Insight: AI, IOT & Telematics

Artificial Intelligence now plays a very important part in the future of traffic and transportation as governments across the globe look to create safer roads and lesser traffic congestion. We caught up with Jedrek Fulara, CTO of Sparkbit – A European software house specialised in building IoT, AI and telematics systems, to discuss disruption in the Transport Industry and the technology they will display at Gulf Traffic 2019.

 Which technologies, in your opinion, will disrupt the road safety and transportation industry? 

 Jedrek: One of the fastest growing trends in transportation in general and road safety is the use of IoT technologies. Currently, the most popular solutions are those using data from various types of sensors located in both vehicles and road infrastructure. This is the basis for what is commonly known as connected cars or smart infrastructure. And I'm sure that this trend will only go further. 

 The amount of available information increases steadily with each passing year, every new car model has at least a few hundred sensors installed, thanks to which we are able to accurately assess all events related to the operation of a given element (equipment or driver) - e.g. necessary repairs, driving style, the risk level generated by a particular motorist. Telematics, therefore, becomes the basis for creating detailed analysis and profiles of drivers. Having information about the travel context of a given driver (weather, road types, speed limits) as well as information on events generated by him (braking, acceleration) we can precisely determine what type of driver a given person is, what kind of risk he poses for other road participants, and which driving areas should he improve to make his travel safer.

The second very important trend in transportation and road safety is the use of artificial intelligence. Thanks to the adoption of machine learning techniques, we can analyse and evaluate not only events that have had place but also those we anticipate that will happen.

 Gulf Traffic: How does the individual driving style analysis look like?

Jedrek: To describe how the driving style analysis looks like I will use an example of the approach that we created at Sparkbit. To prepare the individual profile of a driver, we gather telematics data from various sensors. This can include GPS, accelerometer from a mobile phone or tag, OBD2 dongles or cameras, and even radars. Having the data, we add contextual information, such as road types, speed limits, real-time traffic and weather conditions from external providers. The next step is hazardous events detection – our system identifies driver’s actions, such as speeding, harsh accelerations or following another car too closely which are signs of bad driving habits.

The goal is to build the driver’s profile and evaluate each driver in terms of safe and economical driving. The collected data and results of the analysis are presented in the form of clear dashboards and reports. Our system provides the driver with feedback and tips on what he or she can improve.  

 Read more here: https://tiny.cc/z3ufcz

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