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As traffic congestion becomes a huge problem for most developing and developed countries across the world, intelligent transportation systems (ITS) are becoming a hot topic that is attracting attention of researchers and the general public alike. In this p ...
This work presents a cooperative yielding maneuver planner that allows automated vehicles circulating inside single-lane roundabouts to create feasible merging gaps for oncoming cars. The maneuver is triggered once its impact on the predicted evolution of ...
When drivers are regularly faced with congestion, they try to optimize their departure time. If the demand and the road network evolve slowly enough, the entire system may approach an equilibrium, i.e. a state such that no one can be better off by unilater ...
Many efforts have been carried out to optimize the traffic signal settings in cities. Nevertheless, state-of-the-art and -practice strategies cannot deal efficiently with oversaturated conditions (i.e. queue spillbacks and partial gridlocks), as they are e ...
Transportation hubs, such as airports and train stations, tend to experience congestion as their recent diversication of services attracts more people and the demand for mobility keeps increasing, while the expansion possibilities of the infrastructure are ...
Traffic congestion is a daunting problem that is affecting the daily lives of billions of people across the world. Recently, a promising new traffic control scheme known as Virtual Traffic Lights (VTL) has been proposed for mitigating traffic congestion. V ...
This paper presents a distributed maneuver planner for connected automated vehicles (CAVs) built upon the idea of CAVs being able to explicitly share their intentions by creating virtual vehicles (Us) on the targeted traffic stream. Specifically, this work ...
Traffic congestion is a significant issue in all urban areas with concentration of activities for various city topologies and distribution of population and land use around the world. Developing realistic models that are able to replicate congestion spread ...
High level of detail renders microscopic traffic models impractical for control purposes and local control schemes cannot coordinate actions over the whole city. Thus, development of efficient modeling and control methods for large-scale urban road network ...
High level of detail renders microscopic traffic models impractical for control purposes and local control schemes cannot coordinate actions over large scale heterogeneously congested urban networks. Developing efficient models and control methods for larg ...