Design and Optimization of Intelligent Transportation System for Smart Cities 2019-01-0489
Smart cities needs an Intelligent Transportation System (ITS) which can meet their transportation requirements. Transportation in a smart city should be hassle-free, environment friendly, and of connected and shared vehicles for better public transportation services. An ITS is supposed to offer these through better traffic control, energy and fleet management. The best fit for this is the Electric Vehicle which also resolves the energy issues of the future. EVs equipped with intelligence i.e., Autonomous Electric Vehicles (AEVs) adds the connected and shared layer required by a smart city. These are capable of communicating the relevant transportation information with other relevant receivers and the communication is referred as Vehicle-to-anything (V2X) communication. This work proposes an ITS whose framework depends on the communication between these EVs and utilizes the applications of an IoT network. MQTT protocol is considered for IoT data exchange within the IoT cloud. Information about availability of public AEVs is shared with the passengers through a mobile application. Rigorous algorithms are developed to maintain the frequency and availability of public AEVs using data analysis of real-time demands of AEVs in a particular area. Moreover, these AEVs can also be utilized for the energy management of smart cities by connecting them with smart grids and sharing the energy as required. Illustrative study is made for to optimize and regulate the traffic and public transportation for the route between Masjid-e-Nabvi and Masjid-e-Quba of Madina city in Saudi Arabia which faces huge traffic during Hajj. The route discusses retrofitting for introducing smart transformations of existing structures like street lights, road dividers, and commercial building. Greenfield developments for innovation planning and implementation of establishments like smart grid, Level-2 and Level-3 charging stations. A centralized control is installed to monitor and regulate this ITS through robust big data analytics and cloud technology.
Samir Shariff, M. Saad Alam, Zaurez Ahmad, Hafiz Malik, Furkan Ahmad
Taibah University, Aligarh Muslim Univ, Aligarh Muslim University, Univ of Michigan-Dearborn