Titlebook: Smart Transportation and Green Mobility Safety; Traffic Safety Wuhong Wang,Hongwei Guo,Dongxian Sun Conference proceedings 2024 The Editor(

PALL

A Multi-objective Route Selection Model Based on Mobile Connected Information,ost at the scenario layer and the execution layer, and further constructs a route selection model for multiple objectives in the mobile connected information environment. The corresponding fuzzy network model inference system is constructed and trained on the basis of this route selection model. The

宣誓书

Minutes

,Multi-level Evaluation of a Driver’s Safety Performance Based on Driving Simulation,ty, stress response ability, and rule recognition ability are important driving abilities and collectively influence the safety of drivers, so testing and evaluating their multiple abilities is essential. This paper designed typical driving scenarios, selected appropriate metrics for characterizing

NICE

extinct

Model of Motor Vehicle Traffic Conflicts at Urban Intersections Based on Angle Recognition,ections were recognized to establish a new traffic conflict recognition model based on the high precision trajectory data from the radar and video all-in-one machine at holographic intersections and in combination with complete vehicle motion information. Conflict categories were identified; and the

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智力高

Research on Real-Time Dynamic Prediction Algorithm of Expressway Operation Situation Facing Severe ove the efficiency of highway traffic and enhance safe operation under adverse weather conditions. To solve the above problems, this study establishes a DBN-AdaBoost prediction model based on highway weather data and traffic flow data. Firstly, the DBN model is used to extract the effective features

征税

Petechiae

Inter-Vehicle Traffic Accident Severity Analysis Based on Random Parameter Logit Model,raffic accident data in France was used, with accident severity as the dependent variable and 12 factors such as people, roads, environment, and accident characteristics as independent variables, based on a random parameter logit model using a backward stepwise selection method, while using average