Analytical support for logistics processes and transport management in smart city

Abstract

Transport infrastructure of the city is evolving. It became possible to update city SMART model with use of Big Data, Data Mining and intellectual systems. It’s possible to make a situational decision on the identification of transport facilities and infrastructure. Therefore, systemic analysis of the capabilities of solutions based on the paradigm "smart city" is important. In urban traffic flows, places where informal flows meet, special solutions, management measures and safety criteria are needed. Transport services analyze signals using intelligent systems, taking into account real-world situations and flow features. The purpose of the work is to study the logistics system. We are interested in them: manageability, client-orientation, optimization of cargo delivery and key logistics operations. System analysis-synthesis, decomposition and simulation, forecasting, modelling are used. The main result is a system analysis of logistics problems, object-oriented and process-oriented, functional and evolutionary. Analytical support of logistics processes has been analyzed, which makes it possible to manage logistics taking into account economic-cost and operational indicators of SMART-city. The system performance of logistics companies is classified. A system of rationing based on key indicators is proposed. This is important for designing, evaluating, selecting, planning and monitoring logistics transactions, accelerating and reducing the cost of shipping cargo and passengers. The need to audit and outsource SMART-city business processes for integration of administrative solutions and infrastructure evolution is emphasized.