Synthesis, Structure and Properties of Tren-Schiff Base Compound and Its Manganese(III) Complex by Original Self-assembly Reaction

The new self-assembly tripodal hexadentate Schiff base compound, C27H30N4O3, derived from tris（2-aminoethyl）amine（tren） with salicylaldehyde and its manganese（Ⅲ） complex [（C27H27N403）Mn].CH3OH（1） were designed and synthesized by original self-assembly reaction at room temperature in the solution of methanol. Both the compounds were characterized by elemental analysis, IR spectrometry, UV-Vis spectroscopy and X-ray single crystal diffraction. It is noteworthy that the tripodal hexadentate Schiff base ligand effectively encapsulates the manganese（Ⅲ） ion and enforces a six-coordinate geometry in complex 1 with the apical nitrogen atom of tren-Schiff base remaining unbound to the metal. It is found that there are several intra-molecular hydrogen bonds in them（C-H…O and O-H…N）. In addition, quantum chemistry calculations were also performed and discussed in detail. These results are consistent with the structural analyses of them.

自动驾驶车辆混入下的货车专用车道设置条件评价方法

针对自动驾驶车辆混入下公路货车专用车道设置方式的选取,建立了基于路网车均延误的专用车道设置条件评价方法,利用微观交通仿真软件VISSIM验证了方法的有效性,分析了多种专用车道设置方式对不同交通流条件的适应性。首先,综述了多因素影响的公路货车专用车道的设置方式,明确将专用车道使用对象作为重点分析要素。其次,建立了以交通量水平、货车占比和自动驾驶渗透率为自变量,以路网车均延误为因变量,体现不同车型间相互影响的专用车道设置条件评价模型。最后,以典型的单向四车道路段为例,构建了自动驾驶货车、人工驾驶货车、自动驾驶客车和人工驾驶客车组成的混合交通流,验证了评价模型的有效性,分析了各项变量对路网车均延误的影响趋势,比选得出了不同交通流条件下最优的专用车道设置方式。结果表明:通过与多元线性模型和对数回归模型进行对比分析发现,建立的评价模型对自动驾驶专用车道和无专用车道的车均延误的评价效果最优;在剔除严重失效条件下的数据后,建立的评价模型对货车专用车道的评价效果仍为最优,证明了评价方法的有效性。研究结果可为规范公路交通秩序、提高路网通行效率及混入自动驾驶车辆的公路交通组织与管理提供参考。