The rapid increase in the number of novice drivers has created serious traffic safety problems. Compared to experienced drivers, novice drivers are more likely to be involved in accidents. The study of the accident characteristics of novice drivers is of great importance for novice driver safety training and accident prevention. This paper analyses the traffic accident characteristics of novice drivers by mining traffic accident data, explores the accident scenarios in which novice drivers are involved in traffic accidents, and filters out the scenarios that are most likely to lead to accidents involving novice drivers according to the random forest algorithm. The study provides theoretical support for the selection of intervention scenarios in further novice driver risk perception intervention studies and has important implications for novice driver crash prevention.
In order to explore the evolution characteristics of the traffic flow in the continuous confluence area of the expressway, and improve the overall operation efficiency of the expressway. The research is based on simulation experiments to deeply study the evolution law of traffic flow in the continuous confluence area. First, the micro simulation model parameters are calibrated and verified based on the measured data in the confluence area, and a simulation experiment platform with high accuracy and wide applicability is built to carry out experimental research. Under different main line and on-ramp flow combinations, the size of the related influence range of adjacent on-ramps is quantitatively analyzed, and finally a kind of related influence distance is selected as the research scenario to reveal the general evolution law of traffic flow in the continuous confluence area.
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