Abstract
Task-related fatigue, caused by prolonged driving, is a major cause of vehicle crashes. Despite noticeable academic achievements, monitoring drivers’ fatigue on road sections is still an ongoing challenge which must be met to prevent and reduce traffic accidents. Fortunately, individual instances of vehicle trajectory big data collected through advanced vehicle-GPS systems offer a strong opportunity to trace driving durations. We propose a new approach by which to monitor task-related fatigued drivers by directly using the ratio of potentially fatigued drivers (RFD) to all drivers for each road section. The method used to compute the RFD index was developed based on two inputs: the distribution of the driving duration (extracted from vehicle trajectory data), and the boundary condition of the driving duration between fatigued and non-fatigued states. We demonstrate the potentialities of the method using vehicle trajectory big data and real-life traffic accident data. Results showed that the measured RFD has a strong explanatory power with regard to the traffic accident rate, with a statistical correlation of 0.86 at least, for regional motorway sections. Therefore, it is expected that the proposed approach is a feasible means of successfully monitoring fatigued drivers in the present and near future era of smart-mobility big data.
Highlights
Given that automobile driving is a critical safety task and a daily socio-economic activity, automobile crashes are a major cause of enormous socio-economic losses [1,2,3,4]
A concept for the direct monitoring of a degree of drivers’ task-related fatigue (i.e., ratio of potentially fatigued drivers (RFD)) for road sections was introduced in this study
The robustness of the method was demonstrated using vehicle trajectory big data obtained from a vehicle-GPS system and real-life vehicle crash data collected from regional motorways
Summary
Given that automobile driving is a critical safety task and a daily socio-economic activity, automobile crashes are a major cause of enormous socio-economic losses (e.g., severe injuries, deaths, and economic losses) [1,2,3,4]. In order to analyze and prevent road traffic crashes more efficaciously, noticeable academic efforts to explore and determine significant factors that may affect vehicle crashes have been made in the field of road transport safety. One significant factor from academia and driver experience is known as “driving fatigue.”. There is a consensus that driving fatigue is a direct or contributing cause of road traffic accidents, especially on motorways [10,12,13,14,15,16,17,18]. Prolonged and monotonous driving on motorways increases driving fatigue [1,9,10,19], which in turn significantly affects fatigue-related vehicle crashes [11,12,14,16,17,18,19,20,21,22,23,24]
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