Smart transportation

Mrityunjaya, D H; Kumar, Naveen; Laxmikant,; Ali, Sameer; Kelagadi, Hemant

doi:10.1109/i-smac.2017.8058235

Cited by 15 publications

(4 citation statements)

References 6 publications

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“…Although (Laufs et al, 2020;Lv et al, 2021), information security, smart resident (Cardullo & Kitchin, 2019;Hatuka & Zur, 2019), smart infrastructure (Ota et al, 2017), smart building (Apanaviciene et al, 2020, Buckman et al, 2014, smart governance (Pereira et al, 2018), smart economy (Vinod Kumar & Dahiya, 2017), natural disasters and emergency management, smart spatial management (Panagiotopoulou & Stratigea, 2017), governance, smart health (Solanas et al, 2014), strategy management, GIS, policy management, information technologies, integrated service management (J. Lee et al, 2011), smart transportation (Mrityunjaya et al, 2017), business management, smart energy (Lund et al, 2017) CSR Connectivity, sustainability, resiliency RSM Smart economy, smart living, smart mobility, smart governance, smart environment, sustainability (Di Fabio et al, 2018), smart people (Klepka, 2019), smart civil society enough indicators provide an accurate assessment, a more complicated model can be challenging for users. Also, every city is unique and has to be treated with distinction.…”

Section: Discussionmentioning

confidence: 99%

“…DATA AVAILABILITY STATEMENT Data sharing is not applicable to this article as no new data were created or analyzed in this study. (Vespermann & Wald, 2011) Public transport performance SMM Smart mobility (Papa & Lauwers, 2015) Smart living (Lewis, 2008) SCMAM Smart transportation (Mrityunjaya et al, 2017) Smart energy (Lund et al, 2017) Smart infrastructure (Ota et al, 2017) Smart resident (Hatuka & Zur, 2019) Smart building (Apanaviciene et al, 2020) Technology and data IDC Technology Data SO-SCMM ICT and systems intelligence (Hämäläinen & Saarinen, 2007) SCR…”

Section: Funding Informationmentioning

confidence: 99%

See 1 more Smart Citation

Smart city maturity models: A multidimensional synthesized approach

Ghazinoory,

Roshandel,

Parvin

et al. 2023

WIREs Data Min & Knowl

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Smart cities are one of the consequences of digital transformation, and there have been many attempts to assess the smartness of cities with various frameworks. Among these frameworks, smart city maturity models (SCMMs) evaluate the existing conditions of cities and provide guidelines for progressing through the subsequent stages of maturity. However, most maturity models follow the instructions of the first model, published by the International Data Corporation, and there are many similarities across the models. These maturity models have advantages and disadvantages, while previous studies have not addressed the differences. Therefore, this article fills this knowledge gap by systematically reviewing the existing SCMMs. The findings suggest that some trending topics, such as resiliency concerning global pandemics and cultural aspects are neglected in SCMMs. Moreover, the validation techniques of the models are not rational. Finally, given the theoretical nature of most models, they cannot be applied to multiple regions.This article is categorized under: Fundamental Concepts of Data and Knowledge > Big Data Mining Technologies > Artificial Intelligence Technologies > Machine Learning

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Section: Discussionmentioning

confidence: 99%

Section: Funding Informationmentioning

confidence: 99%

Smart city maturity models: A multidimensional synthesized approach

Ghazinoory,

Roshandel,

Parvin

et al. 2023

WIREs Data Min & Knowl

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“…The most important sources that helped to define its smart and safe layer were references 10 to 15 [10][11][12][13][14][15].…”

Section: Smart Transport Systemmentioning

confidence: 99%

On Smart City and Safe City Concepts

2020

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With current environmental and social challenges in mind, we can say, that Smart Cities are becoming the need of modern society. Many cities in the world are already transforming their ways to be more efficient, greener and also safer. According to our studies, field of safety receives less focus in development strategies than other fields of smart development. However, to create a real Smart City, it is needed to understand the city as a complex environment, with their smart and safe concepts as interconnected parts. This paper deals with interconnected Smart City and Safe City concepts and it presents systems, that are common to both, equal concepts. Systems are divided into layers and features, needed in every system, are further summarized. Number of studied and compared works, dealing with respective systems from various points of view, our own experiences and communication with executives, responsible for smart development of Tampere city resulted in definitions, describing both concepts and each of the system layers, that are presented. The big picture was visualised by a structure for concepts and their systems, where the reader can see their relationships. Overview, of how smartness can improve safety is presented within description of specific system Smart Safety and Smart Healthcare.

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“…Indeed, the majority of applications and research today are connected in some way to the smart city [9,10]. The smart city encompasses a variety of study areas, including smart transportation [11], smart buildings [12], and smart health [13]. On the other hand, the systems utilized in the development of intelligent transportation are referred to as intelligent transportation systems (ITSs) [14].…”

Section: Introductionmentioning

confidence: 99%

Improving Cyclists’ Safety Using Intelligent Situational Awareness System

2023

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According to the World Health Organization (WHO), over 1.35 million people died in road traffic-related accidents worldwide in 2020 of which 41,000 are related to the cyclists. Bike safety is one of the most serious issues facing urban riders. According to Statistics Canada, this number represents 1654 cyclist deaths in Canada, an average of 74 deaths each year from 2006 to 2017. Cyclists are a critical component in traffic collisions, where they face a greater risk of serious injury or death. As a result, they are classified as vulnerable road users. To avoid this, the need for intelligent transportation systems (ITSs) that increase susceptible cyclists’ awareness of their surroundings is becoming apparent. As a result, we proposed a situational awareness system as part of ITS to enhance bike safety through the employment of three layers of applications: (1) the users tier (mobile application), (2) the virtual private server (VPS) and processing system, and (3) the database management system (DMS). These decision support systems (DSSs) improve vulnerable road users’ situational awareness by identifying high-risk regions for cyclists or motorcyclists using static and dynamic data and then notifying vulnerable road users. The suggested situational awareness system collects and integrates incoming data, prioritizes criteria, and notifies users based on a static hot-spot map produced from accident locations and dynamic data, such as traffic flow, weather conditions, and the user’s speed. The developed work made use of both single threading (for requests from less than 1000 users) and multi-threading (for requests from more than 1000 users), resulting in a highly scalable system based on an open source platform for higher numbers of requests.

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Smart transportation

Cited by 15 publications

References 6 publications

Smart city maturity models: A multidimensional synthesized approach

Smart city maturity models: A multidimensional synthesized approach

On Smart City and Safe City Concepts

Improving Cyclists’ Safety Using Intelligent Situational Awareness System

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