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Internet of Vehicles Based Approach for Road Safety Applications Using Sensor Technologies

  • Nikheel Soni
  • Reza MalekianEmail author
  • Darius Andriukaitis
  • Dangirutis Navikas
Article
  • 5 Downloads

Abstract

In this paper, the Internet of Vehicles approach is used to develop a novel low cost sensor based system for road safety applications in intelligent transportation systems. It was found that major hazards that compromise road safety include weather related factors, poor road surfaces and presence of sharp turns. A wireless sensor network based solution consisting of embedded systems for the vehicular clients and infrastructure waypoints is developed for detecting road safety hazards and warning users about potentially hazardous events from causes that include presence of speed bumps, sharp turns and weather related factors of rain and fog. Hazards detected by the embedded systems are conveyed to the user by using the Vehicle-to-Vehicle communication and Vehicle-to-infrastructure communication interfaces developed in this study for inter-vehicle communication and obtaining sensory information from infrastructure waypoints respectively. Accuracy achieved was 88% for speed bump detection, 73.86% for detecting sharp turns and 100% for detection of rain and fog. Communication systems in the designed solution are optimized by reducing the size of packet being exchanged which improves transmission speed, packet losses and congestion on the network. Thus, the designed solution is capable of improving road safety by using an Internet of Vehicles approach.

Keywords

Internet of vehicles Vehicle-to-vehicle communications Vehicle-to-infrastructure communications Road safety Intelligent transportation systems 

Notes

Acknowledgements

The subject is supported by and National Research Foundation, South Africa (grant numbers: IFR160118156967 and RDYR160404161474), and partially by the Transport Electronics. Centre at Kaunas University of Technology. The authors would like to thank Mr. Arnav Thakur for his help during revision of this paper and we appreciate his contribution in revising the paper.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of ElectricalElectronic and Computer Engineering, University of PretoriaPretoriaSouth Africa
  2. 2.Department of Computer Science and Media Technology, Internet of Things and People Research CenterMalmö UniversityMalmöSweden
  3. 3.Department of Electronics EngineeringKaunas University of TechnologyKaunasLithuania

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