Abstract

Information communication technology related vehicle services need to support location and the transmission of communication and traffic information between vehicles, or between vehicles and infrastructure. In particular, the technology for the measurement of the accurate location of a vehicle is dependent on location-determination technology like Global Positioning System, and this technology is very important for vehicle driving and location services. If, however, a vehicle is in a Global Positioning System radio-shadow area, neither a Global Positioning System nor a Differential Global Positioning System can accurately measure the corresponding location because of a high error rate caused by the shadowing intervention. Even an Inertial Measurement Unit could provide inaccurate location data due to sensor drift faults around corners and traffic-road speed dumps. Vehicles, therefore, need an absolute location to prevent the provision of inaccurate vehicle-location data that is due to radio-shadow areas and relational Inertial Measurement Unit positions. To achieve this, we assume that vehicle-to-infrastructure communication is possible between a vehicle and roadside unit in Vehicular Ad hoc Networks. We used iBeacon at the roadside unit and revised its Universally Unique Identifier so that it generates absolute Global Positioning System location data; that is, moving vehicles can receive absolute Global Positioning System data from the roadside unit-based iBeacon. We compared the proposed method with current Global Positioning System and Inertial Measurement Unit systems for the following two cases: one with a radio-shadow area and one without. We proved that the proposed method generates location data that are more accurate than those of the other methods.

Highlights

  • The fusion of Information and Communications Technology (ICT) and vehicular technology is conducive for the commercial services of self-driving vehicles

  • To measure the absolute Global Positioning System (GPS) data, a vehicle needs to calculate the relative distance from the iBeacon using the received signal strength indicator (RSSI)

  • A vehicle can receive an iBeacon message when it is in the transmission range of an iBeacon device; a vehicle must measure the relative distance from the iBeacon using only RSSI data rssi

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Summary

Introduction

The fusion of Information and Communications Technology (ICT) and vehicular technology is conducive for the commercial services of self-driving vehicles. These methods, are not suitable for a typical vehicle system and smart devices for which location-based services are used because of the high corresponding expenses; the location information can be calculated only if GPS data are received by the transmitter. The distance calculation between iBeacon and the vehicle is predicted by the ‘‘Hemisphere,’’ and the result is used by both the iBeacon GPS data and the receiving area of ‘‘Option.’’

Results
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