Add to ORKGSignal-based intersection management will change when vehicles with intelligent capability are available in the future. Intelligent agents embedded in vehicle software will be responsible for vehicle control and route guidance. Intersection management can be achieved through the collaboration of these agents, without a centralized control infrastructure. This research focuses on the use of distributed multi-agent systems to provide microscopic adaptive control which might reduce traffic delay and chances of collisions at intersections. A hypothesized Mobile Ad-hoc Network provides communication links to connect the agents.ITS Institut
Abstract—Controlling the vehicle traffic in large networks remains an important challenge in urban e...
Adaptive traffic control systems aim to smooth traffic flows, increase throughput, and reduce delays...
Traffic control and management systems FIPA and dynamic changing nature (Jennings et al., 1998). Our...
Advances in autonomous vehicles and intelligent transportation systems indicate a rapidly approachin...
Traffic congestion is one of the leading causes of lost productivity and decreased standard of livin...
In this paper, we propose a traffic management system with agents acting on behalf autonomous vehicl...
Abstract:- For a intelligent traffic system (used for controlling traffic lights at intersections) t...
Recently there has been increased research interest in developing adaptive control systems for auton...
The objective of this thesis is to create a distributed, multi-agent, approach to traffic control. T...
Development of in-vehicle computer and sensing technology, along with short-range vehicle-to-vehicle...
Traffic congestion has always been a serious problem in metropolitan areas. Fortunately, the emergen...
In this paper, we propose a novel decentralised agent-based mechanism for road intersection manageme...
Autonomous Intersection Management (AIM) is a reservation-based intersection control protocol that l...
In this paper we propose the application of intelligent agents in traffic-lights, for the road contr...
Traffic congestion is one of the leading causes of lost productivity and decreased standard of livin...
Abstract—Controlling the vehicle traffic in large networks remains an important challenge in urban e...
Adaptive traffic control systems aim to smooth traffic flows, increase throughput, and reduce delays...
Traffic control and management systems FIPA and dynamic changing nature (Jennings et al., 1998). Our...
Advances in autonomous vehicles and intelligent transportation systems indicate a rapidly approachin...
Traffic congestion is one of the leading causes of lost productivity and decreased standard of livin...
In this paper, we propose a traffic management system with agents acting on behalf autonomous vehicl...
Abstract:- For a intelligent traffic system (used for controlling traffic lights at intersections) t...
Recently there has been increased research interest in developing adaptive control systems for auton...
The objective of this thesis is to create a distributed, multi-agent, approach to traffic control. T...
Development of in-vehicle computer and sensing technology, along with short-range vehicle-to-vehicle...
Traffic congestion has always been a serious problem in metropolitan areas. Fortunately, the emergen...
In this paper, we propose a novel decentralised agent-based mechanism for road intersection manageme...
Autonomous Intersection Management (AIM) is a reservation-based intersection control protocol that l...
In this paper we propose the application of intelligent agents in traffic-lights, for the road contr...
Traffic congestion is one of the leading causes of lost productivity and decreased standard of livin...
Abstract—Controlling the vehicle traffic in large networks remains an important challenge in urban e...
Adaptive traffic control systems aim to smooth traffic flows, increase throughput, and reduce delays...
Traffic control and management systems FIPA and dynamic changing nature (Jennings et al., 1998). Our...