随着城市化进程的加快,交通拥堵问题日益严重,严重影响了城市居民的出行效率和生活质量。智能网联汽车(Intelligent and Connected Vehicles,ICVs)作为新一代智能交通系统的重要组成部分,通过车路协同、智能调度、自适应巡航及动态路径...随着城市化进程的加快,交通拥堵问题日益严重,严重影响了城市居民的出行效率和生活质量。智能网联汽车(Intelligent and Connected Vehicles,ICVs)作为新一代智能交通系统的重要组成部分,通过车路协同、智能调度、自适应巡航及动态路径优化等方式可以显著提升道路通行效率。该文通过分析智能网联汽车在提升交通安全、降低碳排放和改善交通管理方面的潜在优势,提出当前应用面临的技术瓶颈、基础设施建设需求,以及政策法规的制约因素。研究表明,智能网联汽车的推广应用可有效缓解交通拥堵,提高道路使用效率,但仍需进一步完善数据共享机制、车路协同系统及智能交通管理平台,以实现更广泛的应用和优化。展开更多
“双碳”的提出驱动了我国的电力行业以低碳为目标进行优化,为使综合能源系统(integreated energy system,IES)运行更环保和经济,提出了考虑基于绿色电力证书(green certificate trading,GCT)的阶梯式碳交易机制与计及综合需求响应的IE...“双碳”的提出驱动了我国的电力行业以低碳为目标进行优化,为使综合能源系统(integreated energy system,IES)运行更环保和经济,提出了考虑基于绿色电力证书(green certificate trading,GCT)的阶梯式碳交易机制与计及综合需求响应的IES优化调度方法。首先,基于IES的碳能流特性,引入基于GCT的碳交易机制实现系统多能流形式下的碳互补;然后,考虑了电力、燃气和热负荷的柔性供给特性,构建了激励型综合需求响应模型。最后,以综合运行成本最低为目标,建立了考虑电-气-热系统的综合能源系统优化调度模型,并采用CPLEX商业求解器求解,仿真验证所提方法在降低综合能源系统碳排放和优化系统经济效益的有效性。结果表明,提出的绿证—碳交易和综合需求响应的调度方法对系统的环境效益和经济效益都可优化。展开更多
Quality of experience （ QoE ） based scheduling algorithm of long term evalution （ LTE ） network with various traffics is studied. Utility functions are adopted to estimate mean opinion score （MOS） for different ...Quality of experience （ QoE ） based scheduling algorithm of long term evalution （ LTE ） network with various traffics is studied. Utility functions are adopted to estimate mean opinion score （MOS） for different traffics and a new MOS metric called normalized MOS is defined. A scheduling algorithm based on normalized MOS and greedy algorithm is proposed, aiming at maximizing the entirety MOS level of the whole users in the cell. We compare the performance of the proposed algorithm with other typical scheduling algorithms and the simulation results show that the algorithm pro- posed outperform other ones in term of QoE and fairness.展开更多
This paper studies optimal algorithms for scheduling large-scale application on heterogeneous systems using Divisible Load Theory.A more realistic and general model,i.e.,both processors and communication links may hav...This paper studies optimal algorithms for scheduling large-scale application on heterogeneous systems using Divisible Load Theory.A more realistic and general model,i.e.,both processors and communication links may have different speeds and arbitrary start-up costs,and communication is in non-blocking mode,is introduced.Under such environment,the following results are obtained: ①Mathematic model and closed-form expressions both for the processing time and the fraction of load for each processor are derived;②the influence of start-up costs on the optimal processing time is analyzed;③for a given heterogeneous systems and a large-scale computing problem,optimal algorithms are proposed.展开更多
文摘随着城市化进程的加快,交通拥堵问题日益严重,严重影响了城市居民的出行效率和生活质量。智能网联汽车(Intelligent and Connected Vehicles,ICVs)作为新一代智能交通系统的重要组成部分,通过车路协同、智能调度、自适应巡航及动态路径优化等方式可以显著提升道路通行效率。该文通过分析智能网联汽车在提升交通安全、降低碳排放和改善交通管理方面的潜在优势,提出当前应用面临的技术瓶颈、基础设施建设需求,以及政策法规的制约因素。研究表明,智能网联汽车的推广应用可有效缓解交通拥堵,提高道路使用效率,但仍需进一步完善数据共享机制、车路协同系统及智能交通管理平台,以实现更广泛的应用和优化。
文摘“双碳”的提出驱动了我国的电力行业以低碳为目标进行优化,为使综合能源系统(integreated energy system,IES)运行更环保和经济,提出了考虑基于绿色电力证书(green certificate trading,GCT)的阶梯式碳交易机制与计及综合需求响应的IES优化调度方法。首先,基于IES的碳能流特性,引入基于GCT的碳交易机制实现系统多能流形式下的碳互补;然后,考虑了电力、燃气和热负荷的柔性供给特性,构建了激励型综合需求响应模型。最后,以综合运行成本最低为目标,建立了考虑电-气-热系统的综合能源系统优化调度模型,并采用CPLEX商业求解器求解,仿真验证所提方法在降低综合能源系统碳排放和优化系统经济效益的有效性。结果表明,提出的绿证—碳交易和综合需求响应的调度方法对系统的环境效益和经济效益都可优化。
基金Supported by China National S&T Major Project(2013ZX03003002-003)Beijing Natural Science Foundation(4152047)National High Technology Research and Development Program of China(863Program)(2014AA01A701)
文摘Quality of experience （ QoE ） based scheduling algorithm of long term evalution （ LTE ） network with various traffics is studied. Utility functions are adopted to estimate mean opinion score （MOS） for different traffics and a new MOS metric called normalized MOS is defined. A scheduling algorithm based on normalized MOS and greedy algorithm is proposed, aiming at maximizing the entirety MOS level of the whole users in the cell. We compare the performance of the proposed algorithm with other typical scheduling algorithms and the simulation results show that the algorithm pro- posed outperform other ones in term of QoE and fairness.
基金the National Natural Scienee Foundation of China under Grant(10467007)Foundation of"863"(2006AA01Z414)
文摘This paper studies optimal algorithms for scheduling large-scale application on heterogeneous systems using Divisible Load Theory.A more realistic and general model,i.e.,both processors and communication links may have different speeds and arbitrary start-up costs,and communication is in non-blocking mode,is introduced.Under such environment,the following results are obtained: ①Mathematic model and closed-form expressions both for the processing time and the fraction of load for each processor are derived;②the influence of start-up costs on the optimal processing time is analyzed;③for a given heterogeneous systems and a large-scale computing problem,optimal algorithms are proposed.
