scholarly journals Adaptive Smart Traffic Accidents Management System

2021 ◽  
Vol 15 (14) ◽  
pp. 72
Author(s):  
Faisal Yousef Alzyoud ◽  
Abdallah Altahan Alnuaimi ◽  
Faiz Al Shrouf
Keyword(s):  
Traffic Congestion ◽  
Traffic Accidents ◽  
Smart Cities ◽  
New Technology ◽  
Software Tool ◽  
Communication Technologies ◽  
Smart Devices ◽  
Battery Life ◽  
Customer Services ◽  
Smart Traffic

<p>The proliferation of smart devices, IoT applications and wireless communication technologies contribute in countries development, society’s security, cost reduction, and customer services satisfactions; since they are used in different aspects of our life. Traffic congestion and accidents are increased recently and reached critical limits, so these contribute in initiating sever problems for researchers, governments and industry over the last few decades. Traffic accidents have many defects relating to increase number of death, infrastructure distribution, and health injuries; therefore, there is a crucial need to develop and modify an approach that utilizes the new technology to limit and prevent the traffic accidents.  Wireless sensors networks are developed to support smart solutions in smart cities like smart traffic, smart grid and others. In this research we developed a comprehensive approach to achieve the following three important goals in smart accident elimination. The first goal is to minimize the number of exchange information packets between sensors to save the battery life through developing and adapting clustering schema to minimize the number of exchanges information packets. The second goal is to calculate and determine the optimum route from accident location to the nearest rescue location by developing a dynamic routing schema   that is calculated by the control station depending on a cost heuristics function. The third goal is to predicate the accident causes and minimize the probability of accidents occur using a warning message schema and drawing some obstacles on some routing paths. Cupcarbon simulator and MATLAB software tool are developed to simulate different scenarios in order to proof the research goals.</p>

scholarly journals Cognitive solution for IoT communication technologies – emphasis on 5G

2020 ◽  
Vol 71 (2) ◽  
pp. 131-137
Author(s):  
Anisur Rahman Asif ◽  
Fatema Zahra ◽  
Mohammad Abdul Matin
Keyword(s):  
Internet Of Things ◽  
Traffic Congestion ◽  
Communication Technologies ◽  
Vital Role ◽  
Smart Devices ◽  
Network Technology ◽  
Intelligent Network ◽  
5G Networks ◽  
Cognitive Feature ◽  
Share Information

AbstractThe 5G cellular network technology, in collaboration with Internet of Things (IoT), is envisaged to connect the world together through a flawless Internet connection between devices and sensors. The things in IoT term can be of any smart devices or Internet-enabled sensors that can share information in order to perform a task collectively or individually. On the other hand, Cognitive Internet of Things plays a vital role in utilizing available spectrum for 5G networks. Addition of cognitive feature to the things can allow decision making capability, thereby reducing the overall traffic congestion and improving the efficiency of the whole IoT system. Therefore, it is of great concern to develop an intelligent network to address a few challenges such as heterogeneity and volume of devices in 5G. The aim of this article is to provide a critical review of existing IoT communication Technologies and highlight several challenges and their potential solutions associated with Cognitive IoT based 5G networks.

scholarly journals Arrowhead Technology for Digitalization and Automation Solution: Smart Cities and Smart Agriculture

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1464 ◽  
Author(s):  
Ioana Marcu ◽  
George Suciu ◽  
Cristina Bălăceanu ◽  
Alexandru Vulpe ◽  
Ana-Maria Drăgulinescu
Keyword(s):  
Precision Agriculture ◽  
Information Quality ◽  
Smart Cities ◽  
Communication Technologies ◽  
Smart Devices ◽  
Smart Building ◽  
Framework Technology ◽  
Service Oriented ◽  
Smart Agriculture ◽  
Iot Devices

The Internet of Things (IoT) concept has met requirements for security and reliability in domains like automotive industry, food industry, as well as precision agriculture. Furthermore, System of Systems (SoS) expands the use of local clouds for the evolution of integration and communication technologies. SoS devices need to ensure Quality of Service (QoS) capabilities including service-oriented management and different QoS characteristics monitoring. Smart applications depend on information quality since they are driven by processes which require communication robustness and enough bandwidth. Interconnectivity and interoperability facilities among different smart devices can be achieved using Arrowhead Framework technology via its core systems and services. Arrowhead Framework is targeting smart IoT devices with wide applicability areas including smart building, smart energy, smart cities, smart agriculture, etc. The advantages of Arrowhead Framework can be underlined by parameters such as transmission speed, latency, security, etc. This paper presents a survey of Arrowhead Framework in IoT/SoS dedicated architectures for smart cities and smart agriculture developed around smart cities, aiming to outline its significant impact on the global performances. The advantages of Arrowhead Framework technology are emphasized by analysis of several smart cities use-cases and a novel architecture for a telemetry system that will enable the use of Arrowhead technology in smart agriculture area is introduced and detailed by authors.

scholarly journals Traffic Congestion Analysis Based on a Web-GIS and Data Mining of Traffic Events from Twitter

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2964
Author(s):  
Juan Salazar-Carrillo ◽  
Miguel Torres-Ruiz ◽  
Clodoveu A. Davis ◽  
Rolando Quintero ◽  
Marco Moreno-Ibarra ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Smart Cities ◽  
Communication Technologies ◽  
Spatiotemporal Analysis ◽  
Good Alternative ◽  
Web Gis ◽  
Training Dataset ◽  
Support Vector ◽  
Machine Method ◽  
Spatiotemporal Information

Smart cities are characterized by the use of massive information and digital communication technologies as well as sensor networks where the Internet and smart data are the core. This paper proposes a methodology to geocode traffic-related events that are collected from Twitter and how to use geocoded information to gather a training dataset, apply a Support Vector Machine method, and build a prediction model. This model produces spatiotemporal information regarding traffic congestions with a spatiotemporal analysis. Furthermore, a spatial distribution represented by heat maps is proposed to describe the traffic behavior of specific and sensed areas of Mexico City in a Web-GIS application. This work demonstrates that social media are a good alternative that can be leveraged to gather collaboratively Volunteered Geographic Information for sensing the dynamic of a city in which citizens act as sensors.

scholarly journals Edge-enabled Mobile Crowdsensing to Support Effective Rewarding for Data Collection in Pandemic Events

2021 ◽  
Vol 19 (3) ◽  
Author(s):  
Luca Foschini ◽  
Giuseppe Martuscelli ◽  
Rebecca Montanari ◽  
Michele Solimando
Keyword(s):  
Information And Communication Technologies ◽  
Smart Cities ◽  
Communication Technologies ◽  
Smart Devices ◽  
Mobile Crowdsensing ◽  
Share Data ◽  
Information And Communication ◽  
Emergency Scenarios ◽  
The City

AbstractSmart cities use Information and Communication Technologies (ICT) to enrich existing public services and to improve citizens’ quality of life. In this scenario, Mobile CrowdSensing (MCS) has become, in the last few years, one of the most prominent paradigms for urban sensing. MCS allow people roaming around with their smart devices to collectively sense, gather, and share data, thus leveraging the possibility to capture the pulse of the city. That can be very helpful in emergency scenarios, such as the COVID-19 pandemic, that require to track the movement of a high number of people to avoid risky situations, such as the formation of crowds. In fact, using mobility traces gathered via MCS, it is possible to detect crowded places and suggest people safer routes/places. In this work, we propose an edge-anabled mobile crowdsensing platform, called ParticipAct, that exploits edge nodes to compute possible dangerous crowd situations and a federated blockchain network to store reward states. Edge nodes are aware of all critical situation in their range and can warn the smartphone client with a smart push notification service that avoids firing too many messages by adapting the warning frequency according to the transport and the specific subarea in which clients are located.

scholarly journals The Simulation and Prototyping of a Density-Based Smart Traffic Control System for Learning Purposes

2020 ◽  
Vol 16 (12) ◽  
pp. 70
Author(s):  
Mashael Khayyat ◽  
Omar Aboulola ◽  
Nahla Aljojo ◽  
Basma Alharbi ◽  
Nada Almalki ◽  
...  
Keyword(s):  
Control System ◽  
Traffic Flow ◽  
Waiting Time ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Technological Progress ◽  
Smart Cities ◽  
Traffic Control System ◽  
Smart Traffic

<span> With the tremendous technological progress and the widespread use of a variety of technologies, we note how smart cities are providing services efficiently by using technologies. The aim of this project is to build a Smart Traffic Control System (STCS) to facilitate and optimize traffic flow, minimize traffic congestion, and reduce the waiting time by detecting the density on each street. This work has been carried on four phases. Firstly, collecting data by a questionnaire and we received 331 responses. Secondly, using Proteus simulation. Thirdly, building a low fidelity prototype, and fourthly: building the STCS model by using hardware (Arduino tools) and software (Arduino Software IDE). Finally, we learned how to build a system and we recommend using such a system in busy roads to reduced congestion and making traffic flow more efficient.</span>

Technologies Disability and Inclusion

2018 ◽  
Author(s):  
Tomas Brusell
Keyword(s):  
Social Media ◽  
Augmented Reality ◽  
Information And Communication Technologies ◽  
Future Development ◽  
Smart Cities ◽  
Communication Technologies ◽  
Modern Technology ◽  
The Social ◽  
The Disabled ◽  
Information And Communication

When modern technology permeates every corner of life, there are ignited more and more hopes among the disabled to be compensated for the loss of mobility and participation in normal life, and with Information and Communication Technologies (ICT), Exoskeleton Technologies and truly hands free technologies (HMI), it's possible for the disabled to be included in the social and pedagogic spheres, especially via computers and smartphones with social media apps and digital instruments for Augmented Reality (AR) .In this paper a nouvel HMI technology is presented with relevance for the inclusion of disabled in every day life with specific focus on the future development of &quot;smart cities&quot; and &quot;smart homes&quot;.

Awareness Analysis of Smart Car Parking System in Heterogeneous High Density Clusters

2017 ◽  
Vol DC CPS 2017 (01) ◽  
pp. 22-26 ◽  
Author(s):  
Elsie Chidinma Anderson ◽  
A. A. Obayi ◽  
K.C. Okafor
Keyword(s):  
Traffic Congestion ◽  
Urban Population ◽  
New Technology ◽  
Innovative Technology ◽  
Survey Analysis ◽  
Metropolitan Cities ◽  
Port Harcourt ◽  
Parking System ◽  
Statistical Survey ◽  
Co Emission

The swiftly growing urban population of Nigeria is generating lots of tension in the cities in line with the rapid increase of vehicles. This is due to hitherto reliance on the present parking system which has no standard to check for parking spaces, hence generating problems such as traffic congestion, time wastage in search of parking slot, fuel consumption/CO emission, insecurity of vehicles etc. This work presents a quantitative statistical survey analysis conducted in selected metropolitan cities in Port Harcourt, Nigeria. The aim is to create awareness on Smart Car Parking System (SCPS) for heterogeneous clustered environments. The results of the conducted analysis showed that the awareness of this innovative technology is still at its tender stage in Nigeria. Findings shows that people are willing to adopt this new technology to assist in overcoming the challenges faced in the present parking system that is unstructured. A brief description of proposed SCPS based on Big data hardware is presented.

scholarly journals Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2143
Author(s):  
Sara Paiva ◽  
Mohd Abdul Ahad ◽  
Gautami Tripathi ◽  
Noushaba Feroz ◽  
Gabriella Casalino
Keyword(s):  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
City Planning ◽  
Smart Cities ◽  
The Sustainable Development ◽  
Current Trends ◽  
Enabling Technologies ◽  
Entry Points ◽  
Development Goals ◽  
Smart Mobility

The increasing population across the globe makes it essential to link smart and sustainable city planning with the logistics of transporting people and goods, which will significantly contribute to how societies will face mobility in the coming years. The concept of smart mobility emerged with the popularity of smart cities and is aligned with the sustainable development goals defined by the United Nations. A reduction in traffic congestion and new route optimizations with reduced ecological footprint are some of the essential factors of smart mobility; however, other aspects must also be taken into account, such as the promotion of active mobility and inclusive mobility, encouraging the use of other types of environmentally friendly fuels and engagement with citizens. The Internet of Things (IoT), Artificial Intelligence (AI), Blockchain and Big Data technology will serve as the main entry points and fundamental pillars to promote the rise of new innovative solutions that will change the current paradigm for cities and their citizens. Mobility-as-a-service, traffic flow optimization, the optimization of logistics and autonomous vehicles are some of the services and applications that will encompass several changes in the coming years with the transition of existing cities into smart cities. This paper provides an extensive review of the current trends and solutions presented in the scope of smart mobility and enabling technologies that support it. An overview of how smart mobility fits into smart cities is provided by characterizing its main attributes and the key benefits of using smart mobility in a smart city ecosystem. Further, this paper highlights other various opportunities and challenges related to smart mobility. Lastly, the major services and applications that are expected to arise in the coming years within smart mobility are explored with the prospective future trends and scope.

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