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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Intelligent Transportation System (ITS) for Smart-Cities using Mamdani Fuzzy Inference System
Digital Object Identifier (DOI) : 10.14569/IJACSA.2018.090215
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 2, 2018.
Abstract: It is estimated that more than half of the world population lives in cities according to (UN forecasts, 2014), so cities are vital. Cities, as we all know facing with complex challenges – for smart cities the outdated traditional planning of transportation, environmental contamination, finance management and security observations are not adequate. The developing framework for smart-city requires sound infrastructure, latest current technology adoption. Modern cities are facing pressures associated with urbanization and globalization to improve quality-of-life of their citizens. A framework model that enables the integration of cloud-data, social network (SN) services and smart sensors in the context of smart cities is proposed. A service-oriented radical framework enables the retrieval and analysis of big data sets stemming from Social Networking (SN) sites and integrated smart sensors collecting data streams for smart cities. Smart cities’ understanding is a broad concept transportation sector focused in this article. Fuzzification is shown to be a capable mathematical approach for modelling traffic and transportation processes. To solve various traffic and transportation problems a detailed analysis of fuzzy logic systems is developed. This paper presents an analysis of the results achieved using Mamdani Fuzzy Inference System to model complex traffic processes. These results are verified using MATLAB simulation.
Keywords: Information Communication Technology (ICT), Internet of Things (IoT), Intelligent Transportation System (ITS), Fuzzy Inference System (MFIS), Traffic Congestion Conditions (TCC), SNA, MF, Mamdani Fuzzy Inference System (MFIS)
Kashif Iqbal, Muhammad Adnan Khan, Sagheer Abbas, Zahid Hasan and Areej Fatima, “Intelligent Transportation System (ITS) for Smart-Cities using Mamdani Fuzzy Inference System” International Journal of Advanced Computer Science and Applications(IJACSA), 9(2), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090215
@article{Iqbal2018,
title = {Intelligent Transportation System (ITS) for Smart-Cities using Mamdani Fuzzy Inference System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090215},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090215},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {2},
author = {Kashif Iqbal and Muhammad Adnan Khan and Sagheer Abbas and Zahid Hasan and Areej Fatima}
}
