Estimation of Safety Performance Measures from Smartphone Sensors

Safety performance measures represent a useful tool for evaluating road safety conditions on the basis of objective parameters deducible from the vehicle kinematics. In this context, safety performances are expressed in terms of indicators representing interactions between different pairs of vehicles belonging to the traffic stream. Safety performance is expressed from the perspective of rear-end vehicle interactions. Differences in safety performance are discussed with respect to type of indicator and traffic conditions. When these indicators reach a certain critical value (threshold), a possible accident scenario is identified. Most common approaches used to acquire vehicle tracking data are based on video image processing algorithms and satellite navigation systems. However, many studies are increasingly interested in emerging smartphone technologies for tracking people, and hence vehicles. Due to the fact that smartphones are becoming a valid alternative to tablets, personal digital assistants (PDAs) and laptops, offering phone features coupled with multiple mobile internet applications can potentially provide a widespread system for traffic monitoring and control. The main goal of this study is to present a procedure for extracting vehicle tracking data from smartphone sensors and to use them in the estimation of safety performance indicators. The accuracy of tracking data from smartphone sensors is evaluated with respect to global positioning system (GPS) tracking measurements. The results of this analysis identify interactions potentially dangerous and highlight high risk zones that reflect locations characterized by high vehicular interactions. This study underscores the usefulness of smartphones for providing meaningful experimental data to assess potential safety problems.

Language

  • English

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Filing Info

  • Accession Number: 01487079
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 3 2013 1:36PM