Methodology for Development of Logistics Information and Safety System Using Vehicular Adhoc Networks

  • Kishwer Abdul Khaliq
  • Amir Qayyum
  • Jürgen Pannek
Conference paper
Part of the Lecture Notes in Logistics book series (LNLO)


The Intelligent Transportation System (ITS) addresses issues regarding traffic management and road safety in the domain of Vehicular Ad hoc Networks (VANETs). With the evaluation of new applications, new goals regarding efficiency and security have been added for logistics and general user application, which demand time-bounded and reliable services. In this paper, we evaluate VANET with regard to its suitability in logistics scenarios. We simulated VANET by considering different application scenarios for logistics and transportation using varying parameters such as speed, number of nodes, traffic load and bit error rate etc. We observed that it performs well in most of the scenarios due to its highly suitability in vehicular environment.


VANET Routing protocols IEEE 802.11p Logistics Transportation 


  1. Ahmed-Zaid F, Bai F, Bai S, Basnayake C, Bellur B, Brovold S, Brown G, Caminiti L, Cunningham D, Elzein H et al (2011) Vehicle Safety Communications–Applications (VSC-A) Final Report. Technical ReportGoogle Scholar
  2. Akbar MS, Khaliq KA, Qayyum A (2015) Vehicular MAC Protocol Data Unit (V-MPDU): IEEE 802.11 p MAC protocol extension to support bandwidth hungry applications. In: Vehicular ad-hoc networks for smart cities. Springer, pp 31–39Google Scholar
  3. Akbar MS, Qayyum A, Khaliq KA (2015) Information delivery improvement for safety applications in VANET by minimizing Rayleigh and Rician fading effect. In: Vehicular ad-hoc networks for smart cities. Springer, pp 85–92Google Scholar
  4. Akbar MS, Khan MS, Khaliq KA, Qayyum A, Yousaf M (2014) Evaluation of IEEE 802.11 n for multimedia application in VANET. Procedia Comput Sci 32:953–958CrossRefGoogle Scholar
  5. Amadeo M, Campolo C, Molinaro A (2012) Enhancing IEEE 802.11 p/WAVE to provide infotainment applications in VANETs. Ad hoc networks 10(2):253–269CrossRefGoogle Scholar
  6. Anand N, Van Duin R, Quak H, Tavasszy L (2015) Relevance of city logistics modelling efforts: a review. Transp Rev 35(6):701–719CrossRefGoogle Scholar
  7. I. S. Association et al 802.11 P-2010 IEEE Standard for Information Technologylocal and Metropolitan Area Networks specific Requirements part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 6: Wireless Access in Vehicular Environments.
  8. Christopher M (1998) Logistics and supply chain management: strategies for reducing cost and improving serviceGoogle Scholar
  9. Crainic TG, Feillet D (2015) Introduction to the special issue on city logistics. EURO J Transp Logistics 1–2Google Scholar
  10. Katrin B, Uhlemann E, Store E, Bilstrup U (2008) On the Ability of the 802.11 p MAC Method and STDMA to support real-time vehicle-to-vehicle communication. EURASIP J Wirel Commun Networking 2009Google Scholar
  11. Martelli F, Renda ME, Resta G, Santi P (2012) A Measurement-based study of beaconing performance in IEEE 802.11 p vehicular networks. In: INFOCOM, 2012 Proceedings IEEE. IEEE, pp 1503–1511Google Scholar
  12. Mondragon AEC, Mondragon ESC (2012) Smart grid and wireless vehicular networks for seaport logistics operations. In: 19th ITS world congressGoogle Scholar
  13. Olariu S, Weigle MC (2009) Vehicular networks: from theory to practice. CRC PressGoogle Scholar
  14. Olsson L, Head BW (2015) Urban water governance in times of multiple stressors: an editorial. Ecol Soc 20(1):27CrossRefGoogle Scholar
  15. Perego A, Perotti S, Mangiaracina R (2011) ICT for logistics and freight transportation: a literature review and research agenda. Int J Phys Distrib Logistics Manage 41(5):457–483CrossRefGoogle Scholar
  16. Sands D (2015) An innovative scorecard for evaluating resiliency in our cities. In: Planet@ Risk, vol 3, no 1Google Scholar
  17. Shakeel SM, Ould-Khaoua M, Rehman OMH, Al Maashri A, Bourdoucen H (2015) Experimental evaluation of safety beacons dissemination in VANETs. Procedia Comput Sci 56:618–623CrossRefGoogle Scholar
  18. Tan MII, Razali RN, Desa MI (2012) Factors influencing ICT adoption in Halal transportations: a case study of Malaysian Halal logistics service providers. Int J Comput Sci Issues 9(1):62–71Google Scholar
  19. Taniguchi E (2015) City logistics for sustainable and liveable cities. In: Green logistics and transportation. Springer, pp 49–60Google Scholar
  20. Taniguchi E, Thompson RG (2014) City logistics: mapping the future. CRC PressGoogle Scholar
  21. Taniguchi E, Thompson RG, Yamada T (2013) Concepts and visions for urban transport and logistics relating to human security. In: Urban transportation and logistics: health, safety, and security concerns, p 1Google Scholar
  22. Witkowski J, Kiba-Janiak M (2012) Correlation between city logistics and quality of life as an assumption for referential model. Procedia-Soc Behav Sci 39:568–581CrossRefGoogle Scholar
  23. 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. In: Proceedings of the 1st ACM international workshop on vehicular ad hoc networks. ACM, pp 1–9Google Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Kishwer Abdul Khaliq
    • 1
  • Amir Qayyum
    • 2
  • Jürgen Pannek
    • 1
  1. 1.Department of ProductionUniversity of BremenBremenGermany
  2. 2.CoReNeTCapital University of Science and Technology (CUST)IslamabadPakistan

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