## 2 Literature Review  
It is interesting to note the recent efforts to improve mobility and transportation efficiency. Urban mobility is a very important element to achieve economic and social development; urban mobility and sustainable transportation can be seen as the core of acity since its importance; mobility plays an important position among the indicators of a smart city, it contributes to economic growth and to improve the people life quality [16]. The vehicles of a city have become an important source of information [17] and a means to transport data [18]. The use of Open Government Data and public bus transportation data from citizens smartphones to improve urban mobility in [19]. A mobility monitoring system designed to track people and vehicles employed for traffic forecasting and the optimization of traffic flows in [20]. The identification of spatiotemporal commuting patterns through data mining methods in [21], the generated knowledge is pretended to be used to improve mobility: reduce car dependency, shorten excess commute, and alleviate traffic congestion. A policy transfer framework to transfer sustainable urban mobility policies from a developed to a developing institution in [22]. Through simulation modeling can be constructed a model representing the real world (or scenarios not yet constructed); the implications of urban computing in sustainable smart cities in [23], in which were presented cases that use urban computing for smart urbanization, one important case is transportation. Proposal solutions to achieve an efficient transportation network are presented in [24], which are sharing space, the development of cycle routes and public transportation networks, separating transport modes, eliminating the need to travel, reducing distances, policy changes, and technological novelties. A decision support tool to help cities in transportation planning and policymakers in the implementation of transport policies is introduced in [25] since the use of transport policies impacts on the economy, the environment, and society. Mobility patterns are changing fast and the typical patterns of home-work-home (identified and forecasted for planning the transport system) are not always valid, thus the challenges that mobility and Mobility-as-a-Service (MaaS) are experiencing are presented in [26]. The relation between public polices for reducing urban traffic congestion and road accidents is investigated in [27], it was found that by promoting certain modes of public transport and by regulating parking spaces sustainable mobility was improved (reducing travel times and the probability of accidents).  
Another way to improve traffic conditions is by combining the use of private cars and other modes or sharing private cars. The fast growth of urbanization is posing a problem to transportation services, in [28] with a MaaS platform and a journal planner are offered trip options that integrate different modes: private cars, public transport, bike-sharing, car-sharing, and ride-hailing. The benefits that can be acquired from carpooling are presented in [29], for three university campus networks and through microscopic simulation were studied the benefits of carpooling (up to three persons in the same vehicle) from the residential areas to the university campus, the improvements were the reduction of pollutant emissions, the increment of average speed and the reduction of travel time. Evidence that (in Bangokok) ride sharing will gain acceptance if private cars have to pay for congestion charges and parking fees was presented in [30]. The relationship between the built environment and car ownership and use was investigated in [31]. Denser residential density, compact land use, better transit services, and street connectivity can reduce the need for a car.