Model Study for Early Warning System of Urban Road Intersection Based on the Back Propagation Neural Network
Wang Qiquan,
Fei Yuzhou,
Ni Junwen
Issue:
Volume 4, Issue 1, November 2016
Pages:
1-6
Received:
22 August 2016
Accepted:
9 September 2016
Published:
9 October 2016
Abstract: The urbanization is the sign of advanced development for an urban. In recent years, with the development of science, technology and economy and the rise of urban car ownership, urban road traffic became a severe problem. There occurred a huge number of urban road traffic accidents frequently. To study and find insufficiency for the research status at home and abroad, the four aspects --"man - vehicle - road - environment" are analyzed, and the comprehensive analysis of the present safety situation of urban road intersection is made. Selecting one in seven important influencing factors of urban road intersection index as a Back Propagation (BP) neural network input, the early warning model, based on BP neural network, is established. Data of existing urban road intersections is analyzed, and the results show that the BP neural network can be well applied to early warning and forecast model analysis of urban road intersection accident, thus it facilitates for the traffic administrative department of the city road intersection to predict the accident frequency of urban road intersection for the traffic accident in the future, take appropriate intervention measures and improve the safety status of urban road intersection.
Abstract: The urbanization is the sign of advanced development for an urban. In recent years, with the development of science, technology and economy and the rise of urban car ownership, urban road traffic became a severe problem. There occurred a huge number of urban road traffic accidents frequently. To study and find insufficiency for the research status ...
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Cache Optimization by Fully-Replacement Policy
Issue:
Volume 4, Issue 1, November 2016
Pages:
7-14
Received:
20 October 2016
Accepted:
9 November 2016
Published:
5 December 2016
Abstract: Cache is an important component in computer architecture. It has great effects on the performance of systems. Nowadays, Least Recently Used (LRU) Algorithm is one of the most commonly used one because it is easy to implement and with a relatively good performance. However, in some particular cases, LRU is not a good choice. To provide references for the computer architecture designer, the study proposed a new algorithm named Fully Replacement Policy (FRP) and then analyzed various factors of effects on cache performance, carried out the simulation experiment of cache performance based on SimpleScalar toolset and SPEC2000 benchmark suite. The study compared the effects of Fully Replacement Policy with Least Recently Used (LRU) Algorithm when set size, block size, associativity and replacement methods are changed separately., By experimentally analyzing the results, it was found that FRP outperforms LRU in some particular situations.
Abstract: Cache is an important component in computer architecture. It has great effects on the performance of systems. Nowadays, Least Recently Used (LRU) Algorithm is one of the most commonly used one because it is easy to implement and with a relatively good performance. However, in some particular cases, LRU is not a good choice. To provide references fo...
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