# Intelligent Total Transportation Management System for Future Smart Cities
## 1 Introduction
This paper aims to deal with traffic as a single system [43; 44; 45] and considers its total management, including systematic description, hierarchical approach, general optimization method, sensing, technologies, and data processing. Here, single means all types of motion of people (from pedestrian up to luxury car driving) and goods via all types of transport (bicycle, trains, inland water navigation, air transport, emergency transport) working in one single system supported by, e.g., the transportation infrastructure, transportation services, logistics, or controlling elements. The total transportation management controls the defined single transportation system totally by using the described above hierarchically defined interconnected vehicles and predefined optimization rules. According to smart city programs, the transportation system is also smart and/or intelligent. In general, smart and intelligent are similar terms. Smart might solve the problem (as solving the mobility and transportation tasks with the available technologies and theories), while intelligent might provide a different solution to the same problem, depending on the exact circumstances and characteristics. The paper shows a possible method to link the gap between the solutions developed for the system elements (like control of junction, smart parking, optimization of changing the transport means at multi-modal transport centers) and the management of the total system. The overall objective of this paper is to introduce a vision and a concept of managing the total transportation system by defining the concept, the methodology, and the required sub-model developments for the future intelligent transportation related to smart cities. The introduced vision to optimize the total transportation management is a novel approach that can be applied already but needs further developments in the observation of the vehicle motions, the evaluation of the transport size and intensity, and the development of new software and management concepts. Due to the length limitations of this paper, several aspects might need further explanation and justifications. However, the implementation of this new approach might be initiated already, even in this limited form. It (i) gives a short description of the urban total transportation system; (ii) uses a hierarchical approach to the total transportation management; (iii) defines the general optimization task and constraints; (iv) introduces the classification of possible sensors and their integration in the vehicles or infrastructure; (v) shows the role of data processing, applying the big data survey and methods of soft computing and artificial intelligence; (vi) describes some models for safe and optimized transport management; (vii) discusses the possible realization of the highly automated total management; and (viii) makes a preliminary simple evaluation of the proposed total transportation management compared to existing systems. Generally, the literature dealing with smart and intelligent transportation is very large. Google gives more than 2.5 billion results when searching \"smart transport\". This large number of papers demonstrates that developing, planning, constructing, organizing, operating, and managing transportation systems are not solved yet on a generally accepted level. The authors of this paper assessed several hundreds of related articles. The relatively large number of citations listed in this paper must be evaluated as a subjective list of papers that inspired the authors. The rest of the paper is organized as follows. Section 2 presents the materials and methods with five sub-sections, beginning with a systematic description of the urban transportation system, and ending with the subsection data processing. The solution to the recommended general optimization problem of the total transport system requires a series of sub-models to be applied.