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Complex traffic situations and high driving workload are the leading contributing factors to traffic crashes. There is a strong correlation between driving performance and driving workload, such as visual workload from traffic signs on highway off-ramps. This study aimed to evaluate traffic safety by analyzing drivers’ behavior and performance under the cognitive workload in complex environment areas. First, the driving workload of drivers was tested based on traffic signs with different quantities of information. Forty-four drivers were recruited to conduct a traffic sign cognition experiment under static controlled environment conditions. Different complex traffic signs were used for applying the cognitive workload. The static experiment results reveal that workload is highly related to the amount of information on traffic signs and reaction time increases with the information grade, while driving experience and gender effect are not significant. This shows that the cognitive workload of subsequent driving experiments can be controlled by the amount of information on traffic signs; Second, driving characteristics and driving performance were analyzed under different secondary task driving workload levels using a driving simulator. Drivers were required to drive at the required speed on a designed highway off-ramp scene. The cognitive workload was controlled by reading traffic signs with different information, which were divided into four levels. Drivers had to make choices by pushing buttons after reading traffic signs. Meanwhile, the driving performance information was recorded. Questionnaires on objective workload were collected right after each driving task. The results show that speed maintenance and lane deviations are significantly different under different levels of cognitive workload, and the effects of driving experience and gender groups are significant. The research results can be used to analyze traffic safety in highway environments, while considering more drivers’ cognitive and driving performance.

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Autophagy is an evolutionarily conserved catabolic process, which plays a vital role in removing misfolded proteins and clearing damaged organelles to maintain internal environment homeostasis. Here, we uncovered the checkpoint kinase 2 (CHK2)-FOXK (FOXK1 and FOXK2) axis playing an important role in DNA damage-mediated autophagy at the transcriptional regulation layer. Mechanistically, following DNA damage, CHK2 phosphorylates FOXK and creates a 14-3-3 binding site, which, in turn, traps FOXK proteins in the cytoplasm. Because FOXK functions as the transcription suppressor of ATGs, DNA damage-mediated FOXKs' cytoplasmic trapping induces autophagy. In addition, we found that a cancer-derived FOXK mutation induces FOXK hyperphosphorylation and enhances autophagy, resulting in chemoresistance. Cotreatment with cisplatin and chloroquine overcomes the chemoresistance caused by FOXK mutation. Overall, our study highlights a mechanism whereby DNA damage triggers autophagy by increasing autophagy genes via CHK2-FOXK-mediated transcriptional control, and misregulation of this pathway contributes to chemoresistance.

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