49results about How to "Reduce traffic congestion" patented technology

The invention discloses an optimization method for signal timing in a single-point crossroad based on deep reinforcement learning, aiming at optimizing simulation timing in the single-point crossroadbased on deep reinforcement learning by actual road data, and finally applying a simulation scheme to an actual road. The method overcomes the shortcomings of the existing adaptive signal timing method and provides a novel algorithm that can perform high-dimensional input and fast convergence. The method comprises the following steps: firstly, performing matrix processing on the original data, randomly extracting input data through an empirical playback strategy, selecting an action of reinforcement learning by using an epsilon-greedy strategy, and finally obtaining an optimal solution for signal timing through continuous iterative training.

The invention belongs to the field of road traffic sign marked lines, and discloses a method for determining the length of a variable guide lane for a signal control intersection approach. The method comprises the steps of first acquiring traffic data information that the variable guide lane steers in a corresponding direction, then converting obtained traffic volume relevant to a variable guide lane steering lane into an equivalent standard small automobile traffic volume, further utilizing an M/M/N model in the queuing theory to calculate the number of queuing vehicles behind a stop line of the signal control intersection approach according to a multi-path queuing multi-channel system and with combination of an approach lane queuing imbalance coefficient, and lastly converting the vehicle number into vehicle average queuing length in meter to serve as a value of the length of the variable guide lane for the signal control intersection approach. The method for determining the length of the variable guide lane for the signal control intersection approach can enable the vehicles on the upper stream of the variable guide lane to be smoothly driven into the intersection approach so as to improve approach traffic efficiency.

The invention relates to an underground traffic passenger guidance system based on a smart city, and is suitable for the field of city traffic. According to the underground traffic passenger guidancesystem, through a technical means, the passenger number and the crowding degree of subway compartments are grasped in real time, and passengers are guided to take a subway effectively and comfortably.The underground traffic passenger guidance system is mainly composed of a passenger flow information collection part, an information network transmission part, an information management platform partand a passenger guidance information display part. The passenger flow information collection part collects the passenger number and the crowding degree inside each section of subway compartment and sends the passenger number and the crowding degree to the information management platform through network transmission; the information network transmission part is responsible for information transmission between platforms and sends the compartment crowding degree information to the passenger guidance information display part of the next platform through a network; and the passenger guidance information display part accurately displays the crowding degree to the waiting passengers at a corresponding waiting area in real time, and guides the passengers to choose the waiting areas with the low compartment crowding degree to wait for getting on the subway. The underground traffic passenger guidance system belongs to an intelligent traffic system. Through the underground traffic passenger guidance system, real-time statistics of the number of people in all the subway compartments can be effectively achieved, the passengers are guided to take the subway efficiently, the subway traffic transportation efficiency is improved, and the passenger take experience is improved.

The invention provides an unmanned police patrol vehicle and a patrol method. The unmanned police patrol vehicle comprises a vehicle-mounted monitoring system, a violation judgment system, a police platform interaction system, a positioning patrol system and a warning system; the vehicle-mounted monitoring system can collect the driving state information of surrounding vehicles, the environmentalinformation of driving, as well as the basic information of the vehicles and the information of persons in the vehicles; the violation judgment system includes an information classification module, aviolation comparison module, and an information interaction module, and performs classification analysis on the vehicles according to collected image information so as to determine whether the vehicles violate laws; the police platform interaction system can realize the information exchange between the unmanned police patrol vehicle and a police platform, and timely report the conditions of the vehicles and patrol conditions; the positioning patrol system is used for the navigation and positioning of the vehicles, planning the patrol path of the police vehicle and positioning the vehicles violating laws; and the warning system is used for emitting warning prompts to the vehicles violating laws.

The embodiment of the invention provides an urban road planning method and device, relates to the technical field of traffic network planning, and aims at reasonably planning urban roads, thereby reducing traffic jam. The method comprises the following steps: obtaining a preset urban traffic network comprising urban plots and urban roads; determining the traffic carrying capacity of a selected road in the urban traffic network according to the population flow direction within a specific period of time and the quantity of flowing vehicle; determining urban road information comprising at least one of urban road hierarchy, urban road width, and traffic facility position and traffic facility occupied area in the urban road according to the traffic carrying capacity of the selected road. The method and device are applied to urban traffic network planning.

The invention provides a traffic light phase control method, system and device and a medium, and the method comprises the steps: collecting intersection state data at a current moment, wherein the intersection state data comprises the vehicle state data of all lanes of an intersection; inputting the intersection state data at the current moment into a trained traffic light phase model; and controlling the phase of the traffic light according to the traffic light phase state output by the traffic light phase model. According to the invention, the intersection state data and the traffic signal lamp phase data are collected, and the phase change mode of the traffic signal lamp can be better selected by adopting the machine learning model, thereby realizing adaptive adjustment of the traffic signal lamp, and effectively reducing the traffic jam condition.

The invention discloses an intelligent traffic control method. The method comprises the steps of receiving real-time road condition information of each direction of an intersection; conducting identification analysis on the real-time road condition information, and obtaining traffic flow data; adjusting the display time of each indicator light in a traffic signal light according to the traffic flow data, and obtaining a control signal of the traffic signal light after adjustment; sending the control signal to the traffic signal light. By means of the intelligent traffic control method, unnecessary traffic jams can be reduced. The invention further discloses an intelligent traffic control device and system which have the advantages above.

The invention discloses a cargo-to-human robot sorting system, method and device based on a dynamically assembled movable cargo shelf. The system comprises a fixed cargo shelf which is used for storing cargos through a material box placed on the fixed cargo shelf; a material box forking robot which is used for carrying the corresponding material box between the fixed cargo shelf and the movable cargo shelf according to the material box which needs to be carried and is determined by the system based on the order; a movable cargo shelf which is used for placing the material box forked by the material box forking robot from the fixed cargo shelf; a cargo shelf carrying robot which is used for carrying the assembled movable cargo shelf to each operation area in the warehouse or the movable cargo shelf temporary storage area; a sorting robot which is used for carrying the assembled movable cargo shelf to the position near a sorting station, wherein sorting workers can sort out the corresponding cargo conveniently according to system prompts; and an order sowing wall which is arranged at the sorting station and used for containing order boxes, wherein the order boxes are used for containing the cargo of the corresponding orders sorted out by the sorting workers.

The invention discloses a city parking guidance system and method based on an Internet of things (IOT) and relates to the technical field of intelligent traffic. The system comprises a data acquisition and management module, a parking space reservation and information release module, an information transmission module, a data processing center module and a payment interface module. The data collection module is used for collecting vehicle information of a parking space and vehicle information of an entrance and an exit of a parking lot. The parking space reservation and information release module is used for parking space reservation, on-site and off-site guidance and the indication of an optimal parking space. The information transmission module is used for receiving, storing and processing related real-time data information transmitted from the data acquisition and management module and the parking space reservation and information release module. A bank payment interface is used forcompleting the payment of a parking feed. According to the parking guidance system, the improvement of a parking management service level and service quality is facilitated, the utilization rate of parking spaces is improved, economic losses caused by road congestion due to parking difficulties are reduced, and the overall competitiveness of a city is enhanced.

The invention relates to the technical field of computers, in particular to an automatic driving taxi scheduling system based on big data of car networking. The system comprises an intelligent scheduling system used for data visualization through a computer to visually display the change of traffic information; and the scheduling system obtains automatic driving taxi vehicle information and passenger taxi taking demands, and the scheduling of the automatic driving taxi is improved through adoption of an intelligent algorithm for globally searching an optimal solution to achieve the global optimization and distribution of taxi resources. The automatic driving taxi scheduling system can greatly improve the taxi industry management, decision-making capability and service level, can relieve the pressure of traffic law enforcement manpower shortage, breaks the limitation of a traditional taxi, and avoids the phenomena of a high empty driving rate, uneven resource distribution, passenger picking and carrying. The traffic hazard caused by the self reason of a driver under the condition of driving by a person cannot occur.

The invention discloses an intelligent road widening method and a structure for solving tidal jam of city. A row of telescoping rods is arranged in the middle of the road; a one-chip microcomputer is utilized to control operation of the telescoping rods, so that the telescoping rods can uniformly lower to a position levelling with a road or rise to form a road isolation strip to adjust lane width dynamically and timely; therefore a traffic jam problem can be alleviated effectively. According to the invention, a telescoping rod apparatus is embedded under a road surface, so that the telescoping rod apparatus can rise or lower the telescoping rods under control of the one-chip microcomputer, and the telescoping rods are exactly leveling with the road surface or form an isolation strip in the middle of the road. Accordingly, width of the road can be changed; driving directions of vehicles can be divided; and lane width can be adjusted dynamically and timely according to real-time traffic condition and by cooperating with traffic signal, so as to effectively alleviate the problem of traffic jam.

The invention discloses an EPON-based optical network unit hibernation method. The method comprises the steps as follows: step 1, an optical line terminal judges whether an optical network unit meets an initial hibernation condition or not, and if so, the next step is executed, otherwise, the step 1 is repeated; step 2, the optical line terminal transmits an initial hibernation message to the optical network unit; step 3, the optical network unit receives the initial hibernation message and enters an initial hibernation state; step 4, the optical network unit enters a working state when the initial hibernation state is ended; step 5, whether the optical network unit meets a continuous hibernation condition or not is judged, if the optical network unit meets the continuous hibernation condition, the optical network unit enters a continuous hibernation state, and when the continuous hibernation state is ended, the step 5 is repeated; otherwise, the step 1 is repeated.

The invention relates to the technical field of big data analysis, and provides a road health degree monitoring method and system. The method comprises the steps: generating a road condition maintenance data model according to a monitored wear level parameter of a tire on a road; calculating the tire wear degree value at each road segment where a vehicle tire passes in the unit time according to the generated road condition data model; judging whether the calculated tire wear degree value of the road segment is greater than or equal to a preset tire wear degree threshold value or not; generating and outputting the road maintenance alarm prompt information if the calculated tire wear degree value of the road segment is greater than or equal to the preset tire wear degree threshold value, orelse returning to perform the step of tire wear degree value at each road segment where the vehicle tire passes in the unit time according to the generated road condition data model, thereby realizing the monitoring and maintenance prompt of the road conditions, reducing the traffic congestion caused by large-scale road repairs and prolonging the service life of the road.

A computer-implemented method for providing traffic information via a navigation module onboard a moving vehicle, comprising the steps of: obtaining geolocalization data of the vehicle; identifying the closest traffic light ahead the vehicle; retrieving, from a remote traffic light server, operational information on the identified closest traffic light; processing the operational information to determine an optimal speed at which the vehicle should move to arrive at the closest traffic light when it is at green phase; and outputting the optimal speed via a user interface of the navigation module.

The invention discloses a signal lamp prompting system and method based on image recognition. The system comprises a waiting detection module, a lane information acquiring module, a signal lamp matching module, a time acquiring module and a prompting module, the waiting detection module is used for detecting whether a target vehicle waits for a traffic signal lamp or not, the lane information acquiring module is used for determining a lane where the target vehicle is positioned when the circumstance that the target vehicle waits for the traffic signal lamp is detected, the signal lamp matchingmodule is used for determining a target signal lamp matched with traveling direction of the target vehicle according to the lane where the target vehicle is positioned, the time acquiring module is used for acquiring target waiting time of the target signal lamp converting from a red lamp to a green lamp, and the prompting module is used for sending a trafficability reminder to a driver of the target vehicle after the target waiting time.

The invention discloses a system and method for crossing vehicle pass. The system includes a vehicle information collection module, a vehicle end communication module, a roadside communication module,a roadside information processing module, an information generation module and a display module, wherein the vehicle end communication module is used for collecting the vehicle information and transmitting the vehicle information to the roadside communication module, the roadside communication module is used for transmitting the received vehicle information to the roadside information processingmodule for calculation, the information generation module is used for analyzing and processing the calculated information and generating the traffic control information and the pass guidance information for guiding each vehicle, and the information is transmitted to each vehicle for display and guidance through the roadside communication module. The system is advantaged in that the driving vehicleis effectively guided and controlled, and problems of hidden safety trouble and congestion easily generated in the peak time at an intersect crossing having no traffic control signals can be solved.

This application relates to a cache storage architecture. The cache storage architecture includes: multiple kernels, a cache memory, and a physical memory; each kernel is connected with the cache memory; the cache memory is connected with the physical memory in group associative mapping. In this scheme, multiple kernels are connected to the physical memory via the same cache memory, and multiple kernels form a unified cache memory that does not need to distinguish the cache memory of the kernel from the cache memories of other kernels and does not need to design consistency protocol to ensuresynchronization between cache memories, which reduce data consistency-related information access and synchronous communication, thereby reducing traffic congestion and improving the efficiency of cache memory.

The invention discloses a road state analysis method based on the automobile electronic identification technology. The method comprises a data collection step, a road section average travel speed calculation step, a road congestion state determination step, a road section average travel time calculation step, a road traffic volume calculation step, a road traffic density calculation step, a road load degree calculation step and a vehicle average delay time calculation step. The method is advantaged in that the method is more economical, more effective, with higher coverage and realizes more comprehensive information collection, more effective support is provided for refined planning and management of urban transportation, through mining calculation and analysis, road state analysis and prediction, traffic service capability evaluation and transportation industry management assistance decision making functions are achieved, advantages of low cost and easy operation are further achieved,and the method is sustainable, dynamic, quantifiable and reproducible.

The invention discloses an intelligent traffic signal lamp switching system and method. The system comprises a camera shooting system, a pressure sensing system, a signal lamp control system and traffic signal lamps, wherein the camera shooting system is used for obtaining road image data and sending the road image data to the signal lamp control system; the pressure sensing system is used for detecting road surface pressure data and sending the road surface pressure data to the signal lamp control system; the signal lamp control system is used for calculating the traffic flow grade on the road according to the received road image data and road surface pressure data, and if the calculation results are the same, a switching scheme is generated according to the calculated traffic flow gradeand sent to the traffic signal lamps; and the traffic signal lamps are used for conducting signal switching according to the switching scheme. The system and the method can effectively reduce trafficjam and fully utilize road resources by detecting traffic flow conditions such as road traffic flow and pedestrian flow in real time and controlling switching of the traffic signal lamps according tothe traffic flow conditions.

The invention relates to an unmanned intelligent parking method based on the V2X technology. The method comprises the steps that a parking request is sent to a V2X module of a vehicle; the V2X modulesends the parking request to an edge computing system; the edge computing system judges whether the requested vehicle can be parked or not according to the actual condition of the current parking lot,if sos, the time required for parking of the requested vehicle is calculated, and then the judgment result and the time required for parking of the requested vehicle are returned to the requested vehicle; and the request vehicle selects whether to park or not according to the return result and the actual situation of the request vehicle, and if so, a response is sent to a roadside unit and the vehicle is driven to a designated entrance point of the parking lot, and the parking behavior is completed. According to the invention, the parking request event can be processed more accurately throughthe edge computing system arranged in the parking lot. Therefore, the parking time is greatly shortened, the operation efficiency of the parking lot is improved, the traffic jam pressure caused by unknown information is reduced, the urban traffic pressure is relieved to a greater extent, and the travel efficiency is improved.

The invention discloses an Internet intelligent transportation system. The Internet intelligent transportation system includes a control module, a GPS module, a traffic guidance module, a traffic flow acquisition module, a traffic information sharing module, a communication interface module, a clock circuit module, an image storage module, an image processing module, a vehicle detection module, a driving module, a traffic light display module, a countdown display module, an alarm indication module, a wireless infrared module, a radio controlled clock module, an image pick-up device module, a sensor module and a brake device module. According to the Internet intelligent transportation system of the invention, factors that influence transportation are collected and are displayed in the form of images, and accurate transportation planning can be realized; obtained strategies are adopted to perform transportation guidance, so that vehicles can be guided vividly; other vehicles can be notified to bypass traffic congestion when traffic congestion and the like appear, and specific routes can be provided for the owners of the vehicles to choose; and therefore, the traffic congestion can be effectively alleviated.

The invention discloses an automatic pick-up robot comprising a camera module, a storage module, a human face identifying module and a pick-up module. The camera module is used for conducting real-time panorama shooting on the whole space where the robot is located during advancing; the storage module is used for storing control logic and instructions, addresses of a starting place and a destination, a photo of a to-be-picked-up object and a photo of a contact person; the human face identifying module is used for matching photos shot by the camera module in real time and the photos stored in the storage module, and thus the to-be-picked-up object or the contact person is identified; and the pick-up module is used for advancing according to a planned pick-up route so as to escort the to-be-picked-up object to advance from the starting place to the destination and advance from the destination to the starting space. The defect that an existing robot has no other functions beside the functions of floor sweeping, voice chat and the like is avoided, the robot can achieve automatic pick-up, the work, picking up children to go to school every day, of people is omitted, traffic congestion is reduced, and traffic safety is guaranteed.

The invention discloses a red and green light type rotary wing unmanned aerial vehicle. The red and green light type rotary wing unmanned aerial vehicle comprises a vehicle body, a fixed block is fixed at the bottom of the vehicle body, the fixed block is of a cube shape and signal lamps are arranged on the peripheral of the fixed block, and a plurality of haze compensation lamp beads are arrangedevenly on the surfaces of the signal lamps. High-definition cameras are fixed to the top of the signal lamps, haze detectors are fixed to the bottom of the high-definition cameras, and the surface ofthe fixed block is symmetrically connected with reflective strips in a bonded mode. Six first arms are arranged on the peripheral of the edge of the vehicle body at equal intervals, and GPS positioning devices are arranged on the first arms. Second arms are connected to the free ends of the first arms, and motors are connected to the tail ends of the second arms. Four electric push rods are fixedto the bottom of the vehicle body, the power output ends of the electric push rods are downward and connected with sleeve rods, and shock absorber rods are connected to the bottom of the sleeve rods.According to the red and green light type rotary wing unmanned aerial vehicle, the traffic light is arranged on the unmanned aerial vehicle, and traffic command can be carried out in time after the failure of the traffic signal light, so that long-term congestion of a road is avoided, and the use of the traffic light is less limited.

The invention relates to a plat t-shaped cross road traffic overall arrangement that is made up of two roads on the same line, a road crossing the two roads, and a way crossing. The main feature is set out oriented island, inner oriented island and circumambulated way and break car line that connects the two islands. A closing loop is curved in center of the way crossing. Thus the traffic time is shortened and traffic jam would be decreased.

A barrier-free completely intercommunicating overpass system for a Y-shaped fork is characterized in that a road (1) and a road (2) are in V-shaped barrier-free butting with each other and intersect with a road (3) to form the Y-shaped fork; a straight viaduct of a left-turn ramp (9) of the road (2) is above a pavement (4), and extends straightly to the road (3) via a V-shaped upper left-turn viaduct, so that left-turn vehicles on the road (2) can drive without barriers to the road (3), and V-shaped-turning vehicles on the road (2) can drive without barriers; an uphill right-turn straight viaduct of a left-turn ramp (7) of the road (3) is above a right outer motor way of the road (2), spans through lanes of the road (2) in a zigzag manner, then goes down straightly to the ground and is butted with the left outer motor way of the road (2), so that left-turn vehicles on the road (3) can drive without barriers; highly spanning barrier-free left-turn ramps for the road (3) are arranged the road (1) and the road (2) correspondingly. According to the barrier-free completely intercommunicating overpass system, vehicles in the Y-shaped fork can turn left or right without barriers.