Database and software system platform calculated on work with more than 1 million users connected to it. Due to the storage and processing on the Amazon Cloud server all this became possible. Installed environment can be reconstituted for new users in 24 hours. In the aggregate this helps to avoid problems of integration speed in the new operating environment.
Vehicle data collected with the GPRS get into telematics platform and processed by “cloud” servers. The ability to bring together data from different sources into one unit in order to increase their value and to carry out cross-checks of accuracy is an advantage of the system in this area.
Obtained data includes information about:
Telematic platform can receive data at different intervals, depending on customer requirements.
RTA data transmission:
The multisensory method and a high speed data acquisition combination has led to that the device is:
Client mobile applications and WEB- portal to the relevant sections are used to display the processed data.
Telematics allows you to effectively monitor driver’s manner and style of driving, reduce insurance premiums, save fuel. Driving analysis is personal, related to the driver, safety and efficiency of the vehicle control overall evaluation.
Factors affecting Driver behaviour analysis:
Events during the trip:
During the trip the driver gets penalty points depending on events.
Acceleration, Braking, Angular acceleration
Points and overspeed threshold are customizable parameters and adjusted during the statistical data handling.
IMPORTANT Great work experience with navigation technology and using of an actual map database, allows precisely estimate the overspeed value at the section, relative to permitted.
Additional customizable impact factors on the penalty points for speed violations:
This technology has been developed with the assistance of the world leaders of transport issues practical research field: Loughborough University, Motor Industry Research Association (MIRA), Driver Research Group at Cranfield University.
KEY BENEFITS OF TECHNOLOGY:
R-Telematica Telematics platform allows profiling trip data over a certain period of time on the following parameters:
The most complete and constantly updated Russian roads database, which includes speed profiles and road classes, permitted maneuvers, the traffic lights locations, speed cameras, pedestrian crossings, speed bumps and dangerous roads data will allow to flexibly configure and distribute trips by GEOFENCES with different degrees of risk getting into RTA.
RTA identifying improved technology basis on two independent methods of collision detection:
Traditional methods are based only on the accelerometer range. This creates certain problems to separate accident in real and false: it becomes impossible to determine if received blow is due to adverse environmental factors (speed bumps, road potholes, curb hitting) or a small RTA happened (at low speeds).
As a result of a high speed collision, which entails large energy release, are easily identified. As for the small accident, the system they do not differ them much from the bad driving. The key for insurers will be technology that will be able to distinguish between these two situations.
How it works?
Our technology uses two input signals to identify bumps. Traditional G-sensor based on accelerometer readings technology is complemented by collecting acoustic waves that occur during an accident. Only when both sensors simultaneously record the bump at a predetermined level, system sends an RTA report.
Driver rarely will not distinguish the sound that occurs as a result of contact of the trolley from the supermarket with plastic frame front or rear bumpers. A similar sound passes through the whole frame of the vehicle and fixed by sensor. In our case, the energy output is too small and G-sensor identifies a minor collision. All in all, technology will give the result: “RTA is not identified (possible chipped paint!)”.
Strong bump obtained in a collision with a large body, such as another vehicle, generates a pronounced acoustic waves. In addition, a bump pass the vehicle frame allowing high profile acceleration identification.
This same pattern, for example, will be reconstituted in a low acceleration collision. In case of low speed RTA there is also happens a burst of G-sensor readings and acoustic sensor. That means that permissible threshold values set to maximum sensitivity. This can not be achieved using only G-sensor.
Software set more accurate, detailed G-sensor setting and an acoustic output. Overall and smaller vehicle can have different settings, including the punch strength and duration.
Same way one can calibrate the acoustic sensor and accelerometer sensor. When installing these devices need to specify their location in the vehicle, so the sensors can be oriented (where is the front, back of the car). The axes X, Y and Z are aligned automatically.
Acoustic sensor can distinguish sounds that makes the car itself (though they sound like an accident), so loud music or children fighting in the back seat will not cause an alarm sensor activation.
Device test and system check-up were based on real conditions. The main objective in this case was calibration test, system verification to reject false signals, and low speeds RTA fact finding.
Data transfer for the reconstruction of the RTA:
Apart from just listed, using sensors can be ascertained: whether timely manner brake has been used at the road accident; the position was the throttle just before the accident; whether fastened seatbelts.
The technology was intensively testedA certain number of devices have been connected to the program and installed into vehicles that were moving in a controlled environment. Then the cars were exposed to series of hits at low speed (simulating silly situations) to check the device operation and ensure that the signal about minor accident is sent.
The laboratory instruments and cameras were installed in the cars to record all the parameters of the test in detail . Output data was transmitted “over the air” to the remote servers. The functionality of the system was tested in a complete sequence of actions. The cars drove through the artificially created road obstacles, to ensure that the sound waves passing through the suspension of the vehicle, are not identified as “false” accidents.
Testing experience in “real road conditions” showed that the system successfully rejects “false” accident signals. Which is valuable in combination with other data.
Determination accuracy of RTA reaches 96%. Apart from just listed, using sensors can be ascertained: whether timely manner brake has been used at the road accident; the position was the throttle just before the accident; whether fastened seatbelts
The system allows to define different vehicle fault before they cause serious damage.
Functioning of the system is performed via OBD device (an active link to the device) inserted into the diagnostic car socket and provides a vehicle state overview.
In case of remote diagnostics system breakdown, it informs about the incident the client and the response team, which connects to the diagnostics vehicle module software and identifies the malfunction.The software can transfer through the chain data about the exact location of the disabled vehicle to the service team armed with the necessary tools and spares which goes to the vehicle location by the shortest route on request. If the vehicle repair can not be implemented on the spot, the vehicle position is transmitted to the evacuation service team.
R-Telematica company developed mobile applications for iOs and Android, which allows to control and monitor the vehicle online from mobile devices.
With mobile service users can at any time receive answers to following questions:
And also receive notifications about various events related to the technical condition and accidents (RTA in the parking lot, evacuation).