An Artificial Intelligence-Based Approach for the Controlled Access Ramp Metering Problem

The ever-increasing demand for transportation of people and goods as well the massive accumulation population in urban centers have increased need appropriate infrastructure system development order to efficiently manage constantly increasing diverse traffic flows. Moreover, given rapid growth evolution Information Communication Technologies (ICT), intelligent management systems that go beyond traditional approaches is now more feasible than ever. Nowadays, highways often sensors installed across their range collect data such speed, density, direction so on. In addition, vehicles with computer on board, provides a very large amount data, ranging from simple features acceleration, etc. complex like driver’s situation driving behavior. However, these alone without any further processing, cannot solve congestion problem. Therefore, computational methods algorithms underpins chance process fast reliable way. purpose this paper present control ramp metering (RM) method based machine learning study its impact selected highway segment.