… We are already seeing a range of smaller vehicles … Applications of such new vehicle systems
have great potential to impact not only on safety, but also on a range of traffic management …

… Moreover, the research reveals that deep learning is a crucial technology in developing
autonomous vehicles. Autonomous vehicles can optimize traffic management by reducing …

… traffic surveillance data currently employed, and the types of traffic management applications
they may support. … Automated Vehicle Identification data have several applications in traffic …

… this study investigates the mixed traffic scenario where both human-driven vehicles or CVs/…
traffic on managed lanes may negatively impact the CAV traffic performance, the mixed traffic …

… individual driver–vehicle unit in … vehicles in relation to the infrastructure and other vehicles
in the flow. On the contrary, macroscopic characteristics pertain to the properties of the traffic …

… on traffic management system to minimize traffic congestion and its negative effects. Traffic
management systems … manner (eg among vehicles) or into a traffic management center (TMC) …

… vehicle (CV) technologies promise transformative changes in Active Traffic Management (…
and have the potential to support Integrated Corridor Management (ICM). The goal of this …

… urban traffic management system considered in our work, the functionality of the traffic
management center, distance measurement techniques and a distance-based emergency vehicle …

… actuators forming an in-vehicle network, typically connected through … traffic management
and road congestion detection and prediction. In addition, in the SMaRTCaR platform, vehicles …

… traffic situations. This paper describes the AUTOPIA approach toward an intelligent traffic
management … A fuzzy-based control algorithm that takes into account each vehicle’s safe and …