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The displacement of the dock wall after excavation is inevitable in the construction of anchor plate pile dock wall structures on soft soil foundations. For composite dock wall structures that use flexible walls such as diaphragm walls and anchor structures, the stress system of the structure is relatively complex, and the working conditions change in each stage of construction, resulting in different displacement trends of the structure. To ensure the requirements for the net width of the dock, the displacement control measures for each stage of the structure were proposed through the analysis of the working conditions and numerical calculation of the displacement of the dock wall and the anchor structure behind the wall. At the same time, the displacement was reserved based on the numerical calculation conclusion. Based on the actual monitoring data of construction, the reliability of numerical calculation was verified synchronously, and then a displacement control technology for docks can be developed for promotion. [ABSTRACT FROM AUTHOR]

Autonomous vehicle technology is poised to revolutionize shared vehicle systems, offering the potential for increased efficiency and convenience. To better devise management strategies for shared autonomous vehicles, this paper addresses a real-time dispatch problem with hybrid requests, where on-demand (immediate) and pre-booked (reserved) trip requests coexist. The coexistence of these two types of request behaviors introduces considerable complexity to real-time dispatch due to the uncertainty in trip demand. We design an approximate dynamic programming (ADP) approach for making vehicle–trip assignments and vehicle relocation decisions. We first formulate the real-time vehicle dispatch problem as a dynamic program and decompose it into time-staged subproblems. To effectively handle the high-dimensional state space, we replace the value functions with tractable approximations and propose a piecewise-linear functional approximation method that captures the spatiotemporal value of vehicles. To calibrate the parameters in the approximations, we propose DualT and DualNext algorithms to provide precise dual information, thereby enhancing the accuracy of our approach. Furthermore, we propose a lookahead strategy that incorporates pre-booked request information into the ADP approach for improving real-time decision-making. We validate the effectiveness of the ADP approach through numerical experiments conducted using taxi data from Brooklyn, New York. The ADP approach outperforms benchmark policies in solution quality while maintaining computational efficiency, and the incorporation of the lookahead strategy significantly enhances the performance of the ADP approach, yielding substantial improvements. Numerical results demonstrate that integrating pre-booked requests into vehicle dispatch management can greatly enhance the system efficiency. • We address a real-time SAV dispatch problem with hybrid on-demand and pre-booked trip requests. • An ADP modeling and algorithmic approach is proposed. • A lookahead strategy is integrated to improve the performance of the ADP approach. • The results demonstrate the potential for pre-booking behaviors to enhance the system efficiency. [ABSTRACT FROM AUTHOR]