Hyper Smart Transportation: Big Data, Virtualization, and Systemization
PurchaseThe traffic congestion, safety, pollution and other urbanization challenges Intelligent Transportations Systems (ITS) of the future will need to address are well documented. The ITS industry so far has approached the problems in a rather incremental way through solutions such as traveler information systems such as variable message signs, intelligent traffic signs, urban tolling, traffic monitoring, and management operations centers, and some timid efforts to introduce electrification. These are essentially non-structural solutions, merely fighting symptoms instead of the root causes of the urbanization issues. These plans will no longer be sufficient as the issues are spiraling out of control, especially in developing regions like Asia and Latin America where traffic congestion issues are threatening to limit or at least slow down further economic growth. Moreover, current ITS technologies are too expensive and an investment governments will not be able to maintain in a scalable way.
This reports aims at looking into the future, thinking out of the box, beyond the known tools and methodologies currently developed by ITS ecosystem participants. In particular, this report will be centered on three areas:
•The use of big data and advanced analytics in an ITS context
•Virtualization of physical roadside transportation infrastructure
•A systems approach to transportation management
The report also evaluates which connectivity, analytics, cloud platform, security, and identity technologies will be required for enabling the above mentioned new paradigms. In particular, the potential of DSRC, 4G, 5G, peer-to-peer, meshed, and centralized network topologies are assessed in terms of latency, availability, and economic feasibility.