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A passively erbium-doped mode-locked fiber laser (EDFL) based on SnSe2 nanosheets saturable absorber (SA) was reported whose central wavelength, 3dB bandwidth, pulse duration and average output power are 1563.4nm, 2.9nm, 276ps and 14.74mw respectively.

Route planning systems in bus networks play a key role in providing a better experience to passengers for public transportation services. The existing systems satisfy the multicriteria in two ways. One way is firstly to find the k-shortest paths, then these paths are compared according to the given multi-criteria to select the ultimate path. Another way is to search for a set of Pareto paths with multi-criteria. However, both of the above systems only consider users' preferences qualitatively but not quantitatively. As a result, they can not integrate multicriteria as a single criterion based on users' quantitative preferences. Therefore, in this paper, a new integrated multi-criteria route planning method is proposed for searching the optimal path in a bus network according to passengers' quantitative references. Multi objectives being considered in this work are arrival time, walking time and number of bus transfers. A set of simulation scenarios is executed to show the performance of proposed new system.

The green light optimal speed advisory (GLOSA) is one of the most important applications in the intelligent transportation systems. The existing GLOSA methods can be used to calculate the advisory speed curve, by which the vehicle can arrive at the intersection in the green phase, for the purpose of reducing the trip time and fuel consumption. However, it can not guarantee that the vehicle could arrive at the intersection with the allowed maximum velocity. Therefore, in this paper, the augmented Lagrangian genetic algorithm (ALGA) is proposed for searching the optimized speed curve in all possible speed curves, according to the minimal fuel consumption and the minimal running time. Moreover, the car following model is employed for handling the multi-vehicles problem. The simulation results indicate that, in free-flow conditions, the optimized value can save fuel consumption by 69.3 percent, save total trip time by 12.2 percent comparing it to the traditional method.

The daily observations of 90 stations in Sichuan basin, between mid-March and early-May, were collected, and Selected the days of that daily average temperature below 12°C, the total days of that daily average temperature continuous below 12 °C for 3-days or more, effective accumulated temperature, precipitation, rainy days, the total days of that continuous precipitation for 3 days or more, sunshine duration, no sunshine days as impact factor, using Analytical Hierarchy Process (AHP) to construct risk analysis model, and finally got the spatial distribution of spring low temperature and overcast rainy in Sichuan basin, the results of research might lead to the following conclusions. The high risk region mainly in western mountain areas around the basin and the parallel Ridge Valley of the northeast basin, higher altitude and susceptible to cold air were the important reason for higher risk, while the hilly areas in the mid-basin were lower risk. And then, discussed the risk damage of rice suffered spring low temperature and overcast rainy, and proposed targeted suggests.