18results about How to "Increase traffic flow" patented technology

The invention relates to a cloud side-end integrated collaborative digital-intelligent traffic collaborative management and control method, system and device and a medium, and the method comprises the steps: dynamically adjusting the main line speed limit and ramp control rate through driving main line variable speed limit and traffic induction collaborative management and control based on a hierarchical control architecture, so as to enable the performance of a regional road network to be optimal; a collaborative optimization framework is constructed and utilized under a hierarchical control framework, an optimal control scheme of a single ramp is expanded to each partition of a road network in a random environment, and an optimal joint behavior strategy and a behavior selection strategy of each agent are determined, so that adaptive collaborative control of each agent is realized; and a traffic flow optimal equalization strategy of the whole road network is obtained. Therefore, by integrating a main line variable speed limit and traffic induction collaborative management and control technology, a main line and multi-ramp collaborative optimization framework and intelligent agent configuration, optimization of regional road network performance, optimal balance of overall road network traffic flow and improvement of traffic management and control accuracy and response speed are achieved.

The invention discloses a rotary grille decontamination machine with a sundry interception function for sewage cleaning, relates to the technical field of sewage treatment, and aims to solve the problem that suspended solids are still suspended in a rubber brush cleaning mode depending on unidirectional reverse operation. The device comprises a pair of racks arranged in a diversion canal, the racks are arranged in the water inlet direction in a spaced mode, and a plurality of intercepting assemblies are evenly installed between the racks; through the arrangement of the short brush and the long brush which are matched with each other in reverse rotation and non-directional rotation, multi-directional impurity removal of the rake teeth in the rotation process can be achieved, the backwashing effect is synchronously provided, and the situation that suspended solids enter sewage again and then block normal operation of the sewage impurity removal work process is reduced; the dirt remover can be arranged in the water inlet direction of the diversion canal in parallel, so that the sewage is intercepted by the intercepting assemblies which continuously rotate on the two sides and then is discharged through the notches on the two sides, the sewage passing flow in the single sewage impurity removal process is increased, and the sewage treatment efficiency is improved.

The present invention relates to the technical field of parking space planning, and discloses a scene monitoring and control system used in a multimodal park. The system comprises the following key steps: generating a park set by acquiring the number of partitions of the park, realizing comprehensive monitoring and management of parking spaces in the park, using a parking space detection sensor to monitor the occupancy status, position and number of parking spaces in real time, setting a parking capacity threshold, ensuring that there are enough parking spaces for vehicles in the park in any time period, setting a monitoring time period T through a time recording unit and a vehicle counter unit, accurately acquiring the inflow and outflow in each time period, and then calculating the net flow to evaluate the parking demand of the park, and executing a vehicle parking strategy according to the inflow and the parking capacity threshold, including a low inflow strategy, a high inflow strategy, a normal parking strategy and an allocated park strategy, to adapt to the parking demand of vehicles in different time periods and under different flow conditions.

The invention relates to the field of expressway traffic management, in particular to an expressway congestion state detection method based on multi-source data fusion, which integrates data of a vehicle detector, an ETC (electronic toll collection) system, an Gade map and the like of a to-be-detected road section, accurately extracts traffic congestion characteristics by using a data analysis technology, and obtains a traffic congestion state through an efficient data fusion strategy. According to the invention, the road network service capability is enhanced, the real-time and consistent perception of the traffic state is realized, the traffic management efficiency is obviously improved, the traffic flow is optimized, the congestion is reduced, the travel experience of a driver is improved, and the highway traffic management efficiency is improved.

The invention, which relates to the technical field of intelligent traffic signal control, discloses a method and system for controlling a vehicle meeting signal lamp in an auxiliary crossing tunnel, comprising the following steps: moving a sensor and a signal lamp to corresponding positions, installing a control cabinet, and laying a cable; testing the action response of the signal lamp, and adjusting the signal system logic according to the sequence of entering and exiting vehicles; and carrying out quality acceptance on system installation, and carrying out system debugging. The method improves the installation quality and operation and maintenance efficiency of the system, ensures that the signal lamp system can make a correct response according to the real-time traffic condition, improves the adaptability and flexibility of the signal lamp control system, improves the traffic smoothness, reduces the traffic accident risk, and improves the safety of the system. The signal lamp control system ensures that the performance and the reliability of the whole signal lamp control system reach expected standards, ensures that all equipment is correctly installed, firmly connected and easy to identify and maintain, further ensures the stable operation of the signal lamp control system, improves the overall performance of the system, prolongs the service life of the system, and reduces the maintenance cost.

The present invention relates to the field of highway control technology, and more specifically, to a method and system for managing variable speed limits on highways based on real-time traffic flow. The solution includes deploying sensors and monitoring equipment along the highway to collect traffic flow and vehicle speed in real time; cleaning and preprocessing the collected data to remove abnormal values ​​and noise; obtaining road design standards and historical communication data to calculate the optimal speed limit value; calculating the speed limit value and publishing it to the driver through a variable speed limit sign and an electronic display screen; continuously monitoring changes in traffic flow and the reduction of accident rates, and providing traffic feedback control parameters based on feedback; and performing online real-time control based on the traffic feedback control parameters to update the optimal speed limit value. The solution realizes variable speed limit management of highways with real-time traffic flow through continuous online optimization of the optimal speed limit prompt.

The invention discloses an automatic driving electric vehicle charging optimization access method and system considering remote charging, and the method comprises the steps: building a charging optimization access model of an automatic driving electric vehicle for an electric power-traffic coupling network, considering the remote charging of the automatic driving electric vehicle, and taking the minimization of the comprehensive charging cost of the automatic driving electric vehicle as a target; and solving the charging optimization access model of the automatic driving electric vehicle to obtain a charging optimization access scheme including a charging facility optimization configuration scheme of the automatic driving electric vehicle and a charging optimization strategy of the automatic driving electric vehicle in an idle period. According to the method, photovoltaic output is integrated into the charging optimization access model of the automatic driving electric vehicle for the commuting type automatic driving electric vehicle with the daily travel rule, the charging time and place of the automatic driving electric vehicle in the idle period are guided, the power flow and the traffic flow of the power distribution network are optimized, and meanwhile the charging efficiency is improved. The comprehensive charging cost of the automatic driving electric vehicle is reduced, and the on-site consumption capability of new energy is improved.

The application discloses a highway cooperative decision safety driving method, comprising the following steps: S1, acquiring vehicle end sensing information and road end sensing information and performing information fusion; S2, establishing a plane rectangular coordinate system, and establishing a speed potential field, a lane potential field, a road boundary potential field and a solid obstacle potential field on a road surface according to the fused sensing information; wherein the speed potential field enables a vehicle to travel at a set expected speed, the lane potential field enables the vehicle to travel in a current lane, the road boundary potential field enables the vehicle to travel away from a road boundary, and the solid obstacle potential field enables the vehicle to travel away from a solid obstacle; S3, a traveling vehicle is affected by a total potential field formed by superposition of the speed potential field, the lane potential field, the road boundary potential field and the solid obstacle potential field, and target accelerations of the vehicle in a driving direction and a transverse direction are obtained according to a potential field intensity gradient of the total potential field at a vehicle position in the driving direction and the transverse direction; and S4, the vehicle travels according to the target accelerations in the driving direction and the transverse direction.

The invention relates to the field of digital twinning, in particular to a digital twinning city internet of things data integration and processing system, which comprises an average speed determination module for determining the actual average passing speed according to the pedestrian and vehicle passing condition of a first to-be-passed group within the initial green light duration; the temporary duration determination module is used for determining the temporary green light duration of the to-be-passed group according to the actual passing average speed and the passenger-vehicle proportion of the second to-be-passed group; the statistics module is used for carrying out statistics on the actual passing number of the to-be-passed group in the temporary green light duration and determining the actual passing speed of the to-be-passed group; the target duration determination module determines the target green light duration of the third to-be-passed group based on the position of the passing target in the third to-be-passed group and the actual passing speed, the data integration module integrates the target green light duration into unified data, the data is connected to the background through the Internet of Things technology, and when the target green light duration is abnormal, the target green light duration is abnormal. The signal lamp position is determined through positioning. And the safety of the traffic management system is enhanced.

The invention provides an implementation method for detecting continuous lane change of a vehicle, which comprises the following steps of: carrying out integral processing on an average value of stored and acquired yaw angle and Z-axis angular velocity data, and solving integral change of the average value; whether the integral change value of the Z-axis average value exceeds a preset lane changing angle threshold value or not is judged, if yes, it is judged that the vehicle changes the lane, and when it is detected that the vehicle changes the lane, a double linked list node is created, the time node of vehicle lane changing is stored, and meanwhile whether current lane changing is first lane changing or not is checked; and when it is detected that the vehicle continuously changes lanes for three times in a short time, the time difference between the current lane change and the first lane change is calculated, and if the time difference is smaller than or equal to a preset threshold value, it is judged that the vehicle has a frequent lane change behavior. The driving track of the vehicle can be tracked in real time, accurate detection of the continuous lane changing behavior of the vehicle is achieved, and whether a driver has the abnormal driving behavior of frequent lane changing or not is further judged.

The application provides a traffic flow cooperative multi-vehicle path planning and scheduling method, device, equipment and medium, and relates to the technical field of automatic driving path planning and scheduling. The method comprises the following steps: acquiring positioning sequences of multiple online vehicles, constructing lane segment passing samples and connection segment waiting samples according to the positioning sequences, and counting passing time statistical values of each lane segment and waiting time statistical values of each connection segment; in response to a path request, generating a main path and asynchronously generating a candidate path set with differences; at a periodic decision time, determining a current path of each vehicle and a path cost of each candidate path based on the statistical values, and determining a benefit value of each candidate path according to a comparison result of the path cost; according to the benefit value and a preset switching condition, selecting a candidate path to be switched according to a single-period maximum switching ratio, and updating the candidate path to the current path of the corresponding vehicle, thereby effectively improving the problems of local congestion and secondary congestion caused by independent decision-making of vehicles and lack of cooperative mechanism.

The invention discloses a vehicle abnormal behavior early warning method, device and equipment, and relates to the technical field of traffic. The vehicle abnormal behavior early warning method disclosed by the invention comprises the following steps: according to vehicle real-time operation information and real-time signal lamp information, determining whether a vehicle at an intersection is not started after a green light is turned on; under the condition that the vehicle is not started after the green light is turned on, the road condition in front of the vehicle is determined according to the vehicle real-time video stream; and responding to a road condition in front of the vehicle to trigger an early warning condition, and sending an early warning prompt to the vehicle. According to the scheme, intersection congestion can be relieved, the traffic fluency of the intersection, namely the traffic fluency near the intersection, can be improved, a driver can be reminded to concentrate attention, traffic potential safety hazards are reduced, and the possibility of accidents is reduced.

The utility model discloses a Chinese style ancient building garden style canopy supporting frame, and relates to the technical field of garden architecture.The Chinese style ancient building garden style canopy supporting frame comprises a bottom table and a supporting mechanism, the supporting mechanism is arranged on the outer side of the bottom table, and the supporting mechanism comprises a supporting assembly arranged on the outer side of the bottom table; the first supporting mechanism is composed of a supporting assembly on the outer side of the bottom table, the canopy assembly is lifted to a proper height through combination of a supporting base and a supporting column, meanwhile, the interior of the bottom table is shielded, the overall attractiveness and practicability are enhanced, the stability of the canopy in severe weather is guaranteed through stable connection of the supporting mechanisms, and the service life of the canopy is prolonged. In addition, the design of the canopy allows the space below the canopy to be effectively utilized, for example, a rest area or an ornamental area is arranged, the multifunctionality of the canopy is improved, and on the whole, the supporting mechanism not only guarantees the safety of a user, but also enables the canopy supporting frame to be practical and harmonious in a garden through the exquisite design of the supporting mechanism.

The invention discloses a bus queue cooperative control method and system based on spring-damping mechanism connection, and relates to the technical field of vehicle formation configuration, communication and control, and the method comprises the steps: building a transverse dynamic model through an overall model of a bus queue system configuration connected by a spring-damping mechanism; calculating the historical trajectory curvature of the front vehicle and the current trajectory curvature of the rear vehicle based on the transverse dynamics model, and designing the feedforward input and the feedback input of the rear vehicle; and designing a controller of the following vehicle of the two bus queues by using the feedforward input and the feedback input of the rear vehicle, and realizing cooperative control of the two bus queues based on spring-damping mechanism connection. The two buses of the same system are connected through the spring-damping mechanism, the flexibility and cost performance of connection of the two buses are increased compared with hinged buses while the traffic flow is increased, the communication reliability of the bus queue can be improved compared with a wireless communication bus queue, and the drivability of the bus queue of the two buses can be effectively improved.

The invention discloses a multi-vehicle cooperative control method and system based on edge and center cloud combined computing. The system comprises an unmanned driving module and an external module. An environment sensing module, a decision planning module, a vehicle-mounted communication module and a control execution module are arranged in the unmanned driving module; an edge computing cloud module and a central cloud computing module are arranged in the external module; the decision planning module is connected with the environment sensing module, the vehicle-mounted communication module and the control execution module. The edge computing cloud module is connected with the central cloud computing module; the edge computing cloud module and the central cloud computing module are respectively connected with the decision planning module and the environment sensing module through the vehicle-mounted communication module; and the environment sensing module is also connected with the control execution module. The real-time performance, the communication efficiency and the system stability of the multi-vehicle unmanned driving system can be improved, and meanwhile the cost is reduced.

The invention provides an inter-vehicle communication optimization method and device, and the method comprises the steps: detecting a real-time traffic environment through a vehicle-mounted sensor on a target vehicle in an automatic driving process of the target vehicle; when it is judged that detouring is needed according to the real-time traffic environment, vehicle information sent by surrounding vehicles is received through a C-V2X vehicle-mounted communication module on the target vehicle; according to the real-time traffic environment and the vehicle information, determining a real-time traffic condition and a surrounding vehicle state; determining an optimal communication strategy by using a QMIX algorithm according to the real-time traffic condition and the surrounding vehicle state; and dynamically optimizing the communication network of the target vehicle according to the optimal communication strategy. According to the method and the device, the communication network can be adaptively optimized according to the real-time traffic environment and the driving requirement, invalid communication and redundant information transmission are reduced, and the communication efficiency of the whole vehicle network is remarkably improved.

The invention discloses a gradient-speed-reduction-based vehicle speed guide control method for a highway reconstruction and expansion traffic keeping area, and relates to the technical field of intelligent traffic safety, and the method comprises the steps: obtaining a road traffic keeping scheme of a reconstruction and expansion traffic keeping section, setting a detector and an intelligent road side device RSU, and vehicle information of passing vehicles is acquired in real time and is connected to the high-speed server base station. And according to the vehicle running speed, the rear-end collision threshold value of the rear vehicle and the braking distance, the speed preset value and the section length of gradient speed reduction are determined. According to the vehicle speed guiding method, voice broadcasting and vehicle speed guiding are carried out on a driver with vehicle-mounted equipment, mobile equipment communication prompting is carried out on a driver without the vehicle-mounted equipment, the driver is guided to reduce the speed through multi-level gradient, traffic accidents caused by temporary braking behaviors at a ramp exit of a traffic keeping road section can be effectively avoided, and the driving safety is improved. And safe passing of the reconstruction and extension road section is ensured.

The invention provides a tunnel safety prompting system and method based on real-time vehicle speed, and belongs to the technical field of driving safety guidance. The tunnel safety prompting system comprises a vehicle speed information prompting screen arranged outside a tunnel entrance, a first group of vehicle speed detection equipment arranged on a detection support outside the tunnel entrance, and a second group of vehicle speed detection equipment arranged on a detection support outside the tunnel entrance; the vehicle sensors are arranged on the two sides of a road between the outside of the tunnel entrance and the tunnel entrance in a partitioned mode, the second set of vehicle speed detection devices are arranged at a plurality of positions inside and outside the tunnel respectively, the lane changing acousto-optic warning indicator is arranged on the outer wall of the tunnel, and the second vehicle information processor is arranged on the wall of the tunnel entrance; the first vehicle information processor is arranged on a tunnel entrance wall body; according to the invention, acousto-optic guidance can be carried out on vehicles which do not change lanes in time, the speed difference between the vehicles can be reduced by carrying out optimal speed prompt on the vehicles entering the tunnel in advance, meanwhile, the driving influence caused by a black hole effect when the vehicles enter the tunnel is reduced, and traffic accidents are effectively avoided.