۱٫ Introduction

۲٫ Traffic modeling and simulation

۳٫ Related work

۴٫ Study methodology and simulation

۵٫ Results and analysis

۶٫ Conclusion

References

The increase of traffic is one of today’s problems. Numerous cities are affected by traffic congestion and the increase of emissions from fuel use. They have a negative impact on economy, environment and overall on the quality of life. It is necessary to find intelligent solutions for road traffic management. The interest for intelligent traffic systems appeared at the beginning of the 20th century. There are various methods available for traffic management such as inductive loop detection, infrared sensors, video data analysis etc. The purpose of this paper is to present an approach of optimization tool using in order to decrease the traffic congestion and the crossing time of a road network.

Introduction

“Intelligent Transportation Systems, or ITS, can be defined as the application of computing, information, and communications technologies to the real-time management of vehicles and networks involving the movement of people, goods, and services ” ( Samadi, S., Rad, A.P., Kazemi, F.M., & Jafarian, H., 2012). In order to understand the transportation system and the need to model traffic flow, we must first understand the causes of mobility and how it is achieved. People’s daily activities generate the need for people and goods to move between different locations. “The transportation system provides the infrastructures and means, ensuring that both persons and freight will be at the right location at the right time to perform the activities that will result in products and services when they are required by the market ” ( Barceló, J., 2010).