Narrow Results

In view that drivers would pay attention to the variation of headway on roads, an extended optimal velocity model is proposed by considering anticipation driving behavior. A stability criterion is given through linear stability analysis of traffic flows. The mKdV equation is derived with the reductive perturbation method for headway evolution which could be used to describe the stop-and-go traffic phenomenon. The results show a good effect of anticipation driving behavior on the stabilization of car flows and the anticipation driving behavior can improve the numerical stability of the model as well. In addition, the fluctuation of kinetic energy and the consumption of average energy in congested traffic flows are systematically analyzed. The results show that the reasonable level of anticipation driving behavior can save energy consumption in deceleration process effectively and lead to an associated relation like a "bow-tie" between the energy-saving and the value of anticipation factor.

In many countries, energy-saving and emissions mitigation for urban travel and public transportation are important for smart city developments. It is essential to understand the impact of smart transportation (ST) in public transportation in the context of energy savings in smart cities. The general strategy and significant ideas in developing ST for smart cities, focusing on deep learning technologies, simulation experiments, and simultaneous formulation, are in progress. This study hence presents simultaneous transportation monitoring and management frameworks (STMF ). STMF has the potential to be extended to the next generation of smart transportation infrastructure. The proposed framework consists of community signal and community traffic, ST platforms and applications, agent-based traffic control, and transportation expertise augmentation. Experimental outcomes exhibit better quality metrics of the proposed STMF technique in energy saving and emissions mitigation for urban travel and public transportation than other conventional approaches. The deployed system improves the accuracy, consistency, and F-1 measure by 27.50%, 28.81%, and 31.12%. It minimizes the error rate by 75.35%.

As the energy consumption of storage systems is grows at a staggering rate, hybrid clusters have gained increasing importance as a potential approach to tackle this challenge. By introducing low-power nodes, data-driven companies like Facebook and Baidu have reduced the energy consumption effectively in their Master/Slave based storage systems. However, the Master/Slave based systems have several typical disadvantages such as low scalabilities and single points of failure. The P2P based systems with high scalabilities utilizes file location algorithms instead of table lookup mechanisms, thus resulting in a problem of how to utilize the different storage nodes discriminatively. In this paper, a hierarchical storage strategy called vnode hierarchical remapping (VHR) is proposed based on ’a P2P distributed system called ZDFS. The strategy guarantees the high scalability and viability of ZDFS, and takes advantage of different storage nodes. Several test cases running on X86 and ARM hybrid clusters are carried out, and the test results demonstrate that the VHR works well, it achieves a good I/O performance and low data access response time while reducing the energy consumption by 44.8%.

In this paper, energy-saving mode of existing buildings of subtropical region has been studied, it analyzes a number of technology, management and financing for energy-saving and other issues of subtropical region. Drawing on experience at home and abroad to study the transformation of energy efficiency experience. Regarding Xiamen as the representative of the region, for the construction of referred energy-saving sector, to provide relevant recommendations to promote energy saving in similar areas of the existing problems.

This paper investigates the influence of the hotel atrium design on energy consumption from an integrated perspective. The computer simulation techniques were used to assess the effects of the SC and passive energy-saving. The simulation results indicate that the effectively design air supply system can perform two major functions, separation and utilize natural air to help reduce refrigeration zone and cooling upper zone. The following case study demonstrates that the integrated method allows the hotel atrium to save energy and maintain comfort in summer season.