Evaluation Index Development for Intelligent Transportation System in Smart Community Based on Big Data

Li, Ruimin; Kido, Ai; Shi, Wang

doi:10.1155/2014/541651

Cited by 21 publications

(5 citation statements)

References 14 publications

(17 reference statements)

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“…Meanwhile, empirical progress has been made in the evaluation of community livability through building the evaluation indicator system [29]. An evaluation index system for transportation in smart communities has been designed to deal with the transportation problems that often occur in the smart community [30]. Furthermore, an indicator system was developed to evaluate the level of community governance from the perspective of participatory governance, and 33 secondary evaluation indicators were included in this system [31].…”

Section: Introductionmentioning

confidence: 99%

CRITIC-TOPSIS Based Evaluation of Smart Community Governance: A Case Study in China

Yin¹,

Wang

et al. 2023

Sustainability

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As the basic unit of a smart city, the smart community has received considerable attention and problems in community governance have appeared simultaneously. Previous studies of smart community governance have failed to encompass all aspects, especially the evaluation tools for ensuring its outcomes. Therefore, this paper developed a comprehensive evaluation framework based on the CRITIC-TOPSIS method combined with the identified evaluation indicators. Seven smart communities from four cities in China were selected as cases to show how this evaluation framework could be applied to decision-making. The results indicated that the evaluation indicator ”Mediation of Conflict” had the highest weight while ”The participation of social enterprises in governance” had the lowest weight. Furthermore, the Yucun community presented the highest governance performance among these seven smart communities. Several strategies are proposed for improving the level of smart community governance, such as devoting significant resources to develop infrastructure in smart communities, facilitating communication among multiple participants, and increasing funding for the implementation of smart communities. This research contributes both to the innovation of community governance evaluation and to the improvement of smart communities.

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Section: Introductionmentioning

confidence: 99%

CRITIC-TOPSIS Based Evaluation of Smart Community Governance: A Case Study in China

Yin¹,

Wang

et al. 2023

Sustainability

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“…ITS is employed in the following scopes: 1-The management and monitoring the traffic, 2-Traffic optimization, 3-Driving autonomously, 4-Identifying the status of driver, 5-Identifying the mechanism of driver behavior and 6-Preventing and analyzing car accidents [12] and its primary goal is to employ appropriate technologies to generate more intelligent users, vehicles and roads [15]. To sum up, due to having some specific characteristics, such as 1-automated computation, 2-flexibility, 3-providing precise, accurate and up-to-date information and 4-owning asynchronous and distributed algorithms for control, coordination and resource management undoubtedly in the near future intelligent transportation systems will attain increasing importance [16].…”

Section: Intelligent Transportation Systemsmentioning

confidence: 99%

Providing Performance Evaluation Indicators for Intelligent Transportation Systems (The Case Study of Tehran-Karaj Freeway Located in Iran)

Taimouri¹,

Emamisaleh²

2020

JTTs

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Intelligent Transportation Systems (ITS) play a fundamental role in reducing traffic congestion and increasing safety during daily transportation. These systems can also be useful in improving social welfare leading to general satisfaction. Proper performance evaluation can be efficient in improving the performance of these systems, and providing a scientific assessment index system can assist decision-makers in smart communities to plan for the development of ITS. However, the evaluation of these systems requires identifying appropriate indicators of performance evaluation that are consistent with the views of the beneficiaries of these systems. In this paper, performance evaluation indicators of ITS have been identified, and three indicators entitled "environmental and safety", "assistance in reducing traffic congestion" and "attractive public transport" are presented to evaluate the performance of these systems. Moreover, the intelligent transport systems of the Tehran-Karaj Freeway in Iran are studied, and inferential statistical methods are employed to test the research hypotheses. It is worth noticing that in this study, a one-sample T-test method is used for hypotheses assessment and the SPSS software was used to analyze the findings. Also, the results demonstrated that the performance of ITS in the Tehran-Karaj Freeway regarding the indicators, such as "Declaration of route blocking information due to maintenance or reconstruction" and "Declaration of path geometry conditions" has not been acceptable.

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“…In the CPDM structure, three modules were executed, appreciate the information crawler, highlight age, and machine learning module [25]. And in addition to registering the key highlights of the information [26], Ruimin Li et al [27], An evaluation of the significant transport-related files built up by a few offices was the primary extent of the examination. The investigation additionally enhanced a list framework [28] for transportation frameworks in smart networks focused on huge information.…”

Section: Literature Reviewmentioning

confidence: 99%

Indian Smart City Ranking Model

Sharma¹,

Tayal²

2019

IJRTE

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In the last decade, sensible urbanization gains additional quality in international urban designing. The term "Smart City" is essential to mix multiple info and communication technology (ICT) to manage the town. Nowadays, additional individuals prefer to board associate geographic area for sensible living. Therefore, the researcher/urban planner is developing "Smart City" models supported essential dimensions, governance, economy, setting, people, mobility, and livingtheses existing customary model and definition designed by that specialize in European and American cities. The necessity for Indian sub-continent "Smart City" model has arisen through an associate initiative taken by Indian prime minister in 2014 to develop one hundred sensible cities. So, paper, Indian "Smart City" model defines with new dimensions Demographics Profile, Economic Profile, Infrastructure Profile, e-Governance& Computerization, Finance, Environmental, Progress Track, and Security per sub-continent of India. The model has eight dimensions and eighty indicators for a city. The distance-based algorithm (DBA) is used to rank the Indian "Smart City." This algorithm decides on the bases of multiple indicators of the Indian "Smart City." The Indian "Smart City" ranking is measure as per the computed distance of optimum values of indicators.

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Evaluation Index Development for Intelligent Transportation System in Smart Community Based on Big Data

Cited by 21 publications

References 14 publications

CRITIC-TOPSIS Based Evaluation of Smart Community Governance: A Case Study in China

CRITIC-TOPSIS Based Evaluation of Smart Community Governance: A Case Study in China

Providing Performance Evaluation Indicators for Intelligent Transportation Systems (The Case Study of Tehran-Karaj Freeway Located in Iran)

Indian Smart City Ranking Model

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