Intelligent transport is an indispensable necessity in today's smart cities. Over the years, there has been a sudden increase in the number of vehicles on road. Traffic congestion, is a growing problem everyone faces in their daily life. A model to effectively solve the above mentioned problems by using Internet of things for traffic controlling Systems which also gives priority to emergency vehicles is proposed. Intelligent Transportation Systems, representing core components of smart cities, combine sensing, computing, and wireless communication technologies to provide efficient and convenient mobility. Road Intelligent Transportation Systems (ITS) have been studied in recent decades through simulation platforms that integrate computational models for various use cases, such as traffic lights control and management. However, semantic descriptions, illustrating road ITS as a whole and creating a basis for designing simulation platforms, have not been addressed. In this paper, a semantic model of road Intelligent Transportation Systems is proposed, which describes road ITS components and architecture, serving as a formal basis for road ITS simulation platforms. Building upon the semantic model, an extension of the Industry Foundation Classes schema is provided, facilitating ITS simulation platforms based on building information modeling, is discussed. The paper concludes with a summary, a discussion, and an outlook on potential formalization efforts. 

For last years, the evolution of new issues has incited a great development of the Transportation system. In this paper, we discuss ingredients of ITS (Intelligent Transportation system) that are inter-vehicle communication (IVC) or what can be called vehicular ad hoc networks (VANET), which are special types of MANET. We will survey the main issues relevant to VANET in detail with providing a conceptual model for the overall taxonomy. Also detail applications comparison, characteristics and properties of vanet projects and applications are given. Mobility models are beneficial as to research area, so their main features are discussed. The consortiums relatives of these Systems are introduced. Whole protocol type’s classification with their common using protocols is proposed and analysis for the main relative ones provided. Also some suggestions for routing protocols, data diffusion, mobility models, media access control protocols, and security are discussed. The investigation will try to answer the future relative attributes and limitations.

The importance of the role of Information in the Supply Chain and the Position of Transportation and Logistics as Economic drivers of Countries, has led to the integration of Information and Communication Technology and Transportation and the formation of Intelligent Transportation Systems (ITS). The effectiveness of freight and passenger Transportation Systems depends on the optimization and correlation of ITS with other Systems, including Business Intelligence Systems. The main purpose of this study is to develop a conceptual model to investigate the effect of business intelligence factors on the maturity of this system, which ultimately leads to the effective use of Intelligent Transportation Systems. In order to test the hypotheses, a questionnaire based on literature the subject was designed and distributed among managers and experts of eight government organizations in the country's Transportation sector. The results of analyzing the data collected from the sample size, which is based on the Structural Equation Modeling approach, showed that the studied organizations have a suitable level of maturity to implement an Intelligent business system. Also, the quality of information content and access to it, flexibility, alignment and integration with other Systems positively and significantly affect the success of business intelligence. These results also emphasize the importance of paying attention to technological and organizational business intelligence capabilities.

In Iran, like many other countries the problem of traffic specially the density related issues is quite serious. Those organizations that are involved with the organization of Transportation and traffic have recommended son many projects on the basis of Intelligent Transportation Systems to solve the related problems. But there has not been a comprehensive programme for implementation of Intelligent Systems. Lack of the strategic plans for Intelligent Systems not only causes double and repeated investments in infrastructure of the society but also brings about distortion and non coordination between these Systems and may cause many problems when the subSystems should be connected to each other, thus results other problems for Transportation system of the country.In this paper after literature review the various applications of Intelligent Transportation Systems were studied and then by using the methodology of strategic planning the strategies for Intelligent Transportation Systems of the country have been provided. For provision for strategies the SWOT Matrix (Strengths, weaknesses, opportunities and threats) has been used. In order to prioritize the strategies. The decision making techniques with Analytical Hierarchy Process (AHP) and Quantitative Strategic Planning Matrix (QSPM) were used and the resulted effects were then compared by Spearman ratio.Reviewing the results taken from the written strategies and the present circumstances of the country the following conclusion may be obtained:1- The situation of the country for development of the Intelligent Transportation Systems is generally not appropriate, regarded as medium for external factors, and weak for internal factors2- The development of Intelligent Transportation Systems in the country should be regarded with special emphasis on the safety of Transportation Systems and modes3- As the first priority, the prioritization of using Intelligent Transportation Systems should be considered for accident prone areas, compared to highways and freeways4- In relation to large scale objectives of Transportation Systems as a whole, the following factors should be taken into account respectively: Safety, Public satisfaction, improved environmental conditions, Reduction in energy consumption and mitigation of delay times5- Regarding the development issues, the considerable factors are respectively as follows: Management and organizational policies, Financing, Technical infrastructures, Cultural environment, Manpower and finally Legal issues. The development of Intelligent Transportation Systems should be implemented by such prioritizing6- For the development of Intelligent Transportation Systems the skills and potentials of the private sector should be used and the governmental sectors are only responsible for policy making and provision of substructures for such development7- The required compatibilities and cooperation are not available between the responsible organizations and their situation and place of them is not specified8- The development of Intelligent Transportation Systems requires an organization with comprehensive structure and expertise manpower.

, with the expansion of urbanization, the need for Intelligent Transportation to facilitate the movement of citizens has received more attention than before. Identifying and predicting the use of Transportation modes is one of the most basic prerequisites for setting up and using Intelligent Transportation services. With the advancement of location technologies, agents, and smartphones, a lot of information is generated by many devices using Global Navigation Satellite Systems (GNSS). In this study, 4 Point features and 59 travel features and advanced features were extracted, four classification models GB, XGBoost, LightGBM and CatBoost subset of Boosting method after hybrid feature selecting with 3 classification models CNN, LSTM, and ConvLSTM subset of Deep Learning method Implemented and analyzed to predict Transportation modes including walking, using bicycles, using buses, using cars, and using trains usage the GeoLife dataset. Finally, the LightGBM model predicted Transportation modes with higher accuracy (95.49%) and less time complexity than other models.

The numerous capabilities of smartphones have made them suitable alternative to expensive tools and methods in Intelligent Transportation Systems. This study surveys the literature on the role of the accelerometer of smartphones in Intelligent Transportation applications. At first, the opportunities and challenges of using the accelerometer are stated. Then, the architecture of using this sensor including preprocessing, feature extraction, mode detection, reorientation and applications are explained. Finally, different applications that have used the accelerometer of mobile phones in the Intelligent Transportation Systems have been investigated.

The lack of unified strategy in applying Intelligent Transportation Systems, will lead to inconsistent relation between related organizations and consequently decrease efficiency and productivity. Therefore, due to financial, manpower, equipment and time resources constraints, ITS project prioritization is very imperative issue. Generally, organizations pursue their goals and visions for survival in business markets by choosing appropriate projects and executing them effectively. Therefore, project selection in project-based organizations is a vital and dynamic decision. In this study, first, Transportation problems have been determined and then a survey exploring the experts opinion was conducted. Also, given the impacts of the predefined goals on ITS service providers and their impact on their realization in the city of Isfahan, ITS service providers have been prioritized using CODAS method. This research denotes a threshold function to recognize the equality of two service providers, their Euclidean distances and Taxicab distance. And then the relative assessment matrix has been constructed. According to the results of this study, accident management, accident data management and public transport fleet monitoring have the highest priority. This indicates that taking appropriate action to manage safety and crisis management is a vital decision and needs appropriate planning in our country, Iran.

One of the important issues in Intelligent Transportation Systems is designing and using multi-objective path finding algorithms. Such algorithms are designed to meet user satisfaction and needs through paths provided by the path finding algorithm. The conventional route planning algorithms can’t meet the user’s needs because they usually are in one-objective mode or solved in this mode. In the present study, we developed an algorithm for solving multi-objective route planning problem using a multi-objective ant algorithm in which the user defines objective functions based on her/his own needs. Then the paths are selected and ranked using the multi-objective ant colony algorithm and designed software for this purpose. This algorithm is evaluated under different conditions. The greatest strength of this algorithm is that ants choose path acting entirely in a multi-objective mode.