With AI adoption accelerating, fleet telematics systems are set to expand their route optimisation, vehicle diagnostics and driver behaviour capabilities to shape mobility and safety in a way that could affect present, future and historic events. Justin Manson, sales director: South Africa at Webfleet, Bridgestone’s globally trusted fleet management solution, looks at how AI uses an unlimited data set to instantly and accurately generate a clear picture of past, current and emerging risks.
Rapidly expanding and widespread use of systems like AI language models and other natural language processing (NLP) tools is opening people’s eyes to the remarkable abilities of AI to integrate various sources. This integration allows AI to provide comprehensive, microscopic details about literally everything – in real time.
This is no exaggeration. With the only limitation being access to reliable data, AI is able to quickly make detailed connections between various data points, resulting in extremely precise and continually improving analyses over time. As credible data sources begin to interconnect, organisations can make vastly better decisions about business operations and public safety in an integrated manner.
Data from all government agencies (especially municipalities), law enforcement, emergency medical services (EMS), private security, vehicle tracking companies, closed-circuit television (CCTV), mobile data, national population data and vehicles can be analysed infinitely to generate cohesive insights.
Usability
AI enhances telematics systems by providing rich reports based on real-time data, which helps users make quick and informed decisions. It allows for customisation so systems can be tailored to meet specific needs and preferences. Seamless integration with other platforms creates a unified view of information while automation reduces manual input and minimises errors. Overall, AI improves data accuracy and efficiency, making telematics systems more user-friendly.
Real-time telematics possibilities
Live and historic traffic data can be overlaid with information about active road incidents, public protests, weather conditions and crimes to generate accurate results using predictive analytics. Systems can recognise complex patterns across all data, allowing on-board telematics to identify areas with higher probabilities of various risks such as crime, crashes, congestion and roadworks. This allows for real-time traffic diversion to not only cut travel time but also reduce stress for all road users.
Futureproofing with telematics
Beyond making roads more efficient, data produced by telematics devices to and from vehicles, including advanced fleet dash cam data, can unlock powerful predictive analysis using billions of parameters or variables.
Driver behaviour data combined with security data can expose crime hot spots, allowing law enforcement to position vehicles for faster reaction times.
In the private security sector, accurate predictive models can enhance tactics and procedures. EMS already uses heat map generators to track the most active crash zones. Using heat tracking to identify areas with high rates of stabbings and shootings, responders can strategically position security and ambulances.
Theft rates and insurance costs
In 2024, rising vehicle theft rates in South Africa have heightened insurance premiums and security concerns, especially for high-value vehicles. For example, nearly 6 000 hijackings occurred in the fourth quarter of 2023, mainly in Gauteng. In response, some insurance companies have started offering lower insurance premiums through discounts for vehicles equipped with telematics devices.
This technology has even improved the efficiency of emergency services by providing real-time data, leading to faster response times and better fleet management, thus reducing crime and lowering insurance costs overall.
Vehicle theft prevention and investigation
Modern telematics systems provide real-time GPS tracking, which allows fleet managers to monitor vehicle locations continuously and respond swiftly to theft incidents. Features like geofencing send alerts when vehicles enter or exit predefined areas, helping prevent unauthorised movements. Additionally, these systems maintain historic location data and driving behaviours, which can be crucial for investigating theft and identifying suspicious activities.
With access to live data, telematics systems can rapidly move forward and backwards in real time, analysing vast amounts of evidence faster than any human investigator and picking up patterns humans may miss. By demonstrating ability to reliably solve cold cases, smart telematics can act as a further deterrent against criminal activity while enabling first responders to make much more educated decisions in resource allocation.
