Skip to main content
Log in

Road Oriented Traffic Information System for Vehicular Ad hoc Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Over the last few years, vehicular ad hoc networks (VANETs) have gained popularity for their interesting applications. To make efficient routing decisions, VANET routing protocols require road traffic density information for which they use density estimation schemes. This paper presents a distributed mechanism for road vehicular density estimation that considers multiple road factors, such as road length and junctions. Extensive simulations are carried out to analyze the effectiveness of the proposed technique. Simulation results suggested that, the proposed technique is more accurate compared to the existing technique. Moreover, it facilitate VANET routing protocols to increase packet delivery ratio and reduce end-to-end delay.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Car-to-Car Communication Consortium. (2012). http://www.car-to-car.org. Accessed March 2012.

  2. Yin, J., ElBatt, T., Yeung, G., Ryu, B., Habermas, S., Krishnan H., & Talty, T. (2004). Performance evaluation of safety applications over DSRC vehicular ad hoc networks. ACM VANET (pp. 1–9), October 2004.

  3. Zimmer, M. T. (2005). Personal information and the design of vehicle safety communication technologies: An application of privacy as contextual integrity. In AAAS Science and Technology in Society.

  4. US Department of Transportation: Intelligent transportation system. http://www.its.dot.gov. Accessed March 2012.

  5. Li, F., & Wang, Y. (2007). Routing in vehicular ad Hoc networks: A survey. IEEE Vehicular Technology Magazine, 2(2), 12–22.

    Article  Google Scholar 

  6. White, J. (2012). Identify intelligent vehicle safety applications enabled. Vehicle safety communications consortium. http://www.epic.org/privacy/location/jwhitelocationprivacy.pdf. Accessed March 2012.

  7. Kargl, F. (2006). Vehicular communications and VANETs. Germany: Talks Chaos Communication Congress.

    Google Scholar 

  8. Khan, A. R., Madani, S. A., Hayat, K., & Khan, S. U. (2012). Clustering-based power-controlled routing for mobile wireless sensor networks. International Journal of Communication Systems, 4(25), 529–542.

    Article  Google Scholar 

  9. Mo, Z., Zhu, H., Makki, K., & Pissinou, N. (2006). MURU: A multi-hop routing protocol for urban vehicular ad hoc networks. In Mobile and ubiquitous systems: Networking and services (pp. 1–8).

  10. Lim, K. W., & Ko, Y. B. (2010). Multi-hop data harvesting in vehicular sensor networks. IET Communications, 4, 768.

    Article  Google Scholar 

  11. Jerbi, M., Senouci, S. M., Rasheed, T., & Ghamri-Doudane, Y. (2007). AniImproved vehicular ad hoc routing protocol for city environments. IEEE International Conference on Communications (pp. 3972–3979), June 2007.

  12. Bilal, S. M., Madani, S. A., & Khan, I. A. (2011). Enhanced junction selection mechanism for routing protocol in VANETs. International Arab Journal of Information Technology, 8(4), 422–429.

    Google Scholar 

  13. Lee, J., Lo, C., Tang, S., Horng, M., & Kuo, Y. (2011). A hybrid traffic geographic routing with cooperative traffic information collection scheme in VANET. In International Conference on Advanced Communication Technology (pp. 1496–1501).

  14. Ziliaskopoulos, A. K., & Zhang, J. (2003). A zero public infrastructure vehicle based traffic information system. Transportation Research Board Meeting, Washington, July 2003.

  15. Jerbi, M., Senouci, S. M., Meraihi, R., & Doudane, Y. G. (2007). An infrastructure-free traffic information system for vehicular networks. In IEEE Vehicular Technology Conference (pp. 2086–2090), October 2007.

  16. Wischhof, L., Ebner, A., Rohling, H., Lott, M., & Halmann R. (2003). SOTIS—A self-organizing traffic information system. In IEEE Vehicular Technology Conference, April 2003.

  17. Nadeem, T., Dashtinezhad, S., Liao, C., & Iftode, L. (2004). TrafficView: Traffic data dissemination using car-to-car communication. In ACM Mobile Computing and Communications Review (pp. 6–19), July 2004.

  18. Tyagi, V., Kalyanaraman, S., & Krishnapuram, R. (2012). Vehicular traffic density state estimation based on cumulative road acoustics. IEEE Transactions on Intelligent Transportation Systems, 13(3), 1156–1166.

    Article  Google Scholar 

  19. Sen, R., Cross, A., Vashistha, A., Padmanabhan, V. N., Cutrell, E., & Thies, W. (2013). Accurate speed and density measurement for road traffic in India. In Third ACM Symposium on Computing for Development.

  20. Bilal, S. M., Saeed, U., & Mustafa, S. (2011). Impact of directional density on GyTAR routing protocol for VANETs in city environments. In International IEEE Multitopic Conference (pp. 296–300), December 2011.

  21. Venkata, M. D., Pai, M. M. M., Pai, R. M., & Mouzna, J. (2011). Traffic monitoring and routing in VANETs—A cluster based approach. In International Conference on ITS Telecommunications (pp. 27–32), August 2011.

  22. Zhao, J., & Cao, G. (2006). VADD: Vehicle-assisted data delivery in vehicular ad hoc networks. In IEEE INFOCOM (pp. 1–12).

  23. Chou, L. D. (2010). Intersection-based routing protocol for VANET. In International Conference on Ubiquitous and Future Networks (pp. 268–272), June 2010.

  24. Bajaj, L., Takai, M., Ahuja, R., Tang, K., Bagrodia, R., & Gerla, M. (1997). GlomoSim: A scalable network simulator environment. Technical, Report, #990027, UCLA.

  25. Filali, F., Bonnet, C., & Fiore, M. (2006). Vanet-mobisim: Generating realistic mobility patterns for VANETs. In Workshop on vehicular ad hoc networks, (pp. 96–97).

  26. Choffnes, D. R., & Bustamante, F. (2005). An integrated mobility and traffic model for vehicular wireless networks. In Second ACM International Workshop on Vehicular Ad Hoc Networks (pp. 69–78).

  27. Bai, F., Sadagopan, N., & Helmy, A. (2003). The important framework for analyzing the impact of mobility on performance of routing for ad hoc net-works. Ad Hoc Networks Journal Elsevier Science, 1(4), 383–403.

    Article  Google Scholar 

  28. Harri, J., Filali, F., & Bonnet, C. (2006). Mobility models for vehicular ad hoc networks: A survey and taxonomy. Technical Report RR-06-168, Institute Eurecom, March 2006.

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Atta ur Rehman Khan or Babar Nazir.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bilal, S.M., Khan, A.R., Khan, S.U. et al. Road Oriented Traffic Information System for Vehicular Ad hoc Networks. Wireless Pers Commun 77, 2497–2515 (2014). https://doi.org/10.1007/s11277-014-1651-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-014-1651-0

Keywords

Navigation