8results about How to "Ensure traffic efficiency" patented technology

The invention discloses a method for controlling running of a networked vehicle at a non-signal-lamp intersection by considering an input constraint, which solves the challenge confronted when an automatic driving vehicle safely and cooperatively passes through the non-signal-lamp intersection under the input constraint, and comprises the following steps: obtaining real-time state information and roadside environment information of the vehicle; establishing a vehicle dynamics model considering input constraints; a geometric topological structure is developed to model the passing relation of vehicles, then the communication topology of information exchange between the vehicles is defined, and the problem of vehicle coordination at the intersection is converted into the problem of consistency of conflicting vehicles through state conversion; a distributed control method is designed, and the global consistency and stability of the vehicle cooperative control system are ensured; and finally, a time-based triggering mechanism is provided, so that the vehicle passing efficiency and the driving safety are improved, and the operation load of the system is reduced.

The invention discloses a station suitable for superconducting maglev rail transit, and belongs to the technical field of high-speed maglev, the station comprises a main line layer and a platform layer, the main line layer comprises a station main line, and the station main line comprises a through main line maglev rail non-turnout zone and a through main line maglev rail turnout zone; the through main line maglev track turnout zone comprises a layered turnout, and the layered turnout comprises an upper layer main line and a lower layer side strand; a second ultrahigh-speed magnetic levitation track is arranged in the upper-layer main line; an adjustable supporting mechanism is arranged between the upper-layer main line and the lower-layer side strand; the platform layer comprises a platform area and a throat area, and the throat area comprises a station line maglev track and a low-speed turnout; the platform area comprises an arrival-departure line magnetic levitation track and two platforms; the arrival-departure line maglev track is communicated with the station line maglev track and the lower-layer side strand of the layered turnout, and the platform is arranged on one side of the arrival-departure line maglev track. According to the station provided by the invention, the superconductive maglev train can slowly enter the platform area, so that personnel can conveniently transfer, and the train can quickly cross the station.

The present invention belongs to the field of road vehicle control and relates to the judgment or calculation of driving parameters of a road vehicle driving control system. Specifically, it relates to a method for calculating the drivable interval of a bus and a carpool shared lane based on utility selection. The method establishes a utility selection function based on carpool vehicles and constructs a probability selection model of carpool vehicles and a calculation model for the length of the drivable interval. When calculating the length of the drivable interval, the differences in traffic demand in different time periods are considered. The method can scientifically and reasonably dynamically adjust the length of the drivable interval of the bus and carpool shared lane to adapt to different traffic flow states, avoid local congestion caused by unreasonable interval settings, ensure the rationality of resource allocation of the bus and carpool shared lanes, and optimize the utilization efficiency of the shared lanes.

The invention belongs to the related technical field of vehicle route planning and vehicle scheduling, and particularly relates to an unmanned logistics vehicle route conflict scheduling method and device under a route network structure. The V2X vehicle-mounted terminal is used, the vehicle can obtain the information of the vehicle in real time, real-time vehicle end scheduling is achieved, through the road network structure, the locking route, the locked route and the use of the stations, the efficiency of multi-vehicle passing can be improved between vehicles in narrow road sections and single-vehicle passing road sections, blockage is avoided, and meanwhile due to the fact that the road network structure is used, the traffic safety of the vehicles is improved. And corresponding road network relationships can be made for different environments, so that the usability of a program is improved.

The present invention provides an automatic driving decision-making method and system considering occlusion uncertainty, including: obtaining self-vehicle state information and environment vehicle state information; wherein, a virtual vehicle is introduced into the environment vehicle corresponding to the self-vehicle; based on the obtained state information of the self-vehicle and the environment vehicle, a multi-frame fusion module is used to obtain the state embedding of the self-vehicle and the state embedding of the environment vehicle containing time information; and based on the state embedding of the self-vehicle and the state embedding of the environment vehicle, a key vehicle selection module based on a cross-attention mechanism is used to obtain global state features; based on the obtained global state features, a pre-trained reinforcement learning model based on value distribution is used to obtain vehicle output actions, so as to realize automatic driving decision of the self-vehicle.

This application relates to the technical field of barrier gate control, specifically providing a barrier gate anti-collision control method and related equipment based on a dynamically expandable protective zone. The method includes: acquiring point cloud data of targets within the barrier gate's passage area; analyzing the target's current position and motion information based on the point cloud data to analyze relative position and motion relationships; expanding or contracting a baseline protective zone based on the relative position and motion relationships to form a dynamically expandable protective zone adapted to the target; tracking the target's trajectory within the dynamically expandable protective zone to obtain the target's passage status; determining whether the passage status meets preset anti-collision conditions; and generating a control signal to control the barrier arm to perform a lowering action when the preset anti-collision conditions are met. This solution overcomes the problem that in complex scenarios, fixed protective zones are difficult to adapt to the dynamic behavior of different targets, leading to misjudgments or delayed control.

The invention relates to an intelligent traffic scheduling optimization method based on cloud-side cooperative computing, and belongs to the field of computer systems based on a specific computing model, and the method comprises the steps: monitoring each part of previous data corresponding to each previous day through a side end monitoring device above the foremost end of a set road section; a far-end cloud analysis device is used for intelligently predicting the total number of left-turning passing vehicles, the total number of straight-going vehicles and the total number of passing electric bicycles at the foremost end of a set road section in a fixed time interval of the day by adopting an intelligent traffic prediction model; and dynamic optimization of an intelligent traffic scheduling strategy in a fixed time interval of the day is realized based on an intelligent prediction result. According to the invention, various basic data screened in a targeted manner can be introduced, and the intelligent traffic prediction model with a customized structure is adopted to predict the traffic data of various vehicles in a future time interval, so that a corresponding traffic scheduling optimization strategy is formulated, and the utilization rate of limited lane resources is improved.

A clutch-type self-locking barrier gate mechanism includes a mechanism mounting plate; a main shaft comprising a rotating handle, an A-axis section, a coupling, and a B-axis section arranged sequentially along the same axis; a gate arm fixedly connected to the B-axis section and extending radially along the B-axis section; a power transmission mechanism connected to the A-axis section to drive the A-axis section to rotate; and a balancing mechanism including a balance arm and a tension spring. The balance arm is fixedly connected to the B-axis section and extends radially along the B-axis section. During the gate arm raising process, the tension spring provides a positive force for the rotation of the B-axis section, and during the gate arm lowering process, the tension spring provides a reverse force for the rotation of the B-axis section. This clutch-type self-locking barrier gate mechanism, with the tension spring providing both action and reaction forces during the raising / lowering of the gate arm, ensures the smooth operation of the gate arm, thus increasing its service life and reducing maintenance costs. Furthermore, the smooth operation reduces operating noise and improves the user experience.