Intelligent Transportations Systems : Review of Current Challenges and Success Factors: The Case of Developing Countries

Mokaddem, Youssef El; Jawab, Fouad; Saad, Lissane Elhaq

doi:10.1109/logistiqua.2019.8907308

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…Financial Feasibility, also known as economic performance, covers productivity, profitability, revenues, and costs of blockchain-based ITS initiatives [47]. It is determined that the success factor of financial feasibility or economic performance was defined in almost all primary studies [10,[13][14][15]26,[48][49][50][51][52]. Blockchain-based ITS should have a feasible return on investment and short payback timeline for success, as every other innovation project.…”

Section: -2-1-financial Feasibilitymentioning

confidence: 99%

“…Having tremendous financial resources provides organizations to initiate and maintain changes and engagement in an increasingly cooperative behavior [27,55]. Budget restrictions, as a lack of resources for maintenance and operations, as well as the high implementation cost of blockchain-based ITS, make the factor of financial support as an essential CSF for blockchain-based ITS [50].…”

Section: -2-2-financial Supportmentioning

confidence: 99%

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Exploring Critical Success Factors for Blockchain-based Intelligent Transportation Systems

Çaldağ

Gökalp

2020

Emerg Sci J

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Utilization of Intelligent Transportation Systems (ITS) provides increasing demands on decreasing traffic congestions, transportation safety, and environmental problems as well as increasing transportation capacity. Over the past few years, one of the most disruptive and transformational technologies, blockchain technology, has emerged. As a result of offering more security, privacy, traceability, transparency, and decentralized authority, the utilization of blockchain technology in ITS have increased drastically. Despite this increase, there is a lack of a good understanding of what are the Critical Success Factors (CSF) to support IT providers for designing their products properly, and to provide industry leaders to focus on the main drivers of their outstanding projects. This study aims to explore and analyze CSFs that can facilitate the success of blockchain-based ITS, which has so far been neglected despite its remarkable relevance. In doing so, eleven primary studies, identified as a result of conducting a systematic literature review (SLR), were taken as a baseline to develop the model of CSFs. Additionally, since the number of existing studies related to CSFs for blockchain and ITS are limited, an expert panel was formed to evaluate and contribute to the model. The developed model of CSF for blockchain-based ITS, having a comprehensive approach, consists of 29 CSFs defined under five main contexts, namely technical, management, governance, quality of service, and quality of life. Doi: 10.28991/esj-2020-SP1-03 Full Text: PDF

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Section: -2-1-financial Feasibilitymentioning

confidence: 99%

Section: -2-2-financial Supportmentioning

confidence: 99%

Exploring Critical Success Factors for Blockchain-based Intelligent Transportation Systems

Çaldağ

Gökalp

2020

Emerg Sci J

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“…El Mokaddem et al [18] This is a review paper that presents current challenges and success factors of ITS applications in developing countries.…”

Section: Ding and Huang [15]mentioning

confidence: 99%

A vision-based real-time traffic flow monitoring system for road intersections

Azimjonov

Özmen

Varan

2023

Multimed Tools Appl

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In this study, a vision based real-time traffic flow monitoring system has been developed to extract statistics passes through the intersections. A novel object tracking and data association algorithms have been developed using the bounding-box properties to estimate the vehicle trajectories. Then, rich traffic flow information such as directional and total counting, instantaneous and average speed of vehicles are calculated from the predicted trajectories. During the study, various parameters that affect the accuracy of vision based systems are examined such as camera locations and angles that may cause occlusion or illusion problems. In the last part, sample video streams are processed using both Kalman filter and new centroid-based algorithm for comparative study. The results show that the new algorithm performs 9.18% better than Kalman filter approach in general.

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“…It is also clear that the experience of various types of smart transportation expertise and other expertise must be brought together. For the success of the assessment, expert views should be aligned with all of the success factors described [27]. However, it may not be possible to gather all the experts.…”

Section: Related Workmentioning

confidence: 99%

An Assessment Framework for the Transformation of Mobility 4.0 in Smart Cities

İnaç

Öztemel

2021

Systems

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Investing in digital transformation turns out to be a strategic action to tackle contemporary issues and to improve competitiveness for enterprises. The high variability of options in the digital transformation process enforces a higher complexity level in configuring and setting up objectives and goals based on cities’ needs; hence, a systematic approach is required to assist decision makers for better and sustainable transformation. A reference model is described in this paper to support decision makers with comprehensive assessment data for digital transformation cities transport. The proposed reference model assesses the cities based on digital transformation of transport services to assist policy makers for better decisions in transforming the Mobility 4.0. The proposed model in this study functions as a knowledge-based systematic framework for assessing the capabilities of the cities, diagnosing their needs under given circumstances and identifying the best fitting workflow for digital transformation of urban transportation systems and related services. The reference model takes on board a group of smart city indices with respective assessment criteria in determining a smartness level of transportation components. A conceptual 4-tier smartness scale has been proposed to establish a consistent assessment subject to cities circumstances in many respects. The reference model has been formalised into a mathematical model to characterise the assessments. The mathematical model encompasses strategic assessments by experts to identify priorities of investments in the digitalization process, which are aligned with strategic goals and policies of cities’ management.

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Intelligent Transportations Systems : Review of Current Challenges and Success Factors: The Case of Developing Countries

Cited by 9 publications

References 4 publications

Exploring Critical Success Factors for Blockchain-based Intelligent Transportation Systems

Exploring Critical Success Factors for Blockchain-based Intelligent Transportation Systems

A vision-based real-time traffic flow monitoring system for road intersections

An Assessment Framework for the Transformation of Mobility 4.0 in Smart Cities

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