Using state assignment to minimize power dissipation and area for finite state ma-chines is computationally hard. Most of published results show that the reduction of switchingactivity often trades with area penalty. ...Using state assignment to minimize power dissipation and area for finite state ma-chines is computationally hard. Most of published results show that the reduction of switchingactivity often trades with area penalty. In this paper, a new approach is proposed. Experimentalresults show a significant reduction of switching activity without area penalty compared withprevious publications.展开更多
For a local area road network,the available traffic data of traveling are the flow volumes in the key intersections,not the complete OD matrix.Considering the circumstance characteristic and the data availability of a...For a local area road network,the available traffic data of traveling are the flow volumes in the key intersections,not the complete OD matrix.Considering the circumstance characteristic and the data availability of a local area road network,a new model for traffic assignment based on Monte Carlo simulation of intersection turning movement is provided in this paper.For good stability in temporal sequence,turning ratio is adopted as the important parameter of this model.The formulation for local area road network assignment problems is proposed on the assumption of random turning behavior.The traffic assignment model based on the Monte Carlo method has been used in traffic analysis for an actual urban road network.The results comparing surveying traffic flow data and determining flow data by the previous model verify the applicability and validity of the proposed methodology.展开更多
基金Supported by NNSF of China(Key International Cooperative Project No.60010121219)
文摘Using state assignment to minimize power dissipation and area for finite state ma-chines is computationally hard. Most of published results show that the reduction of switchingactivity often trades with area penalty. In this paper, a new approach is proposed. Experimentalresults show a significant reduction of switching activity without area penalty compared withprevious publications.
基金This paper was based on the result of the research project“Exploring the Characteristics of Travel Behavior under Influence of Public Traffic Guidance Means and Modeling in the Actual Urban Traffic Network,”which was supported by a research grant(Grant No.60804048)from the National Natural Science Foundation of China“Study on Integrated Intelligent Transportation Systemthe Piloting Projects for 2010 EXPO in Shanghai”which was supported by a research grant(No.2006BAG01A02)from the Ministry of Science and Technology of the People’s Republic of China.
文摘For a local area road network,the available traffic data of traveling are the flow volumes in the key intersections,not the complete OD matrix.Considering the circumstance characteristic and the data availability of a local area road network,a new model for traffic assignment based on Monte Carlo simulation of intersection turning movement is provided in this paper.For good stability in temporal sequence,turning ratio is adopted as the important parameter of this model.The formulation for local area road network assignment problems is proposed on the assumption of random turning behavior.The traffic assignment model based on the Monte Carlo method has been used in traffic analysis for an actual urban road network.The results comparing surveying traffic flow data and determining flow data by the previous model verify the applicability and validity of the proposed methodology.
