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Go to Editorial ManagerToday, our cities are facing a host of challenges to accomplish the quality of life or their inhabitants. On the one hand, city planners and architects seek to preserve heritage, habits, and city peculiarities. On the other hand, it is necessary that the city is kept abreast of the rapid changes in Information and Communications Technology (ICT), Internet of Things (IoT), Artificial Intelligence (AI) and smart city concept. In Baghdad, it could be observed that there are several activities based on community initiatives, awareness campaigns, and initiatives which are self-funding from youth or funding from NGOs, and INGOs. How can we invest in such initiatives to achieve a smart city, emphasizing that the city is for the people, not a city of things? As we know that smart cities have six factors: smart (economy, governance, environment, people, mobility, and living)._x000D_ This paper assumes that smart communities are the seventh factor of smart cities factors which could play an essential role to apply the smartness in Baghdad. In this case, it will help to achieve making decisions and a feedback evaluation system will be subject to transparency, openness, vitality, and sustainability because it will stem from the community and ensure the sustainability in a smart city.
This paper proposes Smart Adjustable Traffic light Time System (SATTS), a cloud-based IoT network model with a central management architecture by using cloud based IoT. The model innovates an algorithm to gather data from IoT devices connected to the sensors network to enable efficient traffic management in smart city appliances. SATTS scheme adjusts the green light period at intersections to alleviate traffic congestion and minimize delays and keep vehicle’s traffic conservation. The mentioned model has been proposed to modifying the timing of green lights at the four ways intersection based on the vehicles arrival rate. The results verified by comparing SATTS with Fixed time Traffic light System (FTS) and Variable Traffic light System (VTS) models, and showed that the proposed schemes can effectively decreases delay and traffic congestion. On average, there is a reduction in the rate of number of waiting cars compared to the arriving cars of 33% in cycle 2 and 50% in cycle 3 for VTS, and 52% in cycle 2 and 75% in cycle 3 for SATT compared to FTS. SATTS minimizes delay time between the four lines of the intersection.