During rush hours, most major cities experience an increasing amount traffic congestion. So, people who have to use buses to go to work or to go back home have to suffer exacerbated delays during their commutes. Since a significant portion of the urban population uses such mass transit vehicles, it would be really cool if the traffic management differentiates buses and other mass transit vehicles during rush hours since these vehicles typically carry 40-50 people during rush hours to work, school, etc. So, such a solution would benefit a significant portion of the commuters. We have designed such a system solution based on distributed AI, V2X, and Cloud services. We have already demonstrated our solution publicly with 2 Pilot Projects in 2018 and 2019.