Intelligent Transportation System (ITS) for Smart-Cities using Mamdani Fuzzy Inference System
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 2
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 Cities, as we all know facing with complex challenges – for smart cities the outdated traditional planning of transportation, environmental contamination, finance management and security observations are not adequate.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.
Authors and Affiliations
Kashif Iqbal, Muhammad Adnan Khan, Sagheer Abbas, Zahid Hasan, Areej Fatima
Keywords
Related Articles
- EP ID EP276396
- DOI 10.14569/IJACSA.2018.090215
- Views 131
- Downloads 0
An Efficient Algorithm for Load Balancing in Multiprocessor Systems
A multiprocessor system is a computer with two or more central processing units (CPUs) with each one sharing the common main memory as well as the peripherals. Multiprocessor system is either homogeneous or heterogeneous...
Robust Face Detection Using Circular Multi Block Local Binary Pattern and Integral Haar Features
In real world applications, it is very challenging to implement a good detector which gives best performance with great speed and accuracy. There is always a trade-off in terms of speed and accuracy, when we consider per...
Cloud Security based on the Homomorphic Encryption
Cloud computing provides services rather than products; where it offers many benefits to clients who pay to use hardware and software resources. There are many advantages of using cloud computing such as low cost, easy t...
Method for Image Source Separation by Means of Independent Component Analysis: ICA, Maximum Entory Method: MEM, and Wavelet Based Method: WBM
Method for image source separation based on Independent Component Analysis: ICA, Maximum Entropy Method: MEM, and Wavelet Based Method: WBM is proposed. Experimental results show that image separation can be done from th...
Four-Class Motor Imagery EEG Signal Classification using PCA, Wavelet and Two-Stage Neural Network
Electroencephalogram (EEG) is the most significant signal for brain-computer interfaces (BCI). Nowadays, motor imagery (MI) movement based BCI is highly accepted method for. This paper proposes a novel method based on th...