Abstract

An efficient and intelligent road traffic management system is the corner stone for every smart cities. Vehicular Ad-hoc NETworks (VANETs) applies the principles of mobile ad hoc networks in a wireless network for Vehicle-to-vehicle data exchange communication. VANETs supports in providing an efficient Intelligent Transportation System (ITS) for smart cities. Road traffic congestion is a most common problem faced by many of the metropolitan cities all over the world. Traffic on the road networks are widely increasing at a larger rate and the current traffic management systems is unable to tackle this impediment. In this paper, we propose an Efficient Intelligent Traffic Light Control and Deviation (EITLCD) system, which is based on multi-agent system. This proposed system overcomes the difficulties of the existing traffic management systems and avoids the traffic congestion problem compare to the prior scenario. The proposed system is composed of two systems: Traffic Light Controller (TLC) system and Traffic Light Deviation (TLD) system. The TLC system uses three agents to supervise and control the traffic parameters. TLD system deviate the vehicles before entering into congested road. Traffic and travel related information from several sensors are collected through a VANET environment to be processed by the proposed technique. The proposed structure comprises of TLC system and makes use of vehicle measurement, which is feed as input to the TLD system in a wireless network. For route pattern identification, any traditional city map can be converted to planar graph using Euler’s path approach. The proposed system is validated using Nagel–Schreckenberg model and the performance of the proposed system is proved to be better than the existing systems in terms of its time, cost, expense, maintenance and performance.

Highlights

  • Intelligent Transportation Systems (ITS) is evolving at a high speed rate across various cities in the world

  • The traffic data will be manipulated by the data processor and the input will be give to intelligent Traffic Light Controller (TLC) system

  • Intelligent TLC and Traffic Light Deviation (TLD) Systems will prevent the congestion problems and assist the system in route deviation. This proposed scheme will be appropriate for few geographical areas. This model can be used mostly on the outside of the city or an area with high traffic issues to stay away from the traffic congestion in prior the vehicles enters into the traffic area

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Summary

Introduction

Intelligent Transportation Systems (ITS) is evolving at a high speed rate across various cities in the world It enhances safety, efficiency and convenience of the road traffic system by means of advanced technologies; this minimizes the cost and provides a secured transport infrastructure. Though various solutions are proposed for traffic management, most of the issues are yet to be solved These sorts of problems are quite common happening in undisciplined traffic and in most of the metropolitan cities. To control the traffic and to avoid the congestion in urban undisciplined traffic, we propose an efficient framework in this paper This will resolve the issues in any metropolitan city. The main contributions of this paper are: (1) intelligent TLC System to control the heavy traffic flow in metropolitan cities, (2) intelligent TDS to deviate the traffic to avoid congestion, (3) valuable traffic parameters to control traffic management system

Related works
Proposed system
Sensors
Data collector agent
Data processor agent
Intelligent TLC
Intelligent traffic deviation system
Vehicle detection and counting
Vehicle categorization
Compute vehicle length depending on speed rate
Light control system and measurement of vehicle
Traffic deviation system
Results and discussion
Conversion of map to graph
Validation
Conclusions

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