Smart societies require next generation mobility platforms and applications to enable the needed quality and pace of life. This paper proposes a mobile computing system that enables smarter cities with enhanced mobility information through big data technologies, fogs and clouds. The system includes a mobile application, a backend cloud-based big data analysis system, and a middleware platform based on fog computing. The system architecture and its component technologies are described in addition to a mobile application use case. The technologies used in this paper have been used in the literature in the past. However, we have not found any work where all these technologies have been brought together to develop a mobile application that provides uniquely focused information on user mobility. Google Maps notifications could provide information about nearby road closure or other events where relevant. However, we propose to pull in and provide information to the users about their travel locally, nationally, and internationally. More importantly, relevant information is pulled in from multiple news media and other sources and provided to the user in multimedia formats including text, voice and video.