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Avoiding road crashes has been the purpose behind many specialized software and hardware systems, involving both active and passive safety principles. Global Positioning technologies were incorporated into the transportation systems with the main purpose of acquiring the position of the vehicle under a continuous basis, for security and economy purposes. However, the GPS data can also be used for assessing the level of safety at which the vehicle is driven. On the basis of the essential data available from commercial GPS devices, in this paper we propose a combined performance measurement to assess the road safety level at which the vehicle is being driven. Such performance measure uses GPS data of the vehicle displacement, including the speed and the acceleration, as well as the course (latitude and longitude coordinates), in an integral driving assessment formulation that can run in real time. Results from the experimental use of this formulation suggest that the level of safety in the driving is time dependent, and that there are risky situations when different factors converge.
GPS-data based calculation scheme for assessing, in real-time, the level of safety exerted during driving, has been described and used. The several variables involved considered the main factors that lead to road mishaps, including the speed, the acceleration and the effects that these variables have on the vehicle when it is negotiating a turn. The performance measure combines three individual performance outputs: speed, acceleration and a hybrid performance measure considering the speed, the acceleration and the change in latitude/longitude. The measures are designed in such a way that weighting factors can be calibrated in order to establish certain critical parameters. On the other hand, the terms in the equations preclude any division by zero of the involved ratios. On the other hand, the simplicity of the equations makes it possible to carry out the assessment in real time. The use of the resultant performance measure to a relatively long path, together with its current average value, indicates that the safe performance of the driving changes with time, and that, for the selected values of the calibration constants, the traveling speed dominates the overall safety performance of the driving. Furthermore, the different calibration constants provide the possibility of considering different types of hazmat carrying vehicles. While many other formulation components could be integrated into the performance measure, this three-component performance measure could be used to assess the driving of a hazmat-carrying vehicle, in order to detect and to prevent dangerous conditions, such as driver fatigue.
Finally, the implementation of the different performance measure formulations in a system such as the one described in the introduction of this paper, could be straightforward.