Intelligent Transportation Systems Architecture: Recommendation for K-AUS

Capali, Buket

doi:10.31202/ecjse.1132804

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…It combines the concepts of urban sensing, data management and analytics, and various service-providing mechanisms into a recurrent process for a discreet and continuous improvement of an individual's transit experience and operations of the city transport authority [107]. The main goal of creating intelligent transportation systems architecture is to design and implement human-focused, sustainable transportation systems with cuttingedge technologies such as industry 4.0 technologies, mobile applications, augmented reality, and the internet of things [108]. ITS technologies and monitoring systems are quite popular and reasonably well deployed in developed countries, particularly the roadways and airways [109].…”

Section: Application Of Advance Technologiesmentioning

confidence: 99%

Identifying Causes of Traffic Crashes Associated with Driver Behavior Using Supervised Machine Learning Methods: Case of Highway 15 in Saudi Arabia

et al. 2022

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Identifying the causes of road traffic crashes (RTCs) and contributing factors is of utmost importance for developing sustainable road network plans and urban transport management. Driver-related factors are the leading causes of RTCs, and speed is claimed to be a major contributor to crash occurrences. The results reported in the literature are mixed regarding speed-crash occurrence causality on rural and urban roads. Even though recent studies shed some light on factors and the direction of effects, knowledge is still insufficient to allow for specific quantifications. Thus, this paper aimed to contribute to the analysis of speed-crash occurrence causality by identifying the road features and traffic flow parameters leading to RTCs associated with driver errors along an access-controlled major highway (761.6 km of Highway 15 between Taif and Medina) in Saudi Arabia. Binomial logistic regression (BNLOGREG) was employed to predict the probability of RTCs associated with driver errors (p < 0.001), and its results were compared with other supervised machine learning (ML) models, such as random forest (RF) and k-nearest neighbor (kNN) to search for more accurate predictions. The highest classification accuracy (CA) yielded by RF and BNLOGREG was 0.787, compared to kNN’s 0.750. Moreover, RF resulted in the largest area under the ROC (a receiver operating characteristic) curve (AUC for RF = 0.712, BLOGREG = 0.608, and kNN = 0.643). As a result, increases in the number of lanes (NL) and daily average speed of traffic flow (ASF) decreased the probability of driver error-related crashes. Conversely, an increase in annual average daily traffic (AADT) and the availability of straight and horizontal curve sections increased the probability of driver-related RTCs. The findings support previous studies in similar study contexts that looked at speed dispersion in crash occurrence and severity but disagreed with others that looked at absolute speed at individual vehicle or road segment levels. Thus, the paper contributes to insufficient knowledge of the factors in crash occurrences associated with driver errors on major roads within the context of this case study. Finally, crash prevention and mitigation strategies were recommended regarding the factors involved in RTCs and should be implemented when and where they are needed.

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Section: Application Of Advance Technologiesmentioning

confidence: 99%

Identifying Causes of Traffic Crashes Associated with Driver Behavior Using Supervised Machine Learning Methods: Case of Highway 15 in Saudi Arabia

et al. 2022

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“…One of the priorities for the realization of activities in accordance with the definition of C-ITS, which is the provision of more effective and efficient service in transportation with the cooperation of more than one ITS component, is the establishment of an ITS architecture. Thus, it will be possible to gather and integrate systems under a single roof, determine communication protocols, and ensure data integrity [16]. From this point of view, it can be said that the spread and development of C-ITS is directly connected and interconnected with the field of intelligent transportation.…”

Section: Its and C-its Relationship And Stakeholdersmentioning

confidence: 99%

A brief survey on cooperative intelligent transportation systems and applications

TALİH,

TEKTAŞ

2023

International Journal of Automotive Science and Technology

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Cooperative Intelligent Transport Systems (C-ITS) have emerged to provide a range of intel-ligent transport services that optimize traffic management, improve the travel experience of road users, increase road safety and security, and reduce the negative environmental impacts of transport. C-ITS, which aim to ensure that intelligent transport services function effec-tively and efficiently, communicate and exchange data with vehicles, road users, traffic con-trol centers, and road infrastructure as well. In this study, an overview of C-ITS related ac-tivities in the world and in Türkiye are discussed. C-ITS studies in literature and the objec-tives and benefits of C-ITS, its stakeholders, its relationship with ITS, its components and services are examined. After summarizing C-ITS studies in the world, policies and strategies in Europe, USA and Asian countries, and the current situation in Türkiye is provided. In addition, since there are limited studies on C-ITS in Türkiye, where ITS is still in its devel-opment stage, it is aimed to contribute to the literature by presenting recommendations for Türkiye to support the dissemination of C-ITS.

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Dünyada ve Türkiye'de Akıllı Ulaşım Sistemleri ve Politikaları: Sürdürülebilir Ulaşım Açısından Bir Değerlendirme

TALİH,

ÇELİKOK

2023

Süleyman Demirel Üniversitesi Vizyoner Dergisi

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As people have to change their places in order to meet their needs, there has been an increase in the demand for mobility and transport. It has become more important to correctly plan the time spent on roads and traffic according to criteria such as safety, security, comfort, and environmental impacts for the seamless mobility of people and goods. One of the prominent concepts in the studies and search for solutions in this direction is intelligent transport systems. The purpose of the study is to find out the importance of Intelligent Transport Systems (ITS) and policies in the world and in Türkiye in terms of sustainable transportation. In this context, firstly, the importance of ITS and its regional development in the historical process is mentioned. Then, ITS activities and policies in Türkiye and their place in strategy documents is analysed. Finally, the National ITS Strategy and Action Plans related to intelligent transport systems, which have developed as a new transport solution within the framework of sustainability in the world, are evaluated in terms of their contribution to transport, economy and climate change, and technical, administrative, and social focus areas to increase ITS deployments in Türkiye are presented.

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Intelligent Transportation Systems Architecture: Recommendation for K-AUS

Cited by 4 publications

References 6 publications

Identifying Causes of Traffic Crashes Associated with Driver Behavior Using Supervised Machine Learning Methods: Case of Highway 15 in Saudi Arabia

Identifying Causes of Traffic Crashes Associated with Driver Behavior Using Supervised Machine Learning Methods: Case of Highway 15 in Saudi Arabia

A brief survey on cooperative intelligent transportation systems and applications

Dünyada ve Türkiye'de Akıllı Ulaşım Sistemleri ve Politikaları: Sürdürülebilir Ulaşım Açısından Bir Değerlendirme

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