Retraction Note to: A FCM cluster: cloud networking model for intelligent transportation in the city of Macau

Systems trying to solve mobility issues in cities, such as high levels of accidents and traffic congestion, have been developed worldwide. Intelligent Transportation Systems (ITS) services focused on urban public transport are an option contributing to solve such issues. A few intermediate cities in the Latin American context have developed some of these ITS services, which are mainly based on a tracking system for public transport vehicles. Such tracking systems have great limitations in terms of coverage, availability, and operational cost. In addition, they are commonly isolated mobility solutions, which cannot be easily integrated with other mobility services in the city because they are not based on an ITS architecture. In order to improve public transportation systems in intermediate cities, we proposed the development of an IoT-based public vehicle tracking system, using LoRa (Long Range) and ITS services. In this research, we developed the proposed system as a proof of concept. We designed and executed some experiments, in order to adjust parameters of the LoRa technology and to test its operation. This article presents the methods we followed for developing the proof-of-concept model, a description of the experiments, and their results. The results lead to conclude that the LoRa technology and an IoT-based system are adequate for implementation of a mobility service such as the one we propose, once important technical restrictions related mainly to Line of Sight (LoS) are considered. Key aspects for implementation were also identified for deploying the service (as a prototype) in the city of Popayán.

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Collaboration of Smart City Services with Appropriate Resource Management and Privacy Protection

Journal of Ubiquitous Computing and Communication Technologies - December 2019 ◽

10.36548/jucct.2021.1.005 ◽

2021 ◽

Vol 3 (1) ◽

pp. 43-51

Author(s):

Subarna Shakya

Keyword(s):

Smart City ◽

Privacy Protection ◽

Privacy Preservation ◽

Simulation Analysis ◽

Intelligent Transportation ◽

Edge Computing ◽

Processing Ability ◽

The City ◽

Collaborative Diagnosis ◽

High Processing

Smart city is a quickly developing approach that is powered by Internet of Things (IoTs), providing a number of services such as collaborative diagnosis and intelligent transportation. In general, in a smart city, the terminals have certain limitations that crib their capability of processing cross application and diversified services. Due to insufficient availability of resources that can be used to develop a collaborative smart city services, a novel methodology that is highly recommended is edge computing which holds facility with high processing ability in the city terminals. However, the threat of privacy and safety of information in the collaborative services is crucial in order to ensure a safer environment of edge computing. To address this privacy issue, we have proposed an offloading method that can be used in smarty city to strengthen the privacy, promote edge utility and improve offloading efficiency. In order to establish balance between the collaborative service and privacy preservation, edge computing is integrated with information entropy. The performance is further verified using simulation analysis in appropriate environment.

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Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems

Energies ◽

10.3390/en14196309 ◽

2021 ◽

Vol 14 (19) ◽

pp. 6309

Author(s):

Mohammad Peyman ◽

Pedro J. Copado ◽

Rafael D. Tordecilla ◽

Leandro do C. Martins ◽

Fatos Xhafa ◽

...

Keyword(s):

Intelligent Transportation Systems ◽

Smart Cities ◽

Intelligent Transportation ◽

Transportation System ◽

Transportation Systems ◽

Edge Computing ◽

Analytical Models ◽

Current Status ◽

Ride Sharing ◽

The City

With the emergence of fog and edge computing, new possibilities arise regarding the data-driven management of citizens’ mobility in smart cities. Internet of Things (IoT) analytics refers to the use of these technologies, data, and analytical models to describe the current status of the city traffic, to predict its evolution over the coming hours, and to make decisions that increase the efficiency of the transportation system. It involves many challenges such as how to deal and manage real and huge amounts of data, and improving security, privacy, scalability, reliability, and quality of services in the cloud and vehicular network. In this paper, we review the state of the art of IoT in intelligent transportation systems (ITS), identify challenges posed by cloud, fog, and edge computing in ITS, and develop a methodology based on agile optimization algorithms for solving a dynamic ride-sharing problem (DRSP) in the context of edge/fog computing.These algorithms allow us to process, in real time, the data gathered from IoT systems in order to optimize automatic decisions in the city transportation system, including: optimizing the vehicle routing, recommending customized transportation modes to the citizens, generating efficient ride-sharing and car-sharing strategies, create optimal charging station for electric vehicles and different services within urban and interurban areas. A numerical example considering a DRSP is provided, in which the potential of employing edge/fog computing, open data, and agile algorithms is illustrated.

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Intelligent Transportation Cyber-Physical System: On Crowd through Event Detection for Public Urban Transportation

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1271.0982s1119 ◽

2019 ◽

Vol 8 (2S11) ◽

pp. 2375-2379

Keyword(s):

Event Detection ◽

Intelligent Transportation System ◽

Intelligent Transportation ◽

Crowd Sensing ◽

Social Events ◽

Crowd Density ◽

The Social ◽

Social Event Detection ◽

Primary Focus ◽

The City

Intelligent Transportation System (ITS) has become the popular area of research since the last decade. Knowing the crowd density in every region of the city is of high importance for an ITS in delivering adequate transport facility to the public. Further, the occurrence of social events draw public crowd occasionally, in any specific region of the city. Thus, the combination of both the identification of crowd density and the social event detection lays a path to an interesting research in ITS. Having said, this paper proposes a methodology for the effective design of ITS with a primary focus on crowd sensing. The paper also presents a taxonomy of methods used to gather crowd density information through various sources. Furthermore, the research works that focused on event detection and crowd analysis are studied. Finally, the open challenges are identified and outlined which are promising research directions for ITS.

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Problems and Solutions of Big Data Technology in Intelligent Transportation Application—Take the City of Suzhou for Example

Lecture Notes in Electrical Engineering - Innovative Computing ◽

10.1007/978-981-16-4258-6_158 ◽

2022 ◽

pp. 1297-1304

Author(s):

Junyao Guo ◽

Fan Pei

Keyword(s):

Big Data ◽

Intelligent Transportation ◽

Problems And Solutions ◽

The City ◽

Big Data Technology

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IMPROVING ROAD TRAFFIC ORGANIZATION THROUGH THE APPLICATION OF INTELLIGENT TRANSPORTATION SYSTEMS

World of transport and technological machines ◽

10.33979/2073-7432-2021-74-3-80-86 ◽

2021 ◽

Vol 74 (3) ◽

pp. 80-86

Author(s):

L.E. KUSHCHENKO ◽

◽

A.S. KAMBUR ◽

A.A. PEKHOV ◽

◽

...

Keyword(s):

Travel Time ◽

Russian Federation ◽

Intelligent Transportation Systems ◽

Road Traffic ◽

Intelligent Transportation ◽

Transportation Systems ◽

Environmental Situation ◽

The Russian Federation ◽

Traffic Organization ◽

The City

Examples of the use of ITS in various countries are given, improvements in traffic manage-ment, methods of reducing delays, travel time, as well as improving the environmental situation when using systems are considered. The system «Auto-Intellect», used in the territory of the Russian Federation, is presented. On the example of the city of Belgorod, a method of using ITS is pro-posed, by prohibiting the entry of cars into the city, taking into account certain state license plates.

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