Risk Identification of In-Vehicle Information System Operation Based on Traffic Environment Complexity
In order to reduce driver distraction and its traffic safety problems caused by the operation of in-vehicle information systems, carried out IVIS (In-vehicle information system) operation risk identification based on different traffic environment conditions. In this chapter, on the basis of traffic environment complexity definition, designed the driving distraction experiments under different traffic conditions, the vehicle, road video scene, and driving conditions data were collected in the experiment in which forty participants interacted with an IVIS while driving. Combined with IVIS operation time and the traffic environment information, build operation risk identification model, determined the safety risks of different IVIS operations. The IVIS operation suggestions under different environment are presented. Results show that the model can accurately identify the safety risks of the IVIS operating under different environmental conditions. When traffic environment complexity is higher, some vehicle information system operations need to be warned or banned. Potential applications of this chapter include the strategy of driving behavior intervention and the evaluation of driver distraction.
KeywordsIVIS Driver distraction Traffic environment Safety risk identification Intervention strategies
This work was completed as part of the National Science Foundation of China Program “Driver Multi-channel Distracted Characteristics Based on IVIS and Its Effects on Driving Performance (51108136)”. The authors would like to thank the reviewers and the graduate students of the Institute of Traffic Engineering for their valuable comments.
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