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Reseach Article

Enhanced OWL-S Semantic Web Services for Traffic Management System Utilizing Internet of Things

by Abdullah H. Bin Sawad, Bassam A. Zafar, Sofiane Ouni
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 38
Year of Publication: 2018
Authors: Abdullah H. Bin Sawad, Bassam A. Zafar, Sofiane Ouni

Abdullah H. Bin Sawad, Bassam A. Zafar, Sofiane Ouni . Enhanced OWL-S Semantic Web Services for Traffic Management System Utilizing Internet of Things. International Journal of Computer Applications. 180, 38 ( May 2018), 8-16. DOI=10.5120/ijca2018917009

@article{ 10.5120/ijca2018917009,
author = { Abdullah H. Bin Sawad, Bassam A. Zafar, Sofiane Ouni },
title = { Enhanced OWL-S Semantic Web Services for Traffic Management System Utilizing Internet of Things },
journal = { International Journal of Computer Applications },
issue_date = { May 2018 },
volume = { 180 },
number = { 38 },
month = { May },
year = { 2018 },
issn = { 0975-8887 },
pages = { 8-16 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2018917009 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T01:02:59.966726+05:30
%A Abdullah H. Bin Sawad
%A Bassam A. Zafar
%A Sofiane Ouni
%T Enhanced OWL-S Semantic Web Services for Traffic Management System Utilizing Internet of Things
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 38
%P 8-16
%D 2018
%I Foundation of Computer Science (FCS), NY, USA

IoT is a distributed physical network could support in various services, such as communications integration, control and information-processing via numerous transportation systems. It is an application extends to all aspects of transportation systems such as the vehicle, the infrastructure, and the driver or user. In this paper, we approach integration of Intelligent Traffic Management Systems and IoT from semantic service viewpoint. We create the architecture system of web services based on OWL-S in IoT environment and describe the composition web service based on IoT. We have extended this web services to real-time extensions that can describe the application related to real-time management of the vehicle traffics. To validate our system, we proposed case study for Ambulance Vehicle. This case of study shows the use of the timing and extended real-time features for web service description and the related process ontology generated for OWL-S technology.

  1. De, S. ; Barnaghi, P. ; Bauer, M. ; Meissner, S., Service modelling for the Internet of Things, Conference on Computer Science and Information Systems (FedCSIS), 2011.
  2. M. A. Aslam, S. Auer, J. Shen, and M. Herrmann, “Expressing Business Process Models as OWL-S Ontologies,” vol. 1.
  3. Hasan Omar Al-Sakran, “Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology”, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 6, No. 2, 2015.
  4. Tesseris George, Baryannis George, “OWL-S: Semantic Markup for Web Services”, Computer Science Department University of Crete,
  5. Pantos, R. and May, W., 2017. HTTP live streaming (No. RFC 8216).
  6. Lai YL, Chou YH, Chang LC. An intelligent IoT emergency vehicle warning system using RFID and WiFi technologies for emergency medical services. Technology and health care. 2017(Preprint):1-3.
  7. Ersue, M; Romascanu, D; Schoenwaelder, J; Sehgal, A (4 July 2014). "Management of Networks with Constrained Devices: Use Cases". IETF Internet Draft < draft-ietf-opsawg-coman-use-cases>. Anca Hangan, Stefan Oniga, Zoltán Gál, “eHealth Solutions in the Context of Internet of Things”, IEEE International Conference on Automation, Quality and Testing, Robotics, 2014.
  8. Vlad Tanasescu, Alessio Gugliotta, John Domingue, Rob Davies, Leticia Gutiérrez-Villarías, Mary Rowlatt, Marc Richardson, and Sandra Stin£i¢. A semantic web services gis based emergency management application. In International Semantic Web Conference, pages 959_966. Springer, 2006.
  9. Vagan Terziyan, Olena Kaykova, and Dmytro Zhovtobryukh. Ubiroad: Semantic middleware for cooperative traffic systems and services. International Journal on Advances in Intelligent Systems Volume 3, Number 3 & 4, 2010.
  10. J Javier Samper Zapater, Dolores M Llidó Escrivá, Francisco R Soriano García, and Juan José Martínez Durá. Semantic web service discovery system for road traffic information services. Expert Systems with Applications, 42(8):3833_3842, 2015.
  11. P. Morignot and F. Nashashibi, "An ontology-based approach to relax traffic regulation for autonomous vehicle assistance," CoRR, vol. abs/1212.0768, 2012.
  12. Carolina Tripp Barba, Miguel Angel Mateos, Pablo Reganas Soto, Ahmad Mohamad Mezher, and Mónica Aguilar Igartua. Smart city for vanets using warning messages, traffic statistics and intelligent traffic lights. In Intelligent Vehicles Symposium (IV), 2012 IEEE, pages 902_907. IEEE, 2012.
  13. Kuang-Ho Chen, Chyi-Ren Dow, Da-Jie Lin, Chen-Wei Yang, and Wei-Chun Chiang. An ntcip-based semantic its middleware for emergency vehicle preemption. In Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on, pages 363_368. IEEE, 2008.
  14. John Davies, Rudi Studer, and Paul Warren. Semantic Web technologies: trends and research in ontology-based systems. John Wiley & Sons, 2006.
  15. Marios D Dikaiakos, Dimitrios Katsaros, Pankaj Mehra, George Pallis, and Athena Vakali. Cloud computing: Distributed internet computing for it and scientific research. IEEE Internet computing, 13(5), 2009.
  16. Jie Ding, Rui Wang, and Xiao Chen. Performance modeling and evaluation of real-time traffic status query for intelligent traffic systems. In Communications (APCC), 2016 22nd Asia-Pacific Conference on, pages 238_242. IEEE, 2016.
  17. Arthur J Dock. Using gps/gis to test emergency vehicle traffic signal preemption. www. skit. cm/p0798. htm, 2007.
  18. G Ferrari, S Busanelli, N Iotti, and Y Kaplan. Cross-network information dissemination in vanets. In ITS Telecommunications (ITST), 2011 11th International Conference on, pages 351_356. IEEE, 2011.
  19. Vinita Jindal and Punam Bedi. Vehicular ad-hoc networks: introduction, standards, routing protocols and challenges. International Journal of Computer Science Issues (IJCSI), 13(2):44, 2016.
  20. KR Jothi and A Ebenezer Jeyakumar. Optimization and quality-of-service protocols in vanets: a review. In Artificial intelligence and evolutionary algorithms in engineering systems, pages 275_284. Springer, 2015.
  21. Saravanan Kannan, Arunkumar Thangavelu, and RameshBabu Kalivaradhan. An intelligent driver assistance system (i-das) for vehicle safety modelling using ontology approach. International Journal of UbiComp, 1(3):15_29, 2010.
  22. Ying Leng and Lingshu Zhao. Novel design of intelligent internet-of-vehicles management system based on cloud-computing and internet-of-things. In Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on, volume 6, pages 3190_3193. IEEE, 2011.
  23. Francisco J Martinez, Chai Keong Toh, Juan-Carlos Cano, Carlos T Calafate, and Pietro Manzoni. A survey and comparative study of simulators for vehicular ad hoc networks (vanets). Wireless Communications and Mobile Computing, 11(7):813_828, 2011.
  24. Makoto Miyawaki, Z Yamashiro, and T Yoshida. Fast emergency pre-emption systems (fast). In Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference on, pages 993_997. IEEE, 1999.
  25. Brijesh Kadri Mohandas, Ramiro Liscano, and Oliver WW Yang. Vehicle traffic congestion management in vehicular ad-hoc networks. In Local Computer Networks, 2009. LCN 2009. IEEE 34th Conference on, pages 655_660. IEEE, 2009.
  26. G Hosein Mohimani, Farid Ashtiani, Adel Javanmard, and Maziyar Hamdi. Mobility modeling, spatial traffic distribution, and probability of connectivity for sparse and dense vehicular ad hoc networks. IEEE Transactions on Vehicular Technology, 58(4):1998_2007, 2009.
  27. Hassnaa Moustafa and Yan Zhang. Vehicular networks: techniques, standards, and applications. Auerbach publications, 2009.I
  28. AA Obiniyi, SK Aina, and MB Hammawa. Trends in ontology of vanet. International Journal of Computer Applications, 118(6), 2015.
  29. Haoyuan Ou, Jianming Zhang, and Yi Wang. Development of intelligent traffic control system based on internet of things and fpga technology in proteus. Traffic, 20:2, 2016.
  30. Qu, C., Liu, F., Tao, M., Deng, D. (2016) An OWL-S based specification model of dynamic entity services for Internet of Things. J Ambient Intell Humaniz Comput 7:73–82K
  31. T Thirumalai and KR Kashwan. Split ring patch antenna for fpga configurable r_d applications. Journal of Next Generation Information Technology, 6(3):47, 2015.AA Obiniyi, SK Aina, and MB Hammawa. Trends in ontology of vanet. International Journal of Computer Applications, 118(6), 2015.
  32. C. Peltz, “Web services orchestration and choreography,” Computer (Long. Beach. Calif)., vol. 36, no. 10, pp. 46–52, 2003.
  33. W. Kooistra, “Simulation of coordinated traffic light control using model predictive control,” no. August, 2012.
  34. IEEE Standard for a software quality metrics methodology. (n.d.). Retrieved January 17, 2018, from
Index Terms

Computer Science
Information Sciences


Traffic Management System Semantic Web Service IoT OWL-S