17 results about "Bus priority" patented technology

The invention provides a bus signal priority control method considering coordination of a phase deviation state, and belongs to the technical field of vehicle-road cooperation. The method comprises the following steps: constructing an end-side-cloud architecture system for an intersection implementing bus signal priority control, acquiring basic data of the intersection and buses, establishing a signal priority control method considering coordination phase deviation state constraint, and calculating the maximum bus signal priority time of the intersection. And signal timing schemes under different priorities are generated in advance according to the priority time, so that the accuracy and the real-time performance of bus priority execution are ensured. According to the invention, a reliable control means for passing without stopping is provided for buses, interference to social vehicle passing benefits is reduced, the coordination offset time is fully utilized, the success rate of bus signal priority control is increased, the riding experience of passengers can be improved, the energy consumption of the buses can be reduced, and the cost is reduced. The method is of great significance to further development of an urban public transport system.

This invention provides a method, device, terminal, and storage medium for bus priority control at multiple intersections. The method includes: acquiring the approach lane status of each approach lane at each intersection within a target area at the current time, and the traffic light prediction model for each intersection; determining the target bus closest to its current intersection on each approach lane, and acquiring the bus status and bus prediction model for the target bus at the current time; predicting the traffic light phase status of each intersection at the next time based on the approach lane status, bus status, and traffic light prediction model; and predicting the bus acceleration corresponding to each target bus at the next time based on the approach lane status, bus status, and bus prediction model. This application can adjust the traffic light phase status and bus acceleration using traffic light prediction models and bus prediction models in a multi-intersection environment, thereby improving bus traffic efficiency.

This invention discloses a method for implementing priority for multiple bus routes under coordinated control. The method first establishes a bus priority request list, starting with the time a bus approaches the intersection and ending with the time it leaves the stop line. Then, it calculates the expected adjustment value and adjustment stage number for all requesting buses. Next, without disrupting coordination, it calculates the adjustable range for each bus before it reaches the stop line. Finally, with the goal of minimizing the waiting time for all buses at the intersection, and based on the first-come, first-served principle, it adjusts the duration output of the current stage to reduce bus waiting time. This method improves bus operating efficiency while considering the start time and release time of the coordination stage.

The application discloses a high-speed data processing and exchanging method and system based on Zynq UltraScale+MPSoCs, and belongs to the technical field of data processing, and comprises the following steps: generating a nanosecond-level synchronization pulse by using the PL end of Zynq, collecting initial multi-modal data, analyzing transmission rate and integrity by using a double SERDES controller of the PL end, and constructing a dynamic data processing matrix; simulating and optimizing the data stream distribution of the PL end and the PS end by using a preset multi-data granularity scale, and generating an exchanging instruction set; combining an on-chip bus topology, forming a first data exchanging path through DMA-OCM interaction and a hardware accelerator adaptation, obtaining a second data exchanging path through adjustment of sub-channel distribution and bus priority; and writing the running state parameters of the second data exchanging path back to the corresponding data frame state attribute column of the dynamic data processing matrix in real time, so that multi-modal data efficient processing and dynamic optimization are realized, and the system stability and transmission efficiency are improved.

The invention provides a signal and vehicle cooperative intelligent control method and system based on traffic conflicts, and the method employs a double-layer cooperative optimization control architecture: an upper-layer traffic signal control model dynamically adjusts the duration of a green light; according to the lower-layer vehicle track control model, the length of a conflict area is calculated in combination with the maximum braking distance of the vehicle according to traffic conflicts caused by bus entering and exiting, conflict recognition conditions and conflict elimination constraints are provided, and on the basis, the acceleration of a vehicle team pilot vehicle is decided with the fuel consumption and comfort of the vehicle as optimization targets. According to the method, a double-layer optimization control model is solved by adopting dynamic planning, green light duration and vehicle tracks are adjusted in real time in combination with vehicle-road cooperative communication, bus priority passing and safe and orderly avoidance of common vehicles can be guaranteed, average passenger delay and travel time of buses in a conflict area are effectively reduced, and the traffic safety of the buses is improved. The overall oil consumption is reduced; and the intersection passing efficiency is improved.

The invention discloses a bus data distributed file system for vehicle-mounted recording equipment, and relates to the technical field of bus data processing. The bus data distributed file system for the vehicle-mounted recording equipment comprises a fragment feature extraction module, a state fragment feature value extraction module and a driving fragment feature value extraction module, the priority feature extraction module is used for analyzing bus priority feature values of the bus data blocks; the node response extraction module is used for acquiring load data of a to-be-stored node and analyzing a corresponding storage response characteristic value of the to-be-stored node; and the storage adaptation analysis module is used for analyzing the storage adaptation feature value of each bus data block and each to-be-stored node. Node storage is performed on each bus data block through the storage adaptation feature value in the node storage module, so that each bus data block can be allocated to the most suitable to-be-stored node; therefore, the data storage and access efficiency of the system in a complex application scene is remarkably improved, and the reliability of data storage is guaranteed.

This invention belongs to the field of intelligent transportation, specifically relating to a method, system, and device for real-time traffic light timing optimization with bus priority. It ensures bus priority by adjusting the green light duration in real-time at each intersection based on real-time traffic flow. The method includes the following steps: 1. Presetting the intersection's traffic rules, the range of green light control duration, and the traffic light changing sequence, and determining the initial traffic signal phase duration; 2. Monitoring and statistically analyzing vehicle arrival rates in each direction at the intersection using video surveillance equipment; 3. Calculating the average delay time in each direction at the intersection using a modified Webster model; 4. Calculating the total delay time in each direction at the intersection per unit time; 5. Reallocating the initial green light duration based on the total delay time; 6. Extending the green light in a timely manner according to the bus's location to ensure bus passage. This invention solves the problems of traffic light control communication modes being unsuitable for traffic flow changes, having low communication efficiency, and easily causing congestion.

The invention discloses a game and model prediction control-based networked bus priority departure method. The method comprises the following steps of: obtaining motion state information of a bus which is ready to leave a station and related social vehicles; based on the motion state information, constructing a Stackelberg game model which takes an outbound bus as a leader and takes an adjacent social vehicle behind a target lane as a follower, and solving the model to obtain an initial lane changing decision integrating optimal lane changing time and a traffic signal priority strategy; according to the lane changing decision, planning a driving track for the bus, and determining a performance index of the bus; inputting the performance index into a Stackelberg game model, updating a lane changing decision, obtaining an optimal lane changing decision and an optimal driving track under the optimal lane changing decision, and taking the optimal lane changing decision and the optimal driving track as a control scheme for the bus to leave the station preferentially; according to the scheme, high coordination of path planning and control can be realized, so that buses can pass efficiently and safely under complex traffic conditions, and the use efficiency of roads is improved to the maximum extent.

The application provides a kind of intermittent bus lane bus priority control method, the method comprises: obtaining the driving data of intelligent connected vehicle and bus of the road section where current intelligent connected vehicle is located, then determine the lane where current intelligent connected vehicle is located, if current intelligent connected vehicle is in ordinary lane, the number of lane borrowing vehicle on the intermittent bus lane is determined according to the driving data and target limit value, and when the number of lane borrowing vehicle on the intermittent bus lane reaches the target limit value, control current intelligent connected vehicle not to borrow lane intermittent bus lane.The application avoids the situation that the number of lane borrowing vehicle is too much when intelligent connected vehicle borrows lane on intermittent bus lane, which causes the increase of bus delay, and realizes the fast lane changing of intelligent connected vehicle on the road while ensuring the priority driving of bus on intermittent bus lane.

The invention provides a bus signal priority compensation control method and system based on green wave band protection. The method comprises the steps that trunk line green wave coordination parameters are acquired; collecting road traffic information, traffic signal state information and vehicle running state information; judging whether a bus priority triggering condition is met or not according to the collected information; when the trigger condition is met, executing a bus priority strategy, and determining additional phase time increased by the strategy in the current signal period; executing a phase compensation mechanism which specifically comprises the following steps: judging whether a non-coordinated phase has enough compensation capability in a current period; if there is enough compensation capability, compensation of the additional phase time is completed in the current period; and if the compensation capability is not enough, performing partial compensation by using the available compensation time of the non-coordinated phase in the current period, and distributing the residual disturbance time to the subsequent one or more periods to gradually complete compensation. According to the invention, the operation efficiency of buses and the overall traffic capacity of urban traffic are improved.

The application discloses a kind of considering multiple vehicle request conflict's network connection bus signal coordination and speed guidance combined optimization method, the method includes on the basis of actual operation of bus, complete bus priority multi-strategy optimization model is established, considering bus signal priority application conflict, multi-strategy bus operation optimization process is described by system, the delay of considering social vehicle and bus vehicle, to guide the actual driving behavior of bus and intersection signal optimization;On this basis, guide bus to run on bus lane, reduce the time of parking and waiting, improve bus priority efficiency, form a kind of bus signal coordination and speed guidance combined optimization method, to realize the organic combination of bus priority signal-speed guidance-trunk coordination strategy.The application solves the long parking and waiting time caused by the difficulty in processing existing intelligent network connection bus signal priority application conflict, a series of public transport inefficiency problems such as delay of arrival time.

The application relates to the technical field of dual-mode communication, and specifically provides a dual-mode adaptive communication method based on wM-Bus and LoRaWAN and an intelligent meter, which comprises the following steps: configuring and initializing a working mode, wherein the working mode comprises a wM-Bus priority mode, a LoRaWAN priority mode and a dual-link concurrent mode; initializing running parameters for the current working mode, wherein the running parameters comprise wM-Bus running parameters and LoRaWAN running parameters; performing RTC wake-up and checking whether a wM-Bus sending interval or a LoRaWAN network access time is reached; if yes, performing a conflict prevention mechanism sub-process; and adaptively or manually adjusting the working mode according to a LoRaWAN network access state or wM-Bus communication demand. The device can automatically switch to an optimal mode according to an actual scene and link quality, so that the quality of a communication link can be ensured, and redundant power consumption caused by simultaneous work of the dual communication can be avoided.

The invention discloses a bus priority lane changing decision-making method in an intelligent network connection mixed traffic environment, which is applied to an urban trunk road, and vehicles running on the urban trunk road comprise a CAV, an HDV and a bus. According to the bus priority lane changing decision-making method, a mixed traffic flow model considering HDV driving styles and CAV collaborative interaction is constructed, a forced lane changing rule for CAV entering and exiting BPL is formulated, the bus driving state is guaranteed, meanwhile, an improved IDM model is provided, the stability and authenticity of CAV following behaviors and the road traffic capacity are improved, and the traffic efficiency is improved. The bus priority is effectively guaranteed; in addition, the model is closer to actual traffic behaviors, simulation results are more persuasive, strategy adaptability is high, and the method is insensitive to CAV permeability and bus departure intervals.

The application discloses a design method of an intersection main road entrance control strategy in a heterogeneous traffic environment, relates to the field of electronic design automation, and collects intersection road condition information, vehicle information and intersection signal control parameters in real time, sets entrance lane functions according to the road condition information, considers the type difference between manually driven vehicles and automatically driven vehicles in the heterogeneous traffic environment, sets the car-following models of various types of vehicles, sets a bus priority signal control mode based on the speed data of buses arriving at the intersection and the intersection signal parameters, sets the lane-changing models of various types of vehicles and the borrowing and leaving rules of the bus lane according to the driving state of the vehicles, in combination with the lane-changing motivation and safety conditions of the vehicles, adopts a cost-benefit analysis method, sets the triggering mechanism of complete sharing of the bus lane in combination with the intersection traffic operation efficiency and the road resource utilization situation, and forms a complete control strategy. The application can significantly improve the intersection operation efficiency, and the improvement range is not less than 20%.

The application relates to the technical field of traffic management, in particular to an intelligent networked bus priority control method and device for a signal-free intersection, wherein the method comprises the following steps: obtaining the vehicle state of a vehicle driving in an observation area of the signal-free intersection; then inputting the vehicle state into an upper-layer passing time optimization model, taking the weighted sum of bus vehicle delay and non-bus vehicle delay as the target, outputting the vehicle passing time and the recommended passing speed; then inputting the vehicle passing time and the recommended passing speed into a lower-layer trajectory planning model, taking the minimum vehicle energy consumption as the target, outputting the optimized acceleration sequence of each vehicle in the control area of the signal-free intersection, so as to control the vehicles to drive into and drive out of the interlaced area of the signal-free intersection. Thus, the problems that the passing right allocation mechanism of the related art lacks explicit support for the bus priority strategy, and it is difficult to effectively guarantee the bus priority passing in the mixed traffic flow environment and reduce the bus delay are solved.

The invention discloses a multi-core processor memory bandwidth control system based on a miniature LSTM and a hybrid neural network. The system comprises a data acquisition module, a miniature LSTM prediction module, a hybrid neural network decision module, an execution module and a bus port unit. The data acquisition module acquires the state of the processor core in real time; the miniature LSTM prediction module predicts the trend of each core in a future time window; the hybrid neural network decision module generates a dynamic memory bandwidth control strategy; the execution module modifies and configures corresponding ports in real time through the port clock frequency control module, the bus priority control module and the port QoS control module; the bus port unit detects the data transmission state, receives signals from the port clock frequency control module and the port QoS control module, and modifies the port clock frequency and QoS in real time. According to the method, real-time prediction and dynamic optimization of the memory bandwidth of the multi-core processor are realized, and the space-time utilization rate of memory resources is remarkably improved.

The present application belongs to the technical field of traffic signal control, and discloses a bus priority driving control method based on time prediction without special lane, comprising the following steps: S1, obtaining relevant parameters and predicting the time for a bus to reach the start point of a speed guidance area; S2, according to the remaining green light time of a downstream intersection, if the bus cannot pass the downstream intersection without stopping, a bus acceleration guidance strategy and / or a green light extension strategy are executed; S3, according to the remaining red light time of the downstream intersection, if the bus cannot wait for the next signal cycle without stopping, a bus deceleration guidance strategy and / or a red light early break strategy are executed. The present application designs bus priority driving decision mechanisms in various scenarios, providing a reference for improving the service level of urban public transportation.