The advancement of autonomous vehicles(AVs)requires robust evaluation methods to ensure both safety and efficiency.To incorporate multiple dimensions in designing test scenarios,this paper proposes a multidimensional ...The advancement of autonomous vehicles(AVs)requires robust evaluation methods to ensure both safety and efficiency.To incorporate multiple dimensions in designing test scenarios,this paper proposes a multidimensional evaluation framework for AV test scenarios based on the Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)model.The evaluation considers three dimensions:risk,complexity,and rarity.First,the test scenario is deconstructed into its constituent elements.Then,the weights of these elements are determined from both subjective and objective perspectives using the Analytic Hierarchy Process(AHP)and Entropy Weight Method.Then,game theory is employed to optimize these weights,deriving the optimal balance between subjective and objective weights.Next,three different scenario libraries are utilized as case studies,and a comprehensive evaluation index is calculated using the TOPSIS model.Subsequently,the scenarios are categorized into four levels using K-means clustering algorithm.Finally,the accuracy and reliability of the framework are verified through simulation.The simulation results demonstrate the effectiveness of the framework in identifying critical scenarios and providing valuable insights for AV testing.展开更多
Many specified business needs in enterprise context cannot be effectively satisfied using current business process technology.This phenomenon is called the "long tail" of business processes.In addition,more ...Many specified business needs in enterprise context cannot be effectively satisfied using current business process technology.This phenomenon is called the "long tail" of business processes.In addition,more and more business applications need to be accessed from mobile devices such as smartphones by enterprise end users.This paper attempts to solve both two challenges above.A lightweight event-driven process model is proposed aiming at satisfying the spontaneous business needs in enterprise.And we design an innovative wizard,which works like a tutorial,guiding end users in creating this lightweight process model.Moreover,end users are allowed to interact with the process created by themselves on smartphones.Finally,the usability of our approach was evaluated on a small set of users in a real business scenario.The results show that end users can effectively build their personalized business processes using our approach and interact with them in mobile environment.展开更多
基金supported in part by the National R&D Program of China(Grant No.2023YFB2504700).
文摘The advancement of autonomous vehicles(AVs)requires robust evaluation methods to ensure both safety and efficiency.To incorporate multiple dimensions in designing test scenarios,this paper proposes a multidimensional evaluation framework for AV test scenarios based on the Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)model.The evaluation considers three dimensions:risk,complexity,and rarity.First,the test scenario is deconstructed into its constituent elements.Then,the weights of these elements are determined from both subjective and objective perspectives using the Analytic Hierarchy Process(AHP)and Entropy Weight Method.Then,game theory is employed to optimize these weights,deriving the optimal balance between subjective and objective weights.Next,three different scenario libraries are utilized as case studies,and a comprehensive evaluation index is calculated using the TOPSIS model.Subsequently,the scenarios are categorized into four levels using K-means clustering algorithm.Finally,the accuracy and reliability of the framework are verified through simulation.The simulation results demonstrate the effectiveness of the framework in identifying critical scenarios and providing valuable insights for AV testing.
基金supported by the National 973 Programs(Grant No.2013CB329102)the National Natural Science Foundation of China (Grant No.61003067)Key Project of National Natural Science Foundation of China (Grant No.61132001)
文摘Many specified business needs in enterprise context cannot be effectively satisfied using current business process technology.This phenomenon is called the "long tail" of business processes.In addition,more and more business applications need to be accessed from mobile devices such as smartphones by enterprise end users.This paper attempts to solve both two challenges above.A lightweight event-driven process model is proposed aiming at satisfying the spontaneous business needs in enterprise.And we design an innovative wizard,which works like a tutorial,guiding end users in creating this lightweight process model.Moreover,end users are allowed to interact with the process created by themselves on smartphones.Finally,the usability of our approach was evaluated on a small set of users in a real business scenario.The results show that end users can effectively build their personalized business processes using our approach and interact with them in mobile environment.
