Abstract

The traffic problem is an important problem which has been broadly learnt in Operations Research domain. This paper presents a new Rough Interval Max Algebra Approach (RIMAA) for solving the traffic problem with Rough Interval data. The proposed approach is simple and able to give a suitable solution to this problem. Finally, a descriptive example is given to evaluate performance of the proposed approach.

Highlights

  • Traffic as a part of public transport develops the economy, compacts with the protection of energy and resources, downgrades jamming, affords critical support in danger situations and disasters, growths the progress and usefulness of real estate, grows mobility in small urban and countryside communities, and decreases health costs

  • Max-plus algebra is a mathematical system in which the arithmetic operation of addition is replaced by determining the maximum, and the multiplication operation is replaced by the addition

  • TRAFFIC PROBLEM Traffic problem is the mainly problems in many urban towns round the world

Read more

Summary

INTRODUCTION

Traffic as a part of public transport develops the economy, compacts with the protection of energy and resources, downgrades jamming, affords critical support in danger situations and disasters, growths the progress and usefulness of real estate, grows mobility in small urban and countryside communities, and decreases health costs. All of this donates to a better quality of life. Max-plus algebra is a mathematical system in which the arithmetic operation of addition is replaced by determining the maximum, and the multiplication operation is replaced by the addition This mathematical approach provides an interesting way suitable for modeling discrete event systems (DES) and optimization problems in production and transport. In this paper using arithmetic operations of the Rough Interval and max plus algebra, for the treatment of uncertainty in traffic problems.[9]-[13]

TRAFFIC PROBLEM
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

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.