siliconindia | | July 20199with limited budgets. Scientists at Nanyang Technological University in Singapore have developed a new intelligent routing algorithm that attempts to minimize the occur-rence of spontaneous traffic jams. A team from the Texas Advanced Computing Center (TACC), has demonstrated that AI can help to optimize traffic flow. Their work is on developing searchable traf-fic analyses using deep learning and data mining. The tool uses the raw data generated from traffic cameras, with their algorithm capable of recognizing the various objects in the footage and then characterizing how those objects move and interact. This information can then be queried by traffic planners to better understand the transport network.The system automatically tags each object it encounters in the raw data and then tracks their movements through-out the footage. By comparing outputs from each frame, the algorithm discovers relationships among the objects. The system was tested in two practical use cases. The first saw it count the number of vehicles traveling down a road while the second identified near-misses between vehicles and pedestrians. The results showed that the algorithm was around 95 percent accurate when counting the vehicles.According to a McKinsey report, Artificial Intelli-gence and Machine Learning will be the technological foundation for both ITS and autonomous vehicles. The convergence of Internet of Things in connected cars, au-tonomous vehicles, and sensor-based traffic management systems will become a reality with the launch of 5G. One of the key advantages of 5G is low latency which will help autonomous vehicles to respond in real time to dynamic situations.The lower latency and high throughput of 5G will sup-port connected cars, transportation, and retail logistics that consist of fleets of connected/driverless vehicles transport-ing people and goods. The key network requirements for mission-critical automotive driving are high throughput and low latency up to 100 milliseconds. A journey from A to B in a driverless vehicle could involve vehicle-to-vehi-cle connections, connections between vehicles and street infrastructure for traffic management, and high-speed re-liable connectivity to support cloud applications which will be made possible by 5G. Failure is not an option in these cases.These technological advancements are making possible improved transport. The governments across the globe are also taking initiatives to focus on research of cutting-edge technology related to advanced products such as vehicle ad hoc networks. These major trends are poised to fuel the growth of the global market for intelligent transport systems which according to estimates is likely to cross $30 billion by 2022.
< Page 8 | Page 10 >