Number 38

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]  Toshihiro Yoshida,et al.  Fast emergency pre-emption systems (FAST) , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).

[2]  Jerry R. Hobbs,et al.  DAML-S: Semantic Markup for Web Services , 2001, SWWS.

[3]  C. Peltz,et al.  Web Services Orchestration and Choreography , 2003, Computer.

[4]  John Domingue,et al.  A Semantic Web Services GIS Based Emergency Management Application , 2006, SEMWEB.

[5]  Sören Auer,et al.  Expressing Business Process Models as OWL-S Ontologies , 2006, Business Process Management Workshops.

[6]  R. Studer,et al.  Semantic Web Technologies: Trends and Research in Ontology-based Systems , 2006 .

[7]  Chen-Wei Yang,et al.  An NTCIP-based Semantic ITS Middleware for Emergency Vehicle Preemption , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

[8]  Yan Zhang,et al.  Vehicular Networks: Techniques, Standards, and Applications , 2009 .

[9]  Marios D. Dikaiakos,et al.  Cloud Computing: Distributed Internet Computing for IT and Scientific Research , 2009, IEEE Internet Computing.

[10]  Oliver W. W. Yang,et al.  Vehicle traffic congestion management in vehicular ad-hoc networks , 2009, 2009 IEEE 34th Conference on Local Computer Networks.

[11]  Adel Javanmard,et al.  Mobility Modeling, Spatial Traffic Distribution, and Probability of Connectivity for Sparse and Dense Vehicular Ad Hoc Networks , 2009, IEEE Transactions on Vehicular Technology.

[12]  Arunkumar Thangavelu,et al.  An Intelligent Driver Assistance System (I-DAS) for Vehicle Safety Modelling using Ontology Approach , 2010 .

[13]  V. Terziyan.  UbiRoad: Semantic Middleware for Cooperative Traffic Systems and Services , 2011 .

[14]  Ying Leng,et al.  Novel design of intelligent internet-of-vehicles management system based on cloud-computing and Internet-of-Things , 2011, Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology.

[15]  Juan-Carlos Cano,et al.  A survey and comparative study of simulators for vehicular ad hoc networks (VANETs) , 2011, Wirel. Commun. Mob. Comput..

[16]  S. Busanelli,et al.  Cross-network information dissemination in VANETs , 2011, 2011 11th International Conference on ITS Telecommunications.

[17]  Martin Bauer,et al.  Proceedings of the Federated Conference on Computer Science and Information Systems pp. 949–955 ISBN 978-83-60810-22-4 Service Modelling for the Internet of Things , 2022 .

[18]  Fawzi Nashashibi,et al.  An ontology-based approach to relax traffic regulation for autonomous vehicle assistance , 2012, ArXiv.

[19]  Mónica Aguilar-Igartua,et al.  Smart city for VANETs using warning messages, traffic statistics and intelligent traffic lights , 2012, 2012 IEEE Intelligent Vehicles Symposium.

[20]  Zoltan Gal,et al.  eHealth solutions in the context of Internet of Things , 2014, 2014 IEEE International Conference on Automation, Quality and Testing, Robotics.

[21]  Jürgen Schönwälder,et al.  Management of Networks with Constrained Devices: Use Cases , 2015, RFC.

[22]  José Javier Samper Zapater,et al.  Semantic web service discovery system for road traffic information services , 2015, Expert Syst. Appl..

[23]  A. Ebenezer Jeyakumar,et al.  Optimization and Quality-of-Service Protocols in VANETs: A Review , 2015 .

[24]  A. A. Obiniyi,et al.  Trends in Ontology of VANET , 2015 .

[25]  Hasan Omar Al-Sakran,et al.  Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology , 2015 .

[26]  Punam Bedi,et al.  Vehicular Ad-Hoc Networks: Introduction, Standards, Routing Protocols and Challenges , 2016 .

[27]  Fagui Liu,et al.  An OWL-S based specification model of dynamic entity services for Internet of Things , 2016, J. Ambient Intell. Humaniz. Comput..

[28]  Wang Yi,et al.  Development of Intelligent Traffic Control System based on Internet of Things and FPGA Technology in PROTEUS , 2016 .

[29]  Jie Ding,et al.  Performance modeling and evaluation of real-time traffic status query for intelligent traffic systems , 2016, 2016 22nd Asia-Pacific Conference on Communications (APCC).

[30]  William May,et al.  HTTP Live Streaming , 2017, RFC.

[31]  Y. Lai,et al.  An intelligent IoT emergency vehicle warning system using RFID and Wi-Fi technologies for emergency medical services. , 2017, Technology and health care : official journal of the European Society for Engineering and Medicine.