Traffic Congestion Detection System through Connected Vehicles and Big Data

Cárdenas-Benítez, Néstor; Aquino-Santos, Raúl; Magaña-Espinoza, Pedro; Aguilar-Velazco, José Carlos; Edwards-Block, Arthur; Cass, Aldo Medina

doi:10.3390/s16050599

Cited by 74 publications

(35 citation statements)

References 53 publications

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“…Road transport causes a negative impact both on the environment and society [4]. This negative impact is especially noticeable through frequent traffic congestion and a higher risk of traffic accidents, a higher level of noise, and exhaust gases, directly emitted by transport vehicles [5][6][7][8]. Additionally, there are also secondary negative impacts, such as the quantity of gases emitted in the production process of motor fuels, and an increased level of stress to all types of motorists and pedestrians [9,10] Within the framework of the European transport policy and as a cornerstone of the EU supporting the efficient integration and cohesion of its internal market, the Motorways of the Sea concept was 2 of 21 introduced as an effective means to alleviate congestion from road transport infrastructure [11].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Sustainable Motorways of the Sea Services Multi-Criteria Analysis of a Croatian Port System

et al. 2019

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Motorways of the Sea present a practical example of combined and sustainable transport. With respect to the present model of functionality of the transport system in the Republic of Croatia, where the development of the port and of the gravitational transport system is left to each individual port (six independent ports), and where there is no systematic approach to specialization of each port or route, the results of the analysis are not promising. The goal of this research is to explain why the current Motorways of the Sea implementation model is inefficient and unsustainable. The analysis shows that a scientific approach to multicriteria analysis, which includes the identification of all relevant factors, the analysis of the transport infrastructure, as well as the identification of criteria which could potentially affect the Motorways of the Sea system, can correctly define the optimal model for the implementation of a sustainable Motorways of the Sea system.

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Section: Introductionmentioning

confidence: 99%

Implementation of Sustainable Motorways of the Sea Services Multi-Criteria Analysis of a Croatian Port System

et al. 2019

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“…The IoT vehicle-to-vehicle (V2V) technology is used to implement such systems. Various research works were and are still being conducted on the topic (see [40][41][42][43][44][45][46]). Implementing such system in the developing countries is easier than in the developed countries since personal data protection or data privacy act is less restrictive in the developing world.…”

Section: Crowdsensing-based Road Congestion Detectionmentioning

confidence: 99%

“…Implementing such system in the developing countries is easier than in the developed countries since personal data protection or data privacy act is less restrictive in the developing world. Alternative solution approaches based on inter-vehicular communication with respect to the data privacy and security have been discussed in [42,47].…”

Section: Crowdsensing-based Road Congestion Detectionmentioning

confidence: 99%

Internet of Things in Emergency Medical Care and Services

Edoh¹

2019

Medical Internet of Things (M-IoT) - Enabling Technologies and Emerging Applications

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Emergency care is a critical area of medicine whose outcomes are influenced by the time, availability, and accuracy of contextual information. In addition, the success of emergency care depends on the quality and accuracy of the information received during the emergency call and data collected during the emergency transportation. The success of a follow medical treatment at an emergency care unit depends too on data collected during the two phases: emergency call and transport. However, most information received during an emergency-call is inaccurate and the process of information collection, storage, processing, and retrieval, during an emergency-transportation, is remaining manual and time-consuming. Emergency doctors mostly lack patient's health records and base the medical treatment on a set of collected information including information provided by the patient or his relatives. Hence, the emergency care delivery is more patient-centered than patient-centric information. Wireless body area network and Internet of Technology (IoT) enable accurate collection of data and are increasingly used in medical applications. This chapter discusses the challenges facing the emergency medical care services delivery, especially in the developing countries. It presents and discusses an IoT platform for a patient-centric-information-based emergency care services delivery. The study is focused on a case of road traffic injury. Results of conducted experiments are discussed.

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“…In [6], they discussed the simulation and evaluation of a traffic congestion detection system which combines intervehicular communications, fixed roadside infrastructure and infrastructure-to-infrastructure connectivity and big data. The system gave permission to drivers to identify traffic jam and change their routes to save time.…”

Section: Fig 1: Traffic Data Network [3]mentioning

confidence: 99%

Traffic Congestion Control based In-Memory Analytics: Challenges and Advantages

Al-Sabaawi¹

2017

IJCA

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A method for loading detailed data from more than one source into the main memory in traffic system is presented. The challenges include data volume, data velocity, and Data variation of the traffic. The method uses In-memory analytics to improve query evaluation, to analysis and process reports in the traffic system. This occurs with the development of multicore processors, the loading of data, and the way image and video traffic data are stored and transferred into/from the data centers of different divisions and centralizing access to traffic management facilities, equipment and application systems. General TermsBig Data Traffic Congestion, In-memory analytics.

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Traffic Congestion Detection System through Connected Vehicles and Big Data

Cited by 74 publications

References 53 publications

Implementation of Sustainable Motorways of the Sea Services Multi-Criteria Analysis of a Croatian Port System

Implementation of Sustainable Motorways of the Sea Services Multi-Criteria Analysis of a Croatian Port System

Internet of Things in Emergency Medical Care and Services

Traffic Congestion Control based In-Memory Analytics: Challenges and Advantages

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