Real-time Urban Public Traffic Analysis And Visualization Research And Implementation Of Key Technologies

As the increasing of the global community and the rapid development of urbanization, nowadays more and more people choose to give a life in a more developed city. Data shows that there are more than 54% of the population living in urban areas. United Nations predicts that by 2050 there will be more than 70% of the world’s population lived in cities. This situation will cause a huge challenge to public transportation in each urban cities. Entire people’s life and work requirements need to be considered when planning urban construction. So the public transit organization needs to provide a convenient and efficient public transport environment. Also the public transit system needs to ensure that the bus routes cover the universal city, the accuracy of the time that the bus gets to the bus station and the real-time location of the bus. The incident or the road conditions may cause the bus delay, so that the real-time bus condition is particularly important not only to the citizens but also to the city. So putting forward the Intelligent Transport System is extremely urgent. By closely combining the actual situation of the current city public traffic, with the help of advanced science and technology, and combining with the humanized design concept, intelligent transport system constructing a set of sophisticated, complex, large bus network video monitoring management system, provides visual management services to the public traffic operation system, so as to provide convenient services to public transport and provide strong guarantee travel safety.Our system is a subsystem of the project called IRMA which is a research project developed by Director Services Engineering / Robotics Lab of University of Pavia, named MOBANA. This system chooses the Apache Storm and RocketMQ framework to achieve a distributed data stream processing system which is used to process real-time public transport data flow. Using GTFS data as the data processing standard, which can help public transport service provider supplies the latest buses condition in real-time to third-party developers, eventually improving the efficiency of the travels. The system simulates the current state of the public transportation in real-time and shows to the users to predict the public traffic in order to help users to make appropriate travel planning. The system also use dimensional fact model(DFM) to design KPI dashboard. The dashboard shows the analysis of the vehicle delays which can help analyze the traffic condition, in this way, the managers of the city can make a better management of the city traffic. According to the results of the visual real-time display system, local government and the public transport operators can strengthen management through analysis of the bus routes and traffic condition and provide a better service to the users. The system combines the public transport with the mobile Internet, producing intelligent transportation which can become a fresh power to promote the green travel momentum, and has an important practical application value. From the point of the research results of at home and abroad, it has a very wide range of application prospects.