R.S. Kulikov – Ph.D.(Eng.), Head of Department of Radio Systems, 

«National Research University «MPEI» (Moscow)

E-mail: coolicoff@gmail.com

A.A. Chugunov – Post-graduate Student, 

Department of Radio Systems, «National Research University «MPEI» (Moscow)

E-mail: iamchugunov@gmail.com

Particular attention in intelligent transport systems is given to ensure the safety and reliability of the transport process. There are plethora of approaches being investigated and offered. Most of them are based on additional on-board sensors, besides that the most sophisticated are based on inter-vehicle communication and sharing of measurements. Others are based on substational modification of road infrastructure. Adding external sensors and sensors to vehicles is a significant obstacle to scaling such solutions. On the one hand, a smartphone is both an external measuring device, in fact, a receiver of navigation signals, and a means of communication between vehicles. This makes it possible to share measurements of neighboring cars. But on the other hand, smartphones do not provide positioning accuracy sufficient to prevent car collisions. The typical location error for smartphones is units of meters and more. In a number of articles, a submeter (sometimes centimeter) positioning error was achieved using various navigation methods (PPP – Precise Point Positioning, RTK – Real Time Kinematics), but in these articles the measurements were carried out in «ideal» conditions when the smartphone is in the open, on the roof of a tall building or on special tripod. In practice, a smartphone is used in a car in urban areas, where some of the navigation satellites are obscured by a metal roof and tall buildings. That’s why the study of location error in real conditions is of particular interest. Using of raw GNSS measurements in Andoid smartphones for precise mututal positioning of vehicles on a road is considered in the Paper. Field experiments with two moving vehicles and pedestrian were conducted. 15 kinds of general maneuvers were provided (overtaking, turn, oncoming traffic, etc.). Smartphone measurements were logged and post-processed to get mutual positioning estimations during maneuvering. Smartphone estimations were compared with precision GNSS receivers measurements.

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