Abstract

The permanent growth of the population in smart cities has increased the number of vehicles. Consequently the problem of traffic congestion has become one of the main problems to be solved by today's traffic control systems, especially at traffic intersections. In fact, the traditional method which avoids the congestion in a crossroads is the classic command (Timing) by means of traffic lights. However, the traffic light management modes are sometimes based on classic models which make them unsuitable for the treatment of different experienced situations in traffic (either dense or fluid traffic). Fortunately, thanks to the significant progress made, especially the use of New Information Technologies and Communications for example Wireless Sensor Network, for the regulation of traffic, are solutions become central in the field of urban traffic management. They have made it possible to propose more effective control mechanisms to reduce the effects of traffic congestion. In this article, we will present the continuation of our work [1], the objective is to offer to the users of the road a crossing time as long as possible, while preventing the car cap to propagate over a distance that is set between two wireless sensors, to do this, we can act on the setting of the traffic light to regulate traffic in intersections.

Highlights

  • In the big cities, the importance of vehicle use in everyday mobility has become indispensable for their movement and comfort

  • Wireless sensors can respond to queue saturation by communicating traffic status to the controller who makes decisions based on these algorithms

  • The aim is to give road users the longest possible crossing time, while preventing traffic jams to propagate over a distance that is fixed between two wireless sensors C1 and C2, to do this, we have to act on the regulation of the lights to regulate the traffic in intersections

Read more

Summary

Introduction

The importance of vehicle use in everyday mobility has become indispensable for their movement and comfort. We can see a dramatic increase in the time lost in congestions, and the number of accidents, pollution [2] These solutions can contribute to improve traffic conditions but all of them require adequate traffic regulations, especially at intersections. The detection and data processing modules in a computerized traffic management system become capable of providing reliable and accurate real-time knowledge of traffic status. Wireless sensors can react in case of saturation of the queue, by communicating, traffic status to the controller who makes decisions according to these algorithms and by adjusting the traffic lights. This is the case with an adaptive system [5]

Objectives
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call