Improper handling of vehicle on-ramp merging may hinder traffic flow and contribute to lower fuel economy,while also increasing the risk of collisions.Cooperative control for connected and automated vehicles(CAVs)has ...Improper handling of vehicle on-ramp merging may hinder traffic flow and contribute to lower fuel economy,while also increasing the risk of collisions.Cooperative control for connected and automated vehicles(CAVs)has the potential to significantly reduce negative environmental impact while also improve driving safety and traffic efficiency.Therefore,in this paper,we focus on the scenario of CAVs on-ramp merging and propose a centralized control method.Merging sequence(MS)allocation and motion planning are two key issues in this process.To deal with these problems,we first propose an MS allocation method based on a complete information static game whereby the mixed-strategy Nash equilibrium is calculated for an individual vehicle to select its strategy.The on-ramp merging problem is then formulated as a bi-objective(total fuel consumption and total travel time)optimization problem,to which optimal control based on Pontryagin's minimum principle(PMP)is applied to solve the motion planning issue.To determine the proper parameters in the bi-objective optimization problem,a varying-scale grid search method is proposed to explore possible solutions at different scales.In this method,an improved quicksort algorithm is designed to search for the Pareto front,and the(approximately)unbiased Pareto solution for the bi-objective optimization problem is finally determined as the optimal solution.The proposed on-ramp merging strategy is validated via numerical simulation,and comparison with other strategies demonstrates its effectiveness in terms of fuel economy and traffic efficiency.展开更多
This paper analyses adverse selection by signalingmodel and imcomplete information static game modelafter the review of Internet trust. The results showthat establishing credit grades system, decreasingcost difference...This paper analyses adverse selection by signalingmodel and imcomplete information static game modelafter the review of Internet trust. The results showthat establishing credit grades system, decreasingcost differences of Internet goods, increasing Internetmerchants participating in marking a price, reducingmerchants’ cost, concentrating purchase can improveInternet trust. The theoretical bias is provided for theresearch of trust in Internet.展开更多
现有蠕虫攻击策略(防护策略)评估方法没有考虑防护策略(攻击策略)变化对攻击策略(防护策略)绩效评估的影响,且防护策略评估忽视了策略实施成本.针对这种情况,构建了基于静态贝叶斯博弈的绩效评估模型(performance evaluation model base...现有蠕虫攻击策略(防护策略)评估方法没有考虑防护策略(攻击策略)变化对攻击策略(防护策略)绩效评估的影响,且防护策略评估忽视了策略实施成本.针对这种情况,构建了基于静态贝叶斯博弈的绩效评估模型(performance evaluation model based on static Bayesian game,简称PEM-SBG)以及对抗情形下的蠕虫攻防策略绩效评估方法.在模型PEM-SBG基础上提出的基于灰色多属性理论的防护策略绩效评估方法,综合考虑了成本类和收益类的多个评估属性,有助于提高评估过程的全面性.针对典型的蠕虫攻防场景.利用仿真工具SSFNet进行了模拟实验,验证了所提出的模型和方法的有效性.展开更多
基金supported in by National Natural Science Foundation of China (No.61903046)Key Research and Development Program of Shaanxi Province (No.2021GY-290)+2 种基金Youth Talent Lift Project of Shaanxi Association for Science and Technology (No.20200106)Joint Laboratory for Internet of Vehicles,Ministry of Education-China Mobile Communications Corporation (No.213024170015)Fundamental Research Funds for the Central Universities (No. 300102240106)
文摘Improper handling of vehicle on-ramp merging may hinder traffic flow and contribute to lower fuel economy,while also increasing the risk of collisions.Cooperative control for connected and automated vehicles(CAVs)has the potential to significantly reduce negative environmental impact while also improve driving safety and traffic efficiency.Therefore,in this paper,we focus on the scenario of CAVs on-ramp merging and propose a centralized control method.Merging sequence(MS)allocation and motion planning are two key issues in this process.To deal with these problems,we first propose an MS allocation method based on a complete information static game whereby the mixed-strategy Nash equilibrium is calculated for an individual vehicle to select its strategy.The on-ramp merging problem is then formulated as a bi-objective(total fuel consumption and total travel time)optimization problem,to which optimal control based on Pontryagin's minimum principle(PMP)is applied to solve the motion planning issue.To determine the proper parameters in the bi-objective optimization problem,a varying-scale grid search method is proposed to explore possible solutions at different scales.In this method,an improved quicksort algorithm is designed to search for the Pareto front,and the(approximately)unbiased Pareto solution for the bi-objective optimization problem is finally determined as the optimal solution.The proposed on-ramp merging strategy is validated via numerical simulation,and comparison with other strategies demonstrates its effectiveness in terms of fuel economy and traffic efficiency.
文摘This paper analyses adverse selection by signalingmodel and imcomplete information static game modelafter the review of Internet trust. The results showthat establishing credit grades system, decreasingcost differences of Internet goods, increasing Internetmerchants participating in marking a price, reducingmerchants’ cost, concentrating purchase can improveInternet trust. The theoretical bias is provided for theresearch of trust in Internet.
文摘现有蠕虫攻击策略(防护策略)评估方法没有考虑防护策略(攻击策略)变化对攻击策略(防护策略)绩效评估的影响,且防护策略评估忽视了策略实施成本.针对这种情况,构建了基于静态贝叶斯博弈的绩效评估模型(performance evaluation model based on static Bayesian game,简称PEM-SBG)以及对抗情形下的蠕虫攻防策略绩效评估方法.在模型PEM-SBG基础上提出的基于灰色多属性理论的防护策略绩效评估方法,综合考虑了成本类和收益类的多个评估属性,有助于提高评估过程的全面性.针对典型的蠕虫攻防场景.利用仿真工具SSFNet进行了模拟实验,验证了所提出的模型和方法的有效性.
