Design of high performance cluster based map for vehicle tracking of public transport vehicles in smart city

Thomas, George S; Gelbukh, Alexander; Sasi, P M

doi:10.1109/tenconspring.2017.8070027

Cited by 9 publications

(2 citation statements)

References 6 publications

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“…Due to its characteristics, Redis is generally used for quick response tracking systems, such as ship tracking [16] and public transportation vehicle tracking [85], in which real-time data need to be displayed or processed in a timely manner, while the snapshot memory data are not required to be stored immediately.…”

Section: Geoadd Building 1545244 -7678506 My-housementioning

confidence: 99%

State-of-the-Art Geospatial Information Processing in NoSQL Databases

Guo

Onstein

2020

IJGI

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Geospatial information has been indispensable for many application fields, including traffic planning, urban planning, and energy management. Geospatial data are mainly stored in relational databases that have been developed over several decades, and most geographic information applications are desktop applications. With the arrival of big data, geospatial information applications are also being modified into, e.g., mobile platforms and Geospatial Web Services, which require changeable data schemas, faster query response times, and more flexible scalability than traditional spatial relational databases currently have. To respond to these new requirements, NoSQL (Not only SQL) databases are now being adopted for geospatial data storage, management, and queries. This paper reviews state-of-the-art geospatial data processing in the 10 most popular NoSQL databases. We summarize the supported geometry objects, main geometry functions, spatial indexes, query languages, and data formats of these 10 NoSQL databases. Moreover, the pros and cons of these NoSQL databases are analyzed in terms of geospatial data processing. A literature review and analysis showed that current document databases may be more suitable for massive geospatial data processing than are other NoSQL databases due to their comprehensive support for geometry objects and data formats and their performance, geospatial functions, index methods, and academic development. However, depending on the application scenarios, graph databases, key-value, and wide column databases have their own advantages.

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Section: Geoadd Building 1545244 -7678506 My-housementioning

confidence: 99%

State-of-the-Art Geospatial Information Processing in NoSQL Databases

Guo

Onstein

2020

IJGI

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“…Some of the conveniences offered cannot be separated from the role of technology, especially ICT to the Internet of Things [25]. Various applications have been developed to support smart cities, such as the development of intelligent systems for optimization of energy allocations [26], [27] monitoring landfills capable of reducing urban waste management costs [28], electronic public service-based complaints services [29] lighting control with remote control systems [30], [31], intelligent control of city traffic lights [32], [33], [34], analysis and development of intelligent systems in the field of transportation [35], [36], [ 37], [38] as well as the development of a city bike rental sharing system that is able to minimize city noise [39].…”

Section: Smart City Current Implementationmentioning

confidence: 99%

A Literature Study: The Concept of Smart City between Municipal vs. Regency (Between Efficiency, Habitability, and Local Wisdom)

Munandar¹,

Harsiti²,

Malik³

et al. 2018

Proceedings of the the 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus

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The smart city concept is one of the important alternatives in the effort to solve various problems in the urban area. However, provincial administration in several countries including Indonesia is divided into two categories: municipality and regency. There are problems arising when smart city concept implemented in the regency because the municipality and the regency have the significant of different characteristics. The blueprint preparation of smart city concept should be prepared by taking into the local wisdom possesed by the region, especially for regency that is different from the municipality. Thus, the implementation of the concept is adapted to the characteristics and needs of the region. The result shows that smart cities can be carried out as efficiently as possible in terms of technology implementation. Besides that the smart city that is built must prioritize the concept of livable for its inhabitants without ignoring the local wisdom they have.

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