacy, and security, and it is considered a long-term cost-effective solution. This study looks ahead to future trends and developments in SP systems and presents an inclusive, long-term, effective, and well-performing smart autonomous vehicle parking (SAVP) system that explores and employs the emerging fog-computing and blockchain technologies as robust solutions to strengthen the existing collaborative IoT–cloud platform to build and manage SP systems for autonomous vehicles (AVs). In other words, the proposed SAVP system offers a smart-parking solution, both indoors and outdoors, and mainly for AVs looking for vacant parking, wherein the fog nodes act as a middleware layer that provides various parking operations closer to IoT-enabled edge devices. To address the challenges of privacy and security, a lightweight integrated blockchain and cryptography (LIBC) module is deployed, which is functional at each fog node, to authorize and grant access to the AVs in every phase of parking (e.g., from the parking entrance to the parking slot to the parking exit). A proof-of-concept implementation was conducted, wherein the overall computed results, such as the average response time, efficiency, privacy, and security, were examined as highly efficient to enable a proven SAVP system. This study also examined an innovative pace, with careful considerations to combatting the existing SP-system challenges and, therefore, to building and managing future scalable SP systems.

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“…Of the reviewed studies, those that implemented the navigation feature were restricted to indoor environments; thus, the development of MI systems for navigation in outdoor contexts with the use of AR and IoT remains an open challenge. Exploring the effects of AR, IoT, and multimodality on the QoE of outdoor navigation may be an important aspect because outdoor navigation is not a novel research topic [62].…”

Section: Rq 3 How Are Iot and Ar Used In MI Systems?mentioning

confidence: 99%

Multimodal Interaction Systems Based on Internet of Things and Augmented Reality: A Systematic Literature Review

2021

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Technology developments have expanded the diversity of interaction modalities that can be used by an agent (either a human or machine) to interact with a computer system. This expansion has created the need for more natural and user-friendly interfaces in order to achieve effective user experience and usability. More than one modality can be provided to an agent for interaction with a system to accomplish this goal, which is referred to as a multimodal interaction (MI) system. The Internet of Things (IoT) and augmented reality (AR) are popular technologies that allow interaction systems to combine the real-world context of the agent and immersive AR content. However, although MI systems have been extensively studied, there are only several studies that reviewed MI systems that used IoT and AR. Therefore, this paper presents an in-depth review of studies that proposed various MI systems utilizing IoT and AR. A total of 23 studies were identified and analyzed through a rigorous systematic literature review protocol. The results of our analysis of MI system architectures, the relationship between system components, input/output interaction modalities, and open research challenges are presented and discussed to summarize the findings and identify future research and development avenues for researchers and MI developers.

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Toward Mobile AR-based Interactive Smart Parking System

Cited by 14 publications

References 20 publications

A GIS-Based Assessment of Urban Tourism Potential with a Branding Approach Utilizing Hybrid Modeling

A GIS-Based Assessment of Urban Tourism Potential with a Branding Approach Utilizing Hybrid Modeling

Enabling Fog–Blockchain Computing for Autonomous-Vehicle-Parking System: A Solution to Reinforce IoT–Cloud Platform for Future Smart Parking

Multimodal Interaction Systems Based on Internet of Things and Augmented Reality: A Systematic Literature Review

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