Abstract: A control method of mixed traffic flow on freeway ramp based on controllable connected and autonomous vehicles (CAVs) is provided. A ramp is divided into a normal driving section, a vehicle platoon formation section and an accelerating and merging section. A vehicle platoon is formed by a leading CAV and human-driven vehicles (HDVs). Time interval [tmin, tmax] for the vehicle platoon to completely reach the merging point S is calculated. CAVs on the main lane and ramp are cooperatively controlled, and a merging gap is reserved for the ramp vehicle platoon. The vehicle platoon is allowed to accelerate and merge into the main lane. By means of the Internet-of-Vehicle (IoV) technology, the traffic situation on the main lane and downstream merging zone can be obtained in advance, and speeds of the CAVs are cooperatively controlled to lead the ramp vehicles to safely merge into the main lane.

Abstract: A method for improving a monitoring capability of a borehole-surface micro-seismic monitoring system includes selecting multiple candidate points for installing surface wireless sensors to form a natural-number-coded candidate point set and combining a fixed number of candidate points randomly selected from the candidate point set with an underground installed sensor set to form a borehole-surface micro-seismic monitoring network; carrying out multiple random selections until a certain scale of borehole-surface micro-seismic monitoring network deployment plans are generated; establishing an evaluation model for a monitoring capability of each borehole-surface micro-seismic monitoring network deployment plan according to a propagation relation equation between a micro-seismic energy and a first-arrival peak amplitude of a P-wave, forming an initial population; determining an optimal borehole-surface micro-seismic monitoring network deployment plan through a genetic algorithm; and determining an optimal surface

Abstract: A model of a system of an intelligent vehicle is trained and optimized using system operation data of the intelligent vehicle in a normal running state. The system operation data of the intelligent vehicle in a running state is collected in real time. Sensor data of the system operation data is de-noised, and feature extraction and screening are performed for a fatal sensor fault to reconstruct the system operation data. The reconstructed system operation data is inputted into the trained model to output system state data of the intelligent vehicle in the running state. The system state data is compared with a set threshold. If the system state data exceeds the set threshold, an actuator corresponding to the system state data is determined to have a fault. In addition, a system for a fault diagnosis of the intelligent vehicle is further provided.

Abstract: A timing alignment method for data acquired by monitoring units of a borehole-surface micro-seismic monitoring system includes acquiring two rock-burst waveform data segments with GPS timestamps; calculating a time difference and a number of sampling points between each pair of adjacent GPS timestamps; adding, on an equal-interval basis, a sampling time to a sampling point missing a timestamp between each pair of adjacent GPS timestamps; calculating average sampling frequencies of the two rock-burst waveform data segments, adding, on an equal-interval basis, a sampling time to a sampling point missing a timestamp except first and last GPS timestamps in each of the two data segments; obtaining sampling times of all sampling points, resampling the sampling times according to a uniform sampling frequency; calculating a rock-burst waveform data segment at a new sampling time with a linear interpolation formula, and aligning the sampling times of the two rock-burst waveform data segments.

Abstract: A smooth cooperative lane change control method for multi-connected and autonomous vehicles (CAVs), including: acquiring vehicle information of a lane-changing vehicle M and four surrounding vehicles A, B, C and D; constructing uncontrolled-vehicle and controlled-vehicle motion state prediction models; according to the motion state prediction models, predicting motion states of the lane-changing vehicle M, and the vehicles A, B, C and D; constructing an upper-layer optimization model to calculate an optimal control value and an optimized motion state of the lane-changing vehicle M and an optimal control value of the vehicle A; constructing a lower-layer optimization model to calculate an optimal control value of the vehicle D; and controlling the lane-changing vehicle M, the vehicle A and the vehicle D to run according to a corresponding optimal control value.

Abstract: The present disclosure provides a physics-based and data-driven integrated method for rock burst hazard assessment, including the following steps: determining an initial stress concentration coefficient by conducting grid discretization on an assessment region, and assigning a value to each of grid nodes using a Weibull distribution function; obtaining a stress concentration coefficient value of each grid node under physics-based models; introducing seismic wave CT detection data to obtain stress concentration coefficient distribution in the assessment region under the integration of a seismic wave CT detection and its derived characterization stress model; introducing microseismic data to obtain stress concentration coefficient distribution in the assessment region under the integration of a microseismic damage reconstruction stress model; and assessing the degree of rock burst hazard according to the size of the stress concentration coefficient value.

Abstract: Provided is a method for berth allocation of a multiline bus station and speed guidance of buses. The intelligent control center sorts all buses between the current station and the previous station to form the BusNumber table, and performs speed guidance for all buses in the BusNumber table. Whether the guided bus can pass through the signalized intersection is determined. The buses that cannot pass through the signalized intersection are guided by acceleration, and those that cannot pass through the signalized intersection by acceleration guidance method update their speeds based on the phase state of signal light, so as to pass through the signalized intersection without stopping in most cases. All buses are conducted through speed guidance methods, and the berths are allocated for all the buses under different conditions.

Abstract: A similar simulation experimental device of hydraulic energy-absorbing roadway support is provided. A similar model is placed in a model box, a roadway is excavated in the similar model, and hydraulic energy-absorbing support devices are placed in the roadway on the periphery of the roadway. Front and rear ends of the hydraulic energy-absorbing support device are connected to supporting plates, left and right sides of the model box are provided with horizontal hydraulic cylinders, and front ends of the horizontal hydraulic cylinders are connected to pressure plates. One or several cushion blocks are placed at the top of the model box, and an upper pressure plate is placed above the cushion block(s). Vertical hydraulic cylinders are installed at both ends of the upper pressure plate. An impact rod passing through the upper pressure plate is placed above the cushion block to apply vertical impact load to the similar model.

Abstract: A model of a system of an intelligent vehicle is trained and optimized using system operation data of the intelligent vehicle in a normal running state. The system operation data of the intelligent vehicle in a running state is collected in real time. Sensor data of the system operation data is de-noised, and feature extraction and screening are performed for a fatal sensor fault to reconstruct the system operation data. The reconstructed system operation data is inputted into the trained model to output system state data of the intelligent vehicle in the running state. The system state data is compared with a set threshold. If the system state data exceeds the set threshold, an actuator corresponding to the system state data is determined to have a fault. In addition, a system for a fault diagnosis of the intelligent vehicle is further provided.

Abstract: Provided is a method for berth allocation of a multiline bus station and speed guidance of buses. The intelligent control center sorts all buses between the current station and the previous station to form the BusNumber table, and performs speed guidance for all buses in the BusNumber table. Whether the guided bus can pass through the signalized intersection is determined. The buses that cannot pass through the signalized intersection are guided by acceleration, and those that cannot pass through the signalized intersection by acceleration guidance method update their speeds based on the phase state of signal light, so as to pass through the signalized intersection without stopping in most cases. All buses are conducted through speed guidance methods, and the berths are allocated for all the buses under different conditions.