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DOI10.1145/3341105.3374043
Smart transportation platform for private transportation
Mutombo V.K.; Lee Y.; Kim H.; Kim Y.; Debska N.W.; Hong J.
发表日期2020
起始页码1920
结束页码1927
英文摘要The diversity of technologies in today's world has made Smart city a reality and contribute to improving living conditions. Smart transportation is one of the smart city aspects that aims to solve many problems in cities such as traffic congestion problems, lack of parking lot and others. In this paper, we propose a smart transportation platform for analyzing and designing smart private transportation applications. The proposed model can be served as a blueprint for smart parking application projects in order to solve the lack of parking slot problems. The proposed model can be used for deriving an optimal routing model based on the traffic congestion in order to alleviate traffic congestion during peak time and reduce the travel time, fuel consumption and CO2 emission. The evaluation results show that the proposed model can improve the quality indexes and with the derived optimal routing model, it can have improvements in terms of travel time, fuel consumption and CO2 emission that have been decreased. © 2020 ACM.
英文关键词Optimal routing framework; Smart parking framework; Smart transportation; Software design
scopus关键词Carbon dioxide; Network routing; Smart city; Travel time; CO2 emissions; Congestion problem; Evaluation results; Living conditions; Optimal routing; Private transportation; Quality indices; Smart parking; Traffic congestion
来源期刊Proceedings of the ACM Symposium on Applied Computing
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/176944
作者单位Soongsil University, Seoul, South Korea
推荐引用方式
GB/T 7714
Mutombo V.K.,Lee Y.,Kim H.,et al. Smart transportation platform for private transportation[J],2020.
APA Mutombo V.K.,Lee Y.,Kim H.,Kim Y.,Debska N.W.,&Hong J..(2020).Smart transportation platform for private transportation.Proceedings of the ACM Symposium on Applied Computing.
MLA Mutombo V.K.,et al."Smart transportation platform for private transportation".Proceedings of the ACM Symposium on Applied Computing (2020).
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