38results about How to "Ease traffic pressure" patented technology

The invention relates to the technical field of smart city traffic, in particular to a smart city traffic indication system and a working method thereof. According to the technical scheme, the system comprises a multi-source heterogeneous data acquisition module, a data preprocessing and fusion module, a feature extraction and analysis module, a traffic flow prediction and signal timing decision module and a signal display and communication module, the acquisition frequency is dynamically adjusted according to the traffic flow. Traffic and meteorological data are dynamically collected through multiple types of sensors, the quality of data preprocessing and fusion is guaranteed, features are accurately extracted, signal timing is optimized through reinforcement learning, the display and communication module effectively transmits information and cooperates with surrounding traffic, emergency situations can be dealt with, tail gas emission is reduced, pedestrian waiting time is shortened, and traffic safety is improved. And a basis can be provided for long-term traffic planning, and the traffic efficiency, the environmental protection property and the pedestrian friendliness are comprehensively improved.

The invention relates to the technical field of intelligent traffic, in particular to a vehicle driving path control system and method based on intelligent traffic big data, and the method comprises the following steps: a, collecting the traffic data of the real-time position, the road traffic flow and the congestion condition of a vehicle through a real-time traffic data collection module; b, analyzing the historical traffic data through a big data analysis and prediction module, and predicting peak periods, accident risk areas and traffic bottleneck points; according to the invention, through dynamic acquisition and big data analysis of real-time traffic data, the peak period and the congestion area can be accurately predicted, so that the driving path of the vehicle is optimized, congestion is reduced, in addition, through intelligent regulation and control of a signal lamp and a freight vehicle shunting mechanism, the system avoids interference of freight vehicles to public transportation in the peak period, and the traffic safety is improved. The road traffic efficiency is improved, the system also provides real-time path adjustment suggestion and early warning service, and more convenient and safer travel experience is provided for drivers.

The embodiment of the invention discloses a multi-lane shunting management and control method, equipment and a medium, is applied to the technical field of intelligent traffic, and is used for solving the problem that an existing shunting mode is low in efficiency and low in accuracy. The method comprises the following steps: dividing monitoring sub-regions based on road network data, and determining topological connection data of each sub-region by using historical vehicle driving data; and identifying target traffic characteristics of each sub-region through clustering analysis, and determining a corresponding shunting traffic region according to the target traffic characteristics. And identifying the current congested road section and the congested direction according to the real-time vehicle driving data, and formulating a shunting strategy in combination with the condition of the shunting traffic area. And inputting the passing speed of the current congested road section, the driving data of the shunting traffic area and the shunting strategy into a preset flow prediction model, and outputting and adjusting the shunting strategy according to the model to realize dynamic shunting management and control.

The invention relates to the technical field of inter-city cargo splicing and loading, in particular to an inter-city cargo splicing and loading transportation path optimization algorithm based on large model optimization, and solves the problems that in the prior art, an optimization algorithm based on a large model generally relates to a complex calculation process and needs a large amount of calculation resources and time, and especially in a real-time path planning scene, the calculation process is complicated. And the calculation delay can influence the transportation efficiency. The invention discloses an inter-city cargo splicing transportation path optimization algorithm based on large model optimization. The algorithm comprises data collection and preprocessing, model construction and training, algorithm optimization and verification, path optimization calculation, result evaluation and feedback, and algorithm deployment and application. According to the method, various possible transportation paths are analyzed and compared through an algorithm, the optimal path is selected, unnecessary detour and waiting time is reduced, so that the transportation efficiency is improved, and the algorithm can perform intelligent scheduling and reasonable arrangement of transportation vehicles and routes according to real-time traffic conditions, cargo demands, vehicle states and other information.

The invention discloses a capacity expansion management and control method for predictable easily-congested road sections, and relates to the technical field of traffic management and control, historical data of each ETC portal in a near period of time on an expressway are collected, and historical traffic operation states of each road section in the monitoring range of each ETC portal are calculated; according to the historical traffic operation state of each road section, easily-congested road sections are screened, easily-congested routes are formed, and the daily average traffic volume of the easily-congested routes is calculated; and formulating a capacity expansion control strategy according to the daily average traffic volume of the easily-congested route. The method is used for solving the problems of large traffic flow and low traffic efficiency of predictable easily-congested road sections, capacity expansion can be carried out in a way of adding lanes and the like for regular and long-term easily-congested road sections so as to improve the traffic capacity, the method is a mesoscopic periodic strategy, conventional microcosmic management and control are improved to mesoscopic management and control, and the traffic efficiency is improved. Optimized configuration and efficient utilization of traffic resources can be realized, and the operation efficiency and the service level of the whole traffic system can be improved.

The invention relates to the technical field of traffic engineering, and discloses a reinforcement learning-based virtual aircraft multi-agent co-simulation and optimization method and system, and the system comprises a virtual environment construction module which is used for constructing a virtual city environment through UE4 and AirSim simulation software; the aircraft model construction module is used for designing an eVTOL virtual aircraft agent model by using 3ds Max; the agent state sensing module is used for sensing the state of the agent in real time through an AirSim plug-in; the reinforcement learning training module is used for applying a DDQN algorithm to train an agent to make an autonomous decision; and the collaborative task design module is used for multi-agent collaborative task execution, such as traffic planning, route optimization and the like. Through a virtual simulation method, an innovative perspective of cooperative operation of a large number of virtual aircraft agents in a complex urban environment is provided. The method has remarkable advancement in urban air traffic (UAM) system design and verification research, and dynamic characteristics of urban air traffic can be truly represented and analyzed in a simulation environment.

The invention provides a highland cooperative automatic control method and system, and the method comprises the following steps: controlling an unmanned plane to fly to a highway section for image collection in response to a received congestion checking signal; performing image recognition on the high-speed acquired image, and determining a high-speed area and a ramp area in the high-speed acquired image; dividing the expressway area to obtain a first road section area and a second road section area which respectively indicate a road section before a ramp and a road section after the ramp, and obtaining a first congestion coefficient and a second congestion coefficient which respectively correspond to the road section before the ramp and the road section after the ramp, determining a flow attribute corresponding to the ramp section based on the first congestion coefficient and the second congestion coefficient; and in response to the traffic attribute being a congestion attribute, obtaining a vehicle lamp control device closest to the ramp road section, and controlling the vehicle lamp control device to execute a lamp control operation corresponding to vehicle passing. The traffic management efficiency is at least improved.

The invention relates to the technical field of cloud edge collaboration, in particular to an edge computing cloud edge collaboration method, system and device, and the method comprises the steps: obtaining a real-time monitoring video shot by each AI camera in a single target area, dividing the real-time monitoring video into an effective video segment and an invalid video segment, the effective video segment is divided into a dominant clear frame group and a hidden clear frame group according to the definition, a method for obtaining target information is determined according to the type of the clear frame group, the edge filtering module receives the target information of the dominant clear frame group and the clear enhanced frame group, all the target information of the single effective video segment is determined according to the time sequence relation, and the target information is obtained. And filtering to generate effective target information, and determining traffic information of each time period according to the effective target information. According to the method and the system, the dependence on cloud resources is reduced through a processing mode of cloud edge collaboration and cloud centralization removal, and the optimal configuration of the resources is realized.

The utility model discloses a control system of a traffic variable sign label. The control system comprises a main control module used for processing data and controlling output; the data input module is used for receiving data input, and the output end of the data input module is connected with the input end of the main control module; the output detection module is used for monitoring an output state and comprises a sampling chip, and the sampling chip is connected with the main control module through an SPI bus; the output end of the main control module is connected with the input end of the output control module, the output control module comprises an alternating-current optical coupler and a silicon controlled rectifier, the output end of the alternating-current optical coupler is connected with the input end of the silicon controlled rectifier, and the output end of the silicon controlled rectifier is connected with the output end of the main control module. And the output end of the silicon controlled rectifier is connected with the traffic sign label to control the color change of the traffic sign label. Therefore, accurate distribution of road resources is realized, the traffic efficiency of the road is improved, the traffic pressure is effectively relieved, and the workload of manual intervention is reduced.

This utility model discloses a toll station card dispensing machine, comprising: a chassis with a built-in controller and an opening on one side; an aerial imaging device installed inside the chassis, comprising a housing, an imaging lens, and a display screen, both located within the chassis, with the imaging lens facing the opening; signal light emitted from the display screen is projected onto the imaging lens, and the signal light passes through the imaging lens to form a real image in the air that is mirror-symmetrical to the display screen; and a card receiving and dispensing device installed on the side of the chassis facing the lane, communicating with the aerial imaging device, containing a card, and positioned within the chassis but adapted to carry the card out of the chassis. The toll station card dispensing machine according to this utility model has advantages such as improving vehicle traffic efficiency, alleviating traffic pressure, and increasing user safety.

The invention discloses a high-performance cold patch asphalt mixture and a preparation method thereof. The raw material components of the high-performance cold patch asphalt mixture include: cold patch liquid and aggregate, the mass dosage of the cold patch liquid is 5.05-5.15% of the mass of the aggregate; the raw material composition of the cold patch liquid includes: 80-83 parts of asphalt, 16-20 parts of diesel, 1-2 parts of linoleic acid, 1-2 parts of hydrogenated rosin stearate polyethylene glycol ester, 5-10 parts of acrylic rosin epoxy resin, 0.05-0.1 parts of aluminum chloride and 1-1.5 parts of SBR latex; the parts are by mass. The present invention achieves mixing at room temperature, does not need to heat aggregates, saves fuel, has no gas emissions, reduces production costs, and improves environmental benefits; the high-performance cold patch asphalt mixture has good adhesion, good water stability, high strength, does not become loose or peel off under the action of vehicle loads, and has a long service life; the construction workability and storage stability of the cold patch material are improved, and there are no special requirements for the operating environment. When repairing potholes, the cold patch material can be directly placed in the pothole and properly rolled.

The invention discloses an early warning event rapid issuing method based on a vehicle-road cooperation technology, and the method comprises the steps: obtaining the abnormal conditions of a vehicle and a road in real time through the infrastructure of the vehicle and the road, and obtaining the accident information; reporting the accident information to an edge computing node; the abnormal condition of the accident information is identified through the computer vision technology accident information by utilizing an edge computing node; the abnormal condition of the accident information is sent to a vehicle-road cooperation cloud control platform by utilizing an edge computing node; performing information fusion and analysis on abnormal conditions of the accident information by using a vehicle-road cooperation cloud control platform to obtain accurate accident information and early warning information; accurate accident information and early warning information are received using a navigation application of a user. According to the invention, by integrating the vehicle-road cooperation function service, the real-time transmission and processing efficiency of traffic accident information is improved, the problems of delay and information lag when a traditional navigation system processes sudden traffic events are effectively solved, and the response speed and accuracy of accident early warning are improved.

The present application provides a highway congestion prediction method and system based on big data. By accurately extracting highway road condition state vector data and combining it with prior pattern knowledge data for intelligent integration analysis, the accuracy of highway congestion prediction is significantly improved. It can not only generate the potential congestion trend characteristics of the target section in real time, but also further identify specific congestion risk patterns and automatically match the causes of similar congestion cases in historical data, so as to quickly locate the potential causes of current congestion. Compared with traditional prediction methods, the present invention not only has strong prediction timeliness, but also more detailed and in-depth prediction results, providing more scientific and accurate decision support for traffic management departments. By identifying and warning of potential traffic congestion in advance, it is helpful to take effective measures in a timely manner to alleviate traffic pressure and improve road traffic efficiency.

The invention discloses a convenient-to-assemble safety warning device for highway operation, which comprises a mounting barrel, a multifunctional cavity is formed in the inner side of the mounting barrel, a partition plate is welded to the inner side of the multifunctional cavity, a cable is connected to the middle position of the top end of the partition plate, and a fixing block sleeves the outer side of the cable. According to the invention, the structure is scientific and reasonable, the use is safe and convenient, and a driver on a highway can know which lane is being constructed at a far position, so that the lane can be changed in advance, and the driving safety is improved. According to the method, the situation that a large number of vehicles continuously change lanes to cause congestion after approaching the construction position is prevented, high-position warning can warn a driver of the front construction danger in advance, congestion caused by construction can be relieved, therefore, traffic pressure is relieved, the commuting efficiency is improved, and the using method is simple and efficient.

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 belongs to the technical field of vertical underground garages, and discloses a vertical garage multi-path circulating elevator system with a rotatable waiting platform, which comprises a pipe piece shaft, a floor plate, a multi-path circulating elevator system and the rotatable waiting platform, and the multi-path circulating elevator system is formed by sequentially overlapping and combining four groups of circulating elevators; the rotatable waiting platform is arranged on the ground outside the top layer of the segment shaft and comprises an inner ring rotating platform and an outer ring annular road, the top layer of the segment shaft is provided with four groups of garage entrances and exits, and each group of garage entrances and exits is provided with a corresponding translation type vehicle extracting platform and is located on the inner ring rotating platform. The vertical garage has the advantages that the multi-path circulating elevator system is adopted, parking layer entrances and exits can be formed in the four directions of the vertical garage, and the car parking and taking efficiency of all parking layers is improved; a rotatable waiting platform is arranged outside the ground of the top layer of the garage, and a vehicle to be transported is rapidly rotated to the position of the circulating elevator capable of being transported.

The invention discloses an intelligent multi-target extraction method and system for intelligent security monitoring video images, and relates to the field of video monitoring technology. The system comprises a data acquisition module, a target detection and tracking module, a behavior analysis module and an evaluation and decision-making module. The technical key points are as follows: by giving priority to pedestrians and closing gates at road intersections, the safety of pedestrian passage is improved, the opening sequence of gates is dynamically controlled, vehicles at various intersections are ensured to pass in an orderly manner, traffic chaos is avoided, and then the congestion situation at road intersections is calculated and monitored in real time, and management is carried out by dispatching personnel, so that traffic pressure is promptly and effectively relieved, and smooth roads are ensured. According to the congestion situation and the specific situation of the intersection, a recommended value of the number of dispatched people is generated, personnel are reasonably arranged for traffic management, and resource allocation is optimized.

The invention discloses an urban planning design method and system, and relates to the technical field of urban planning, and the method specifically comprises the following steps: determining a key traffic flow line and a potential congestion point of an underground parking lot entrance in a business district of an urban center in the shopping peak period of festivals and holidays, configuring a traffic flow information collection system, and defining a traffic flow information collection rule; acquiring and storing traffic flow information of the traffic flow at the shopping peak in festivals and holidays; the stored traffic flow information is analyzed, the adjustment requirement and the congestion condition of the parking lot entrance traffic flow line in the peak period are evaluated, and the parking lot entrance traffic flow line is dynamically optimized according to the evaluation result; in the vehicle flow line optimization process, the vehicle flow information is updated in real time, the vehicle flow line adjustment demand and the congestion condition are periodically recalculated, and the vehicle flow line optimization scheme is dynamically adjusted. According to the invention, the problem of unbalance of the traffic flow line in the peak period is solved, and the traffic efficiency and traffic mobility of the parking lot entrance are improved.

The invention provides a multi-mode traffic fusion connection facility layout method and device, and the method comprises the steps: obtaining the travel data of a user, and the travel data comprises the predicted peak hour passenger flow of a to-be-planned hub region, and the time, cost and comfort required by various traffic modes; predicting the use probability of each traffic mode according to the peak hour passenger flow volume, the time required by each traffic mode, the cost and the comfort level; according to the peak hour passenger flow volume and the use probability of each traffic mode, the connection demand quantity of each traffic mode is predicted; calculating facility scales required by various traffic modes through the connection demand quantity; obtaining a transfer demand of a passenger, and determining arrangement positions of various traffic mode facilities and distances among the various facilities based on the transfer demand; and the facility scale, the facility position and the distance between the facilities required by various traffic modes are used as a layout scheme. According to the layout scheme designed by the method, the transfer efficiency among the connection facilities can be improved, and the traffic pressure is relieved.

The invention relates to a traffic flow intelligent balancing system and method based on deep reinforcement learning and congestion avoidance, and belongs to the field of intelligent traffic system control. According to the system, collaborative optimization is carried out through cloud and fog end (roadside unit) intelligent agents, the global intelligent agent carries out global optimization of traffic flow by using historical data, and the fog end roadside unit intelligent agent rapidly responds to local traffic conditions based on real-time feedback, so that global and local collaborative optimization is realized, and the traffic management efficiency is effectively improved. According to the method, a traditional vehicle-by-vehicle path adjustment method is converted into a processing mode based on the vehicle flow, the rerouting proportion serves as a decision variable of a roadside unit agent, the calculation efficiency is greatly improved, and the communication overhead and delay of the system are reduced. By actively identifying the potential congestion area and executing the diversion operation in advance, the system significantly reduces the possibility of congestion, reduces energy consumption and pollution emission, and realizes more intelligent and sustainable traffic management.

The invention belongs to the technical field of vertical underground garages, and discloses a working method of a multi-path circulating elevator system in a vertical garage based on a rotary platform, the multi-path circulating elevator system is arranged in a segment shaft, and a rotary waiting platform is arranged outside the top layer of the multi-path circulating elevator system; the translation type car extracting platform on the lifting platform can be quickly moved to an idle circulating elevator position by controlling the lifting platform to rotate; an open type lift car is arranged on the circulating elevator, and a car carrying platform on the open type lift car is composed of a plurality of bearing rods arranged at intervals. The translation type vehicle extracting platform is provided with a grid platform and can move forwards to the lifting path of the open type lift car, and the vehicle carrying platform can pass through gaps of the grid platform and extract or lower the vehicle from the grid platform in an ascending or descending mode. The multi-way circulating elevator system has the advantages that multi-car vehicle carrying without stopping rotation is achieved by adopting the multi-way circulating elevator system, vehicles to be driven can be rapidly transferred through the rotatable waiting platform, and the parking efficiency is improved.

The invention, which belongs to the traffic optimization system field, discloses an intelligent scenic area traffic optimization system comprising an image acquisition module, a sound acquisition module, a data analysis module, an early warning emergency module, a people-vehicle shunting module, a route planning module and a notification module. The image acquisition module is used for acquiring image information of a scenic spot road through a camera and sending the acquired image information to the data analysis module; the sound acquisition module is used for acquiring sound information of a scenic spot road through a sound sensor and sending the acquired sound information to the data analysis module; the data analysis module is used for receiving and analyzing the collected information, outputting an analysis result and sending the analysis result to the early warning emergency module; and the early warning emergency module is used for sending risk early warning of a corresponding level according to the analysis result, and sending corresponding emergency measures to the notification module according to the level of the risk early warning. According to the invention, the visitor flow management can be optimized, and the safety and experience of tourists are ensured.

The utility model belongs to the technical field of deceleration strips, and particularly relates to a deceleration strip convenient to splice, which comprises two first deceleration blocks and a second deceleration block, the second deceleration block is arranged between the two first deceleration blocks, the lower sides of the first deceleration blocks and the lower side of the second deceleration block are respectively provided with a positioning groove, and the positioning grooves are in butt joint with the positioning blocks. According to the deceleration strip convenient to splice, a positioning block is in butt joint with a positioning groove, a clamping block is in clamping butt joint with a clamping groove under the action of a connecting spring, the positioning block and the positioning groove are limited together, the edge of a first deceleration block and the edge of a second deceleration block can be conveniently kept in an aligned state, and the deceleration strip can be conveniently and rapidly installed; when a vehicle runs on the surface of the second deceleration block, the baffle is extruded, impact force of the vehicle is buffered, when the vehicle moves away from the surface of the second deceleration block, the baffle recovers to the original shape, buffering of the deceleration strip to the vehicle is enhanced, and the service life is prolonged.

The application discloses a method and device for identifying road congestion state in real time, equipment and storage medium. Including: obtaining trajectory data corresponding to an idling vehicle equipped with a front image device, filtering a target vehicle driving on a road based on the trajectory data; extracting the front view image of the target vehicle, inputting the front view image into a pre-trained traffic object recognition model, and outputting the traffic object recognition result in the image; based on the traffic object recognition result, filtering an initial congestion image and automatically labeling the traffic light category corresponding to the initial congestion image; based on the traffic light category, inputting the initial congestion image into the corresponding congestion recognition model, and outputting the congestion level determination result of the current vehicle. Through image data recognition and congestion level recognition, the application accurately determines the congestion level, improves the accuracy and real-time performance of congestion recognition, provides strong support for traffic management and optimization, and improves road traffic efficiency.

The invention discloses a riding integral incentive method, device and equipment for rail transit and a medium, and belongs to the technical field of Internet. The method comprises the following steps: acquiring riding travel data of passengers in rail transit; an integral rule is obtained, the integral rule comprises a basic riding route and a first integral proportion corresponding to the basic riding route, and the integral rule further comprises a special riding route and a second integral proportion corresponding to the special riding route; identifying whether the riding travel data is matched with the special riding route, and if yes, determining the current riding score according to the riding association information and a second score proportion; and updating the account integral value corresponding to the passenger identity information according to the current riding integral. According to the technical scheme, richer point rewards can be made for special riding routes or flat peak riding periods according to actual operation conditions, the function of dynamically adjusting passenger flow is achieved by providing differentiated incentive measures, passengers are attracted to go out in an off-peak mode, and ground traffic pressure is relieved.

The invention relates to the field of road traffic control, in particular to a variable lane setting method and device, a medium and equipment, and the method comprises the steps: obtaining a turning flow proportion according to a second traffic flow and a third traffic flow, and setting a turning lane as a turning and straight variable lane if the turning flow proportion is smaller than a first proportion threshold value, if the turning flow proportion is larger than a second proportion threshold value, the number of second variable lanes is obtained according to the total number of the straight lanes, the turning flow proportion and the difference value of the second proportion threshold value, and the newly-added number of the left-turn lanes and the newly-added number of the right-turn lanes are obtained by combining second traffic flow corresponding to the left-turn lanes and the right-turn lanes; according to the lane distance, the straight lane needing to be variably arranged is set to be the straight and left-turn variable lane or the straight and right-turn variable lane, and the flow conditions of the left-turn lane and the right-turn lane are comprehensively considered, so that the left-turn demand and the right-turn demand of vehicles are balanced; the setting accuracy of the variable lane and the relieving degree of traffic pressure are improved.

The invention provides a lane structure of a road intersection and a traffic control method, and the lane structure comprises a turn-around and left-turn shared lane, a first left-turn lane, a first straight lane and a right-turn lane which are sequentially adjacent from left to right based on a vehicle traffic direction. The first variable lane is arranged at the downstream part of the turning-around and left-turn shared lane, and the second variable lane is arranged at the downstream part of the first left-turn lane; lane changing areas are arranged between the first variable lane and the lane for turning around and left turning and between the second variable lane and the first left turning lane; first stop lines are arranged at the joints of the first variable lane, the second variable lane and the first straight lane with the road intersection; a second stop line is arranged at the joint of the lane for turn-around and left-turn and the first left-turn lane and the lane changing area; and at least one tailgating entrance is arranged between the first straight lane and the second variable lane. According to the invention, the vehicle passing efficiency of the intersection can be improved.

The invention relates to the technical field of traffic guidance, in particular to an intelligent traffic guidance device based on machine learning, which comprises an intelligent system and a guidance device body, and is characterized in that the intelligent system comprises the following modules: an acquisition module used for acquiring environment information; the analysis module is used for analyzing causes of the environment information to obtain an analysis result; the processing module is used for processing the environment information to obtain a processing result; the learning module is used for creating a machine learning model and training the machine learning model according to the processing result; the prediction module is used for predicting future traffic conditions through a machine learning model to obtain a prediction result and sending the prediction result to the control module; and the control module is used for adjusting the guiding strategy of the guiding device body according to the prediction result. According to the method, the machine learning model is established and trained, and the future traffic condition is predicted through the machine learning model, so that the traffic pressure is effectively relieved, and the road passing efficiency is improved.

The invention discloses a signal lamp duration control method and system based on regional traffic flow information, and the method comprises the steps: enabling each signal lamp in a to-be-controlled region to obtain the vehicle information in a corresponding road segment in real time, all the signal lamps synchronously send the acquired vehicle information to the central control system; the central control system judges whether a congested road section exists in the to-be-controlled area according to the vehicle information of all the signal lamps in the to-be-controlled area, if the congested road section exists, the central control system generates an area signal lamp control signal according to the vehicle information of all the signal lamps in the to-be-controlled area and the relationship among the signal lamps, and sends the area signal lamp control signal to the to-be-controlled area; the regional signal lamp control signal is sent to each signal lamp and a navigation system; and the navigation system updates navigation route information according to the regional signal lamp control signal and transmits the updated navigation route information to a navigated vehicle, and meanwhile, each signal lamp performs signal switching according to the regional signal lamp control signal.

The invention discloses an urban shared bicycle putting method with optimal global benefit, belongs to the technical field of shared bicycle dispatching, and is used for solving the problems of high total consumption and low resource utilization rate caused by lack of overall allocation of multiple shared bicycle companies in a city. The method comprises the following three steps. The method comprises the following steps: 1, collecting cost data of a shared bicycle company for putting a shared bicycle to a demand place; 2, establishing a putting model for overall planning of global benefits; and step 3, constructing a putting strategy based on a putting model for overall planning of global benefits. According to the method, unified allocation among a plurality of shared bicycle companies in a city can be planned as a whole, so that the total consumption and the resource use efficiency are more optimized.