27,541 research outputs found
Impact of large-scale activities on macroscopic fundamental diagram: Field data analysis and modeling
No full textLarge-scale activities always have serious impacts on regional traffic states. It is necessary for traffic planners to investigate the characteristics of network traffic flow under large-scale activities and apply proper management strategies. In this paper, based on the field data in Tianjin, China, the impact of large-scale activities and the corresponding control strategies on regional Macroscopic Fundamental Diagram (MFD) and regional traffic states are analyzed. The study area is divided into the inner area and the outer area. Based on the work of Haddad (2012) on the traffic perimeter control in two-region, a dynamic model is calibrated by the empirical data in Tianjin to study the influences of activities and control strategies. Based on the calibrated model, different control strategies are simulated to investigate the impacts on regional traffic flow. The results show that decreasing the transfer flow from the outer area will alleviate the congestion in the inner area effectively, and increasing the system outflow will reduce the densities of both two areas effectively. When the traffic states are already congested, the real control strategies cannot alleviate the congestion of the regional network effectively. According to the various impacts of different strategies, combined control strategies are proposed to mitigate the adverse impact of large-scale activities on the surrounding area.This work was partially supported by the National Natural Science Foundation of China (Grant No. 71771012, No. 71961137008, No. 72171018, and No. 71931002). The author would like to thank the anonymous reviewers for their valuable comments on the paper
An Optimal Real-time Pricing Algorithm for the Smart Grid: A Bi-level Programming Approach
Full text linkThis paper proposes an improved approach to our previous work [meng2012stackelberg]. [meng2012stackelberg] uses Stackelberg game to model the interactions between electricity retailer and its customers and genetic algorithms are used to obtain the Stackelberg Equilibrium (SE). In this paper, we propose a bi-level programming model by considering benefits of the electricity retailer (utility company) and its customer. In the upper level model, the electricity retailer determines the real-time retail prices with the aim to maximize its profit. The customer reacts to the prices announced by the retailer aiming to minimize their electricity bills in the lower level model. In order to make it more tractable, we convert the hierarchical bi-level programming problem into one single level problem by replacing the lower lever's problem with his Karush–Kuhn–Tucker (KKT) conditions. A branch and bound algorithm is chosen to solve the resulting single level problem. Experimental results show that both the bi-level programming model and the solution method are feasible. Compared with the genetic algorithm approach proposed in work [meng2012stackelberg], the branch and bound algorithm in this paper is more efficient in finding the optimal solution
Cosmic e(+/-)s, (p)over-bars, gamma s, and neutrinos in leptocentric dark matter models
No full textDark matter annihilation is one of the leading explanations for recent cosmic e(+/-) excess observations by PAMELA, ATIC, FERMI-LAT, and H. E. S. S. Any dark matter annihilation model proposed to explain these data has to comply with the fact that PAMELA data show excesses only in e(+/-) spectrum but not in antiprotons. It is interesting to ask whether the annihilation mode into antiprotons is completely disallowed or just suppressed at low energies. Most proposed models have negligible antiprotons in all energy ranges. In this work we investigate the leptocentric U(1)(B-3Li) dark matter model, and show that this model can explain the e(+/-) excesses with suppressed antiproton mode at low energies. But at higher energies there are sizable antiproton excesses. Near future data from PAMELA and AMS02 can provide crucial tests for this type of model. Cosmic gamma ray data can further rule out some of the models. We also show that this model has interesting neutrino signatures.Astronomy & AstrophysicsPhysics, Particles & FieldsSCI(E)6ARTICLE6null8
Supplementary_information_191009 – Supplemental material for Identification of Novel Compounds Enhancing SR-BI mRNA Stability through High-Throughput Screening
No full textSupplemental material, Supplementary_information_191009 for Identification of Novel Compounds Enhancing SR-BI mRNA Stability through High-Throughput Screening by Xiao-Jian Jia, Yu Du, Hua-Jun Jiang, Yong-Zhen Li, Yan-Ni Xu, Shu-Yi Si, Li Wang and Bin Hong in SLAS Discovery</p
Parameters in a class of leptophilic dark matter models from PAMELA, ATIC and FERMI
No full textAbstractIn this work we study a class of leptophilic dark matter models, where the dark matter interacts with the standard model particles via the U(1)Li−Lj gauge boson, to explain the e± excess in cosmic rays observed by ATIC and PAMELA experiments, and more recently by Fermi experiment. There are three types of U(1)Li−Lj models: (a) U(1)Le−Lμ, (b) U(1)Le−Lτ, and (c) U(1)Le−Lτ. Although ATIC or Fermi data are consistent with PAMELA data separately, ATIC and Fermi data do not agree with each other. We therefore aim to identify which of the three models can explain which data set better. We find that models (a) and (b) can give correct dark matter relic density and explain the ATIC and PAMELA data simultaneously recur to the Breit–Wigner enhancement. Whereas model (c) with a larger Z′ mass can explain Fermi and PAMELA data simultaneously. In all cases the model parameters are restricted to narrow regions. Future improved data will decide which set of data is correct and also help to decide the correct dark matter model
How does dynamic pricing affect customer perceived fairness across product necessities?
Full text linkMasteroppgave(MSc) in Master of Science in Strategic Marketing Management - Handelshøyskolen BI, 202
How environmental conditions impact mosquito ecology and Japanese encephalitis: An eco-epidemiological approach
No full textAbstract not availableHuai-Yu Tian, Peng Bi, Bernard Cazelles, Sen Zhou, Shan-Qian Huang, Jing Yang, Yao Pei, Xiao-Xu Wu, Shi-Hong Fu, Shi-Lu Tong, Huan-Yu Wang, Bing X
Plant Uptake of Atmospheric Brominated Flame Retardants at an E-Waste Site in Southern China
No full textFree and bound polybrominated diphenyl ethers and tetrabromobisphenol A in freshwater sediments
No full textBrominated Flame Retardants in Children's Toys: Concentration, Composition, and Children's Exposure and Risk Assessment
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