It is known that hardware and software technologies are developing very rapidly, and artificial intelligence systems are also increasing rapidly in the transportation sector with telecommunications. In the new era of Industry 4.0, network technologies are also developing rapidly, creating a new network society. All these developments are also affecting tracking and planning systems. Recent developments in urban informatics, from e-government to m-government applications, show an increase in the effects of public participation on governance topics. The mobilizing strategy has been improved over the past ten years to accommodate new kinds of intelligent strategies in smart societies. In the last decade, examining problematic systems in the urban space has been a main point. In particular, the transportation sector was chosen as the focus of a lot of studies. Future applications that are structured and long-lasting are encouraged by the suggested methods. Therefore, smart city approaches should always consider interdisciplinary qualities. Traffic and road monitoring and planning, as well as cargo and vehicle density in urban areas,create a complicated road transportation issue. Trip computers provide information about vehicles and travel. It is easier to make an instant travel flow plan and update the situation, as this information can interact with other systematic information such as traffic/road conditions. However, the depth of interaction between transportation systems is still unclear and generally consists of a one-directional, limited flow of information. Information gathering and human factor evaluation are the main goals of this encounter. However, there is still uncertainty regarding the rate of interaction and depth of data sharing amongst transportation systems, and there is only a small amount of one-way information flow. This interaction is more focused on obtaining information and (discontinuous) discrete time evaluating it with the human factor. But it is known that vehicles will start to be self-directed (autonomous) in the future, for example unmanned aerial vehicles (UAV).

The technologies that prioritize traffic/road, cargo/vehicle, or ITS interaction, are the focus of the study in the context of smart city logistics. From a relational and all-encompassing perspective, it also evaluates developments in other smart solutions for traffic/road, cargo/vehicle, tracking and/or planning. The independent steps of related information systems can be covered by their structure in terms of complexity and differentiation. The road, cargo, vehicle, and traffic tracking/planning systems, as well as afuturistic advanced theoretical ITS model that has been proposed, need to be more integrated into society. Because the number of vehicles and people on the road is growing.

Human-machine interaction and decision iterations are thought to play a complementary role in inter-system relations. However, in increasingly complex processes, there will also be processes that are left entirely to robot flows. Planning and tracking are becoming increasingly more complex processes. Therefore, it is also necessary to minimize and integrate new concepts into the entire system (ITS) (for example, new protocols in telecommunication). This study also throws light on crucial issues that demand system fusions and advancements with new trends. From Industry 4.0 through 5.0, IoT (Internet of Items) will also support several things in this way. These new technologies are coming in a near future. 5.0 industry can be solved for all these issues, but it will require an increase in new technology’s capacity. The objective of this study is to help a reader to make the distinction and concepts clear.

Especially disaster and humanitarian aid logistics may have difficulties, but these problems can be overcome over time, thanks to the application of early warning systems technologies and advanced problem solutions by relevant technologies and institutions at the micro level. The ITS framework proposed in this study supports all these new generation tracking and planning systems. With Industry 5.0, network latency will also be resolved thanks to the new technologies.

The internet of things that came with the industry 4.0 revolution brings important innovations in Intelligent Transportation Systems (ITS). However, Industry 5.0 will add flexibility and functionality to communication beyond Industry 4.0. Faster communication and system integrations using standard protocols will be provided by Industry 5.0. These advancements are pushing smart systems closer to the forefront by integrating them with humans. These innovations and rapid developments in the field of transportation (wireless communication, satellite communication, sensors, and software) are referred to as Intelligent Transportation. Developments will enable logistics and transportation services to be provided more efficiently and reliably. Since the internet of things architecture allows all physical objects in our lives to stay in communication via the internet, new studies have started to emerge in the field of ITS.

This study will first reveal the basics of Internet of Things architecture. Studies on the general ITS approaches will be reviewed. By explaining the development of the topic and its significance, this article evaluates the fundamental truths about the ITS and produces recommendations. Turkey determined its national strategy for smart transportation systems (STS) (or IUS in Turkish) in 2014. The document, it is aimed to achieve the vision of "a Turkey integrated within itself and with the world, where all transportation services are managed and directed with information and communication technologies". In order to realize the vision, five strategic goals have been set for the period up until 2023, and 22 targets have been established to achieve these goals (Ulaştırma, Denizcilik ve Haberleşme Bakanlığı, Ulusal Akıllı Ulaşım Sistemleri Strateji Belgesi, 2014-2023 ve Eki Eylem Planı, 2014-2016). It covers many details about the paths to be followed with the proposed ITS framework approach in this study. The system densities and complexity levels, as well as all of the components that are connected to it, will increase excessively as the amount of data processed per unit of time increases. In today’s times of crisis, we are witnessing the breaking of supply chains.

Therefore, individual logistics operations are replaced by intelligent logistics approaches, which are rapidly made safer. Advanced artificial intelligence is making itself felt more and more in all areas. Railway and maritime transport, low-emission vehicles, and alternative green fuels stand out. It is clearly understood that similar approaches should gain importance in the highways and urban logistics area as well. Everything is once again impacted by this transformation, particularly the logistics industry. I’m hoping that the issue will be under control and that any potential harm will be avoided.