Two new synchronization strategies are developed for signalized grids of two-directional streets. Both found to reduce congestion significantly more than do other approaches. One the is static and adaptive. use a common timing pattern all signals on grid but different offset each. The strategy serves morning rush by providing perfect forward progression streets in directions that point toward r...

Because of the population increasing so high, and traffic density remaining same, prediction has become a great challenge today. Creating higher degree communication in automobiles results time wastage, fuel environmental damage, even death caused by citizens being trapped middle traffic. Only few researchers work congestion control systems, but it may provide less accuracy. So, this paper prop...

This study introduces a methodology for cooperative signal timing and trajectory optimization at intersections with mix of connected automated vehicles (CAVs) human-driven (HVs). We represent joint control as mixed-integer non-linear program, which is computationally complex. The developed provides balance between computational efficiency solution quality by (a) linearizing the nonlinear constr...

In the modern world, extremely rapid growth of traffic demand has become a major problem for urban development. Continuous optimization signal control systems is an important way to relieve pressure in cities. recent years, with impressive development deep reinforcement learning (DRL), some DRL approaches have started be applied control. Unlike traditional methods, agents trained using continuo...

The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide] efficient traffic regulation. Therefore, dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This study devised a multi-agent architecture, the Adaptive and Cooperative Traffic light Agent Model (ACTAM), for...

Traffic Management involves planning, designing, integration of traffic signal system to achieve efficiency, safety, reliability. Designing of signal system which will provide real time feedback of traffic conditions for dynamic functionality to control traffic signals to optimize traffic management. In this paper, I have used Infrared Transceivers (sensors) for collecting real time data and Mi...

Occurrences of traffic congestions within the urban traffic network are increasing in a rapid rate due to the rising traffic demands of the outnumbered vehicles on road. The effectiveness of management from traffic signal timing planner is the key solution to solve the traffic congestions, but unfortunately the current traffic light signal system is not fully optimized based on the dynamic traf...

The aim of this work is to develop a flexible traffic model based on the recent development of traffic theory and apply the developed model to simulate traffic and signal control in order to identify the optimal signal control policy in several traffic scenarios. The paper starts with a review of the cell transmission model, a widely used model in traffic theory. Several impracticalities of the...