Smart Commiutinty, Smart Transportation and Big Data Hamid Fekri Azgomi Department of Electrical Engineering University of Texas at San Antonio San Antonio, Texas Hamid.fekriazgomi@utsa.edu Mo Jamshidi Fellow, IEEE Department of Electrical Engineering University of Texas at San Antonio San Antonio, Texas mojamshidi4@gmail.com Abstract - World population growing in conjunction with the preference to live in the cities; make the city management a challenging issue. Traditional Cities with their common features will not be able to handle the human needs. As a result, smart city and its beneficial outcomes will attract lots of attention in the following years. In fact, Smart city/community that is the field of collecting and processing data from so many different areas while making proper decisions and feeding to all parts of the system will be the future style of the cities. In other words, smart community is a complex big data problem which should combine different fields of research to make a unit environment. This paper will deal with all aspects of the smart community. There will be also explained different categories of the smart communities in addition to their future challenges. Keywords—Smart Community; Smart City; Big Data; Smart Transportation I. INTRODUCTION Today, more of us than ever before live in cities, with estimations that on average %60 of the world’s population live within 5K of a city, the global expectation is that this average will rise to %70 by 2030. Based on other report, every week there are more than one million people who are choosing the cities as the place they prefer to live [1]. Primarily, this is due to an explosive growth in urbanization that shows little sign of slowing down. In more developed countries the number is already far higher, in the UK for example our city living population reflects over %90 of the population [2]. As a primary result of this population growth could be seen in the dwindling lack of efficiency within cities struggling to manage the growing population. In the midst of this problem there is great potential for accelerating technologies to help carve out a future for everyone on the planet. Accelerating technologies provide revolutionary change that can usher in quantum-like jumps in civilization. Though the connections between accelerating technologies and metropolitan population growth are complex, certain relationship can be teased out. For instance, the story from the Industrial Era is that if a machine can replace human workers, then they will [3]. Huge number of people on one hand, and the rapid industrialization in today’s world on the other hand raise lots of challenges in the traditional methods of the city management. In other words, it will be impossible to handle all human needs in near future unless we could develop our cities style. The concept of the smart city goes to the combination of the data collection, data analysis, computing, networking and making decision based on this big data flow. One of the key factors that play undeniable role in the smart city is Internet of Things (IoT). There will be no smart city without IoT. Based on [7] Internet of Things (IoT) is a system of physical things embedded with sensors, software, electronics and connectivity to allow it to perform better by exchanging information with other connected devices, the operator or the manufacturer. smart cities have become another Information Technology (IT) buzzword linked with the IoT, the idea to build a better connected and more collaborative society, an optimized society if you like where data is used to provide insight [4], [7]. From the other perspective, the smart city could be defined as the macroscopic side and the microscopic one. Macroscopic side goes to the decision making which is at the top level of the smart city structure. On the other hand, microscopic analysis is the details of all parts of the smart cities that work together to perform the decision coming from the macroscopic or high level side. Based on the flow of the data that shared among all parts of the smart cities, this concept is definitely a Big Data system. In the microscopic view point, we could categorize the smart city into different categories. One of the good categorization could be considered as these four: Health care, Environment, Energy and Transportation [4]. Each of these four categories consist of different applications that will be mentioned in the following. One of the most important and challenging fields of the smart city is the smart transportation. As a real prediction, future city management will not be different than the autonomous vehicles in conjunction with the smart traffic control. Autonomous vehicles, smart roads and the infrastructure that all parts of the traffic control could communicate with each other build the smart transportation in a smart community. During recent years, there have been lots of research activities that are dealing with different aspects of the smart transportation [19]. Some of these recent trends will be mentioned in this paper. This present paper is structured as follows, in part II; we will present the different technological areas that build the infrastructure of the smart city. Then different categories of