Automatic vehicle localization (AVL) systems have evolved immensely since their conception in the ‘80s. Within the last five years, this technology has seen lightning-fast development but it is still far from meeting industry requirements. As road transportation grows in Mexico, it represents a crucial part of most industries’ logistics operations. As a result, clients demand more precise solutions at lower costs. Vehicle location and availability is already a must for all AVL companies, as well as route optimization. Determining driver habits has progressively become equally important, leading to precise maintenance planning and the minimization of accidents per vehicle. All these factors can lead to a reduction in a vehicle’s total cost of ownership.
However, Mexico suffers from an endemic fuel theft problem. This resource normally represents 60 percent of a truck’s operating cost and fuel theft might reach up to 20 percent of the total consumption of the vehicle. Either through direct theft by the driver or by gas stations, fleets can experience a 12-percent cost upsurge. Moreover, when fuel is adulterated with burnt oil or water forming huachicol, not only is the extra cost related to the stolen fuel but the potential overhaul of the whole engine if damaged by substandard fuel.
To counteract this adverse situation, SITRACK developed a predictive telematics solution based on state-of-the-art sensors connected to the engine’s computer. While most conventional AVL solutions, SITRACK goes a step further. Online parameters, Big Data tools and the use of in-house algorithms support the system to analyze the driver’s behavior, predict potential flaws and even detect unauthorized access to the fuel tank. Any event is pinpointed to a geographic position with a precision of 5m, allowing fleet managers to determine the exact location of the vehicle. The system delivers reports automatically and in real time directly to the email address of the person responsible for the fleet. The solution facilitates fuel theft prevention and helps managers take corrective measures before a problem even arises.