This project focuses on simulating the traffic at an intersection using agent-based planning and behavioral methods. The motivation is to simulate this traffic in a way that’s noisy, believable, and high level of detail. The main approach is based on the idea of a control obstacle and a greedy sampling method to navigate the robots. Other behaviors are generated using constraints and finite sta...

Electronic traffic signal has the advantage of being easily visible to machines. It is expected to augment the traditional traffic light system in future intelligent transportation environments, where intelligent vehicles interact with each other and with traffic systems and give informed advisories to drivers. One problem with wireless signals is that they are essentially omnidirectional. Even...

This article proposes a Hybrid Autonomous Intersection Management protocol (H-AIM), which is a variant of the formerly presented Autonomous Intersection Management protocol (AIM). Similar to AIM, H-AIM coordinates the right of way for connected and autonomous vehicles through an intersection in a way that is far more efficient compered to traditional traffic signals. Unlike AIM, H-AIM is shown ...

Keeping the density of traffic flow and air pollution in an acceptable level and developing a good capacity for transit in the high priority areas of the city, is really a big deal in large and crowded cities. To address this problem, a new method of intersection signal optimization is presented in this paper. Based on network fundamental diagrams, an Internal–External Traffic Metering Strategy...

ITE JOURNAL / JUNE 2000 ARTERIAL CAPACITY PROBLEMS The function of an arterial is efficient movement of large traffic volumes over a significant distance.1 As arterial traffic volumes approach roadway capacity, delays grow rapidly at signalized intersections with significant cross-street volumes, diminishing the ability of the arterials to help traffic move effectively. Under conventional arter...

Vehicular traffic is continuously increasing around the world, especially in large urban areas. The resulting congestion has become a major concern to transportation specialists and decision makers. The existing methods for traffic management, surveillance and control are not adequately efficient in terms of performance, cost, maintenance, and support. In this paper, the design of a system that...

nowadays, the use of intelligent control systems to reduce human error is one of the most popularresearch fields. design and implementation of such controllers requires to actual knowledge of theenvironment conditions. traffic lights as one of the inputs of intelligent control systems are significant.usually the traffic lights have the various physical structure. also, generally in image proces...

Signalized intersections on high-volume arterials are often congested during peak hours, causing a decrease in through movement efficiency on the arterial. Much of the vehicle delay incurred at conventional intersections is caused by high left-turn demand. Unconventional intersection designs attempt to reduce intersection delay and travel time by rerouting left-turns away from the main intersec...

Fuzzy logic has been widely used to develop an adaptive traffic signal controller because it allows qualitative modelling of complex systems. However, existing research has developed Fuzzy Logic Traffic Signal Controller (FLTSC) based on non-mixed traffic conditions. These FLTSC are not appropriate to the mixed traffic conditions of developing countries where the traffic streams consist of diff...

Abstract—this paper develops a real-time traffic signal timing model which is to be integrated into a single intersection for urban road, thereby solving the problem of traffic congestion. We analyze the current situation of the traffic flow with release matrix firstly, and then put forward the basic models to minimize total delay time of vehicles at the intersection. The optimal real-time sign...