Skip to main content

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 177))

  • 3077 Accesses

Abstract

Traffic Synchronization mechanisms aim at minimizing traffic bottle necks, controlling traffic flow, by means of dynamic adjustments in Traffic Signal timings. This paper presents a two level synchronization approach, Local Synchronization and Global Synchronization for synchronizing the traffic flow. Focusing upon determining the traffic light timings based not only upon the current lane densities perform the local synchronization which itself is standalone, and also the determination of the green time of the traffic signals based on the densities of the peer junctions at various levels, along with a set of parameters associated with these to provide Global Synchronization, easing out the traffic flow from the heavier density areas to the lower density zones. Hence, implementing two level intelligence platforms, the system serves as a reliable standalone traffic control system control even if either one of the intelligence platform goes down.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sehgal, V.K., Dhope, S., Goel, P., Chaudhry, J.S., Sood, P.: An Embedded Platform for Intelligent Traffic Control. IEEE (2010)

    Google Scholar 

  2. Image Processing Algorithms for detecting and counting vehicles waiting at a traffic light. J. Electron Imaging 19, 043025 (December 21, 2010), http://dx.doi.org/10.1117/1.3528465

  3. Sreevatsan, A.: Intelligent traffic signals on Anna Salai prove ineffective. The Hindu (June 25, 2011), http://www.thehindu.com/news/cities/Chennai/article2132620.ece

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Sankara Nayaki .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sankara Nayaki, K., Nithin Krishnan, N.U., Joby, V., Sreelakshmi, R. (2013). Traffic Light Synchronization. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31552-7_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31552-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31551-0

  • Online ISBN: 978-3-642-31552-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics