278results about How to "Solve traffic jams" patented technology

The invention discloses a vehicle team management method based on a cooperative vehicle infrastructure technology. The method comprises the following steps of vehicle team forming, vehicle team adding, vehicle team leaving, vehicle team dissolving and vehicle team switching. The vehicle team switching step comprises sub steps: S1, a head vehicle detects to enter a second road side unit from a coverage range of a first road side unit; S2, the head vehicle judges whether to have vehicle team authorization information for searching the second road side unit; S3, the head vehicle judges whether the driving direction is the same as the direction in which the vehicle team can drive; and S4, the head vehicle judges whether to meet vehicle type requirements, and if yes, the head vehicle sets the vehicle team state Tstate to be 0, a vehicle team state message TSM is updated and published, and the vehicle team dissolving step is carried out. Vehicle team management in a mobile internet environment is realized based on the cooperative vehicle infrastructure technology, the overall passing behaviors of multiple vehicles on the road can be coordinated better, the traffic congestion condition can be solved, and energy consumption is saved.

A signal control method comprises following steps: through database, obtaining historical traffic state data of an intersection; through a training module, based on the historical traffic state data,carrying out intensive learning to obtain a signal lamp training model; and through a model library, storing the signal lamp training model, wherein the signal lamp training model comprises mapping relationship between the traffic state data and a control strategy, which indicates the light-on rule of the signal lamps of the intersection. The signal lamp training model is used to output the control strategy of the signal lamps of the intersection based on the real-time traffic state data.

The invention discloses an intelligent traffic light system based on deep learning and a method for controlling a traffic light. The intelligent traffic light system comprises a data collecting and processing module, a deep learning module and a traffic light central controlling module, wherein the data collecting and processing module is used for collecting images of an intersection corresponding to the traffic light in real time, and identifying vehicle model information, a traffic volume, the vehicle queue length and the corresponding passing time of vehicles; the deep learning module comprises a neural network which can simulate a human brain for analysis and learning, and a control model, and the control model inputs the vehicle model information, the traffic volume, the vehicle queue length and the corresponding passing time of the vehicles into the neural network for autonomous deep learning and forming the control model; the traffic light central controlling module is used for controlling the traffic light. According to the intelligent traffic light system based on deep learning, the control model which is formed through autonomous deep learning can calculate and control the duration of a green light after the next change of the traffic light according to the vehicle queue length at the intersection and the vehicle model information, and efficiently solve the problem of heavy traffic.

The invention discloses an intersection signal optical control method in an environment of Internet of vehicles. A signal timing plan is optimized by combining vehicle state information acquired at a signal intersection in real time, so that the delay time that a vehicle passes through the intersection is shortened. The method disclosed by the invention realizes an actual application of the technology of Internet of vehicles at the signal intersection, thereby favorably improving the traffic efficiency at the signal intersection.

The invention discloses a vehicle queuing overflow anticipation method for a city bottleneck road section, and is used for judging whether the road section suffers from or is about to suffer from vehicle queuing overflow. The vehicle queuing overflow anticipation method for the city bottleneck road section mainly comprises two parts of a maximum generalized queuing length determination method and a vehicle queuing overflow anticipation method. Firstly, the allowable vehicle queuing length value, i.e. the overflow safe distance, of the bottleneck road section is determined; then, a traffic shock wave model is combined to calculate the wave velocity of the queuing accumulation shock wave and the queuing dissipation shock wave; the layout position of a shock wave detector is determined; finally, according to the layout position of the detector, the maximum generalized queuing length is calculated; if the maximum generalized queuing length is larger than the overflow safe distance, the vehicle queuing overflow phenomenon is judged to happen or to be about to happen. According to the vehicle queuing overflow anticipation method for the bottleneck road section, which is provided by the invention, the premise and the quality guarantee are provided for judging whether the intersection bottleneck road section vehicle queuing overflow control is implemented in time.

The invention provides a control method and a control system for an unmanned bicycle. The unmanned bicycle comprises a master control module, an obstacle detecting and analyzing module and a mechanical control module. The master control module is connected with the obstacle detecting and analyzing module and the mechanical control module, and furthermore bidirectional communication is performed between the master control module and the obstacle detecting and analyzing module and between the master control module and the mechanical control module. The control method and the control system settles a defect of only manpower riding mode in prior art and furthermore has beneficial effects of making a user better master riding, settling a traffic jam problem, realizing higher safety and higher reliability in riding, reducing air pollution, obtaining environment-friendly and energy-saving performance, realizing high benefit for human body health, and further advancing development of human social civilization.

The invention discloses a dynamic differential positioning method based on map matching for mobile communication terminals. The method comprises the following steps of acquiring information of surrounding base stations; according to the acquired base station information, using a base station information database to find the latitude and longitude coordinates of surrounding base station points; calculating the latitude and longitude coordinates of a mobile communication terminal; according to the latitude and longitude coordinates of the mobile communication terminal, marking the position of the mobile communication terminal in a map, removing historical position coordinates which too much deviate from a fitting trajectory and fitting remaining historical positions to form a motion trajectory; contrasting the fitted trajectory with the direction angles and the distance differences of roads in the map, matching the closest street road and removing position points which deviate from the matched road much more on the motion trajectory; and drawing the standard path on the map and repeating the previous steps. The invention adopts the differential way to carry out the data fitting, makes the positioning more accurate, also reduces the cost of positioning, and effectively solves the problem of base station positioning and navigation being difficult.

The invention discloses a controlling method and a system for intelligent signal lights based on big data. The signal lights is precisely controlled in real time according to current traffic flow at an intersection based on image recognition technology of YOLO algorithm and adaptive fuzzy control algorithm, so that traffic flow information collection and intelligent traffic lights control is realized; the big data sharing is performed in real time, and the current traffic lights and future traffic flow changes can be judged in time based on information sharing of the big data; and the trafficlights can be coordinated and controlled in real time by adjusting corresponding control strategy so as to effectively solve the traffic congestion problem caused by the traffic lights. Meanwhile based on real-time sharing of the big data realized by the controlling system for intelligent signal lights and through big data analysis, public transportation speed is configured to improve the abilityof public transportation, which is conducive to reducing fuel consumption and vehicle exhaust gas emissions, and achieving energy saving and emission reduction.

The invention relates to a traffic system capable of controlling lane direction changing. The traffic system is composed of main frame bodies, a control unit, and a traffic management center. The traffic system is characterized in that guide screens I and guide screens II are installed above the main frame bodies; warning lights I and warning lights II are installed correspondingly at the bottoms of the guide screens I and the guide screens II; and loudspeakers are installed between the guide screens I and the guide screens II. The main frame bodies are installed at a lane entrance and a lane exit respectively. An extension type blocking fence I, an extension type blocking fence II, guide lights I, guide lights II, and extension type guardrails are arranged at a lane; the bottoms of the extension type guardrails are connected with lead screw module groups; and the lead screw module groups are connected with motors. The traffic system has the following advantages: a traffic management center controls extension type devices remotely to change a lane indication direction according to a detected lane traffic flow change, so that dynamic adjustment of the lane function can be realized and a traffic congestion problem can be alleviated.

The invention discloses an expressway non-stop toll collection method based on a Beidou system or a GPS (Global Positioning System). The method comprises the steps that clients log in an expressway pass system by using smart phones; when the Beidou system / GPS detects that vehicles are to enter entrances of an expressway, a field layer server system lets the vehicle enter the expressway; when the vehicles are to leave the exits of the expressway, a top layer server system performs toll pre-settlement and toll settlement according to the information of the vehicles at the moment of entering and the running tracks of the vehicles, and the field layer server system lets the vehicle leave the expressway. The expressway non-stop toll collection method based on the Beidou system or the GPS has the advantages of high toll collection efficiency, great convenience and high practicability.

The invention discloses a multifunctional lift type suspension rail transportation system which is composed of overhead struts, truss tubular girders, a rail, a steering frame, a lifting and stabilizing system, a vehicle, turnouts, station facilities and automatic control and other mating systems, wherein the design of the multifunctional truss tubular girders can selectively realize functions of water pipes, pedestrian passageways, greenery landscapes, solar power generation and common pipelines on the basis of lightening dead-weight and saving materials to the maximum extent. The vehicle runs under the steering frame in a suspending mode, and the steering frame is composed of a phi-shaped plate rail, a U-shaped steering bracket with an upward opening and a permanent magnet brake device. As a magnetic suction caterpillar instead of a traveling wheel pair is used for driving a brake device, climbing ability can be improved greatly. A monolithic movement turnout is used for steering. When an overhead station is not selected, a lifting system and a self-compression foldable frame type anti-shaking and anti-falling device are selected, so that big marshalling operation and seamless linkage of multiple modes of transportation can be realized. The multifunctional lift type suspension rail transportation system is applicable for the field of urban or inter-city rail transportation, and has multiple technical specifications from low traffic volume to high traffic volume.

The invention relates to a traffic signal lamp anti-blocking control method and system based on deep reinforcement learning. The data of each intersection is processed by an intersection decision controller of an intersection, the intersection decision controller transmits the processed result to a terminal decision device, the terminal decision device further processes the obtained data, and theterminal decision device only takes over the decision right when the congestion value or the predicted congestion value of the intersection is larger than a threshold value, so that the signal lamps in one area are uniformly controlled and managed. When the congestion value or the predicted congestion value is smaller than or equal to the threshold value, the signal lamp of each intersection is decided and controlled by the intersection decision controller of the intersection. The traffic signal lamp anti-blocking control method and system based on deep reinforcement learning can greatly shorten the data processing time and avoid the situation that the adjacent intersections are congested because only the maximum traffic of a single intersection is concerned. According to the invention, the traffic signal lamp anti-blocking control method and system based on deep reinforcement learning are beneficial to solving the problem of traffic jam.

The invention provides a traffic accident responsibility definition method. The traffic accident responsibility definition method comprises the following steps: 1. providing a vehicle-mounted communication terminal and remote terminal equipment, wherein the vehicle-mounted communication terminal comprises a micro-control unit and a storage module; and the threshold of acceleration of a car is stored in the storage module; 2. providing a car with an electronic control unit, and electrically connecting the vehicle-mounted communication terminal with an electronic control unit; 3. circularly acquiring the running parameters of the car through the electronic control unit when the car runs; 4. acquiring the car running parameters and the geographic position information through the vehicle-mounted communication terminal, and storing the car running parameters and the geographic position information into the storage module; 5. calculating the real-time acceleration of the car through the micro-control unit, and if the change value of real-time acceleration is greater than the preset threshold, and transmitting the car running parameters and the geographic position information within the preceding period of time to the remote terminal equipment through the micro-control unit; and 6 analyzing to obtain the running state and the movement track of the car, and then determining the responsible party of the traffic accident.

The invention relates to the technical field of intelligent traffic signal lights, in particular to a dynamic controllable intelligent traffic information prompt system based on big data. The dynamiccontrollable intelligent traffic information prompt system based on the big data comprises a central system module, an information acquisition module, an extensible control management end, a client end and a display terminal, wherein the central system module comprises a data storage module based on Hadoop, a distributed deep learning module, a satellite communication transmission module and a computer cluster, and the computer cluster is used as a running carrier by the data storage module based on the Hadoop and the distributed deep learning module; the information acquisition module comprises a vehicle flow information acquisition module, a human flow information acquisition module, a pavement information analysis module, a weather information acquisition module and a data translation module; the client end comprises a user terminal APP and a developer terminal APP; and the display terminal comprises a traffic information light and a speaker. According to the dynamic controllable intelligent traffic information prompt system based on the big data, self-learning is achieved, the more intelligent, more humanized intelligent transportation system is formed, and it is suitable for popularization.

The invention relates to intelligent management complete equipment of a public electric vehicle through photovoltaic power generation. The complete equipment comprises a photovoltaic electric vehicle shed, the electric vehicle with a card reading billing device, an intelligent cellular charging box and an automatic charging locking pile. The photovoltaic electric vehicle shed supplies a power source to the electric vehicle, the intelligent cellular charging box and the automatic charging locking pile are arranged in the photovoltaic electric vehicle shed, and the intelligent cellular charging box conducts automatic charging management on a storage battery of the electric vehicle. The electric vehicle can achieve return billing management through the automatic charging locking pile. The card reading billing device is additionally arranged on the electric vehicle, the storage battery can be quickly replaced through the intelligent cellular charging box with the intelligent unlocking billing function, and self-service vehicle fetching can be achieved by utilizing automatic charging locking piles of different structures. Intelligent renting and charging management of the electric vehicle can be achieved through an intelligent card and a background system, therefore, public traffic pressure is effectively relieved, traffic jams are avoided, and economic benefits and social benefits are remarkable.

The invention discloses a compatible no-parking vehicle management system and a control method thereof, which belong to the technical field of parking lot vehicle management. The problems that the traditional parking management system has big upgrading difficulty and can not be compatible with the traditional no-parking vehicle management system can be mainly solved. The compatible no-parking vehicle management system comprises a vehicle barrier gate, a vehicle-mounted wireless radio frequency card, a wireless radio frequency antenna, a front-end data processing system and a wireless barrier gate remote control, wherein the wireless radio frequency antenna is used for receiving a signal emitted from the vehicle-mounted wireless radio frequency card; the front-end data processing system is used for processing a signal received by the wireless radio frequency antenna; the wireless barrier gate remote control remotely controls the vehicle barrier gate according to the processing result of the front-end data processing system; and the wireless radio frequency antenna, the front-end data processing system and the wireless barrier gate remote control are installed in the parking lot. The compatible no-parking vehicle management system can be independently used, can be completely compatible with the traditional parking management system to mutually manage vehicles in the parking lots and has low construction cost, the phenomenon of queuing in the parking lot can be effectively avoided, parking times are reduced, oil consumption is lowered, and crude oil resources are saved.

The invention relates to the technical field of public transportation and provides an urban overhead road-cross wide bus system. The urban overhead road-cross wide bus system comprises a bus, bent frame columns, a track beam unit and passenger get-on and get-off platform units, wherein the track beam unit comprises two track beams arranged in parallel, the track beams are laid in the extending direction of a road, and steel rails are laid on the track beams; the bent frame columns used for supporting the track beams are arranged between the track beams and the parts, on the two sides of the road, of the ground; the passenger get-on and get-off platform units are arranged beside the track beams and are close to the track beams; wheels of the bus are matched with the steel rails, and the width of the bus is matched with that of the track beams. The urban overhead road-cross wide bus system can solve the jam problem of the bus, improve the passing efficiency of the bus and also improve the passing efficiency of common motor vehicle on the road.

The invention discloses a route cluster planning method, which is applied to vehicle navigation. The method comprises the following steps: carrying out route generation on a navigation source address and a destination address of users at minimum cost; dividing groups according to the navigation source address and the destination address of the users to generate road net groups; and generating a traffic flow demand resource expectation according to the divided road net group and distributing the optimum road resource in combination with the road condition. The mutual interference between the vehicle passing behaviors in different groups is minimum, the load balance is realized, routes are reasonably planned, the traffic resources are fully utilized, the flow of load in an urban road net is effectively balanced, traffic jam of urban roads is alleviated and relieved, and the technical effect of traffic capacity of the urban road net is greatly improved.

This invention is a construction of bridge built on the crossing. It contains first erect bridge and second erect bridge are half-moon, and parallel each other; two oblique bridges are connected with first erect bridge and throughout under from second erect bridge, besides these there are two oblique assist bridges, they are arranged interlocking and are connected with the second erect bridge and throughout under the first erect bridge. The vehicle with same direction pass straightly through the first erect bridge pass throughout of the top of this erect bridge, then along the assistant oblique bridge turn left or return and turn right directly, the vehicles on the other direction pass through the oblique bridge and erect bridge turn left and return.

The invention discloses a vehicle and traffic light two-way information exchange controller. A traffic light intelligent module is connected with a vehicle-mounted intelligent module through a wireless communication module, an input end and an output end of the traffic light intelligent module are respectively connected with a central processing unit (CPU) module and a signal switch module among traffic lights, an output end of the traffic light intelligent module is connected with an input end of a driving circuit, and an output end of the driving circuit is connected with input ends of the traffic lights. The vehicle and traffic light two-way information exchange controller has the advantages that a traffic light system is not controlled by a fixed program, the time for a red light or a green light in each direction can be determined by collected driving direction information of each vehicle and the traffic flow according to information transmitted from every adjacent crossing, and the traffic lights transmit the information collected at the crossing of the traffic lights to adjacent crossings, can collect road condition information of every adjacent road, can transmit the traffic flow information of every adjacent road to a driver in each vehicle, and can display the best running speed or the best running time of each vehicle for passing the next crossing.

The invention, which belongs to the field of intelligent driving technology, relates to a V2X-technology-based smart traffic light method for a vehicle passing intersection so that problems of economic and comfortable reduction and traffic congestion caused by improper driving of the existing intelligent vehicle can be solved. The method comprises: a smart driving function of an intelligent vehicle is enabled; the intelligent vehicle receives position and speed information of the vehicle and a vehicle in front of the intelligent vehicle and traffic light state information simultaneously; a candidate acceleration sequence of the intelligent vehicle is generated and a speed matrix and a position matrix of the intelligent vehicle within a prediction time domain are generated by combining thespeed and position of the intelligent vehicle; according to the position and speed of the vehicle in front of the intelligent vehicle, a speed matrix and a position matrix of the vehicle in front of the intelligent vehicle within a prediction time domain are generated; a total cost corresponding to each candidate acceleration speed of the intelligent vehicle is determined and the candidate acceleration speed with the minimum total cost is used as an expected acceleration speed; and on the basis of the expected acceleration speed and a corresponding expected speed, the intelligent vehicle passes a traffic light at an intersection. Therefore, the intelligent vehicle can passes the traffic light economically and comfortably; and the traffic congestion problem caused by improper driving is solved.

The invention provides an intelligent driving vehicle traveling control method and belongs to the technical field of intelligent driving. The problems that due to improper driving of an intelligent driving vehicle in the prior art, economical efficiency and comfort are reduced, and traffic congestion is caused are solved. The method includes the following steps that an intelligent driving functionof an intelligent driving vehicle is started; whether a traffic light exists within the set distance in the advancing direction of the intelligent driving vehicle or not is detected, and if the traffic light exists within the set distance, the intelligent driving vehicle receives information of the positions and the speeds of the own vehicle and a front vehicle and the state of the traffic lightat the same time; the expected accelerated speed and the expected speed of the intelligent driving vehicle for passing through the traffic light are generated, and the intelligent driving vehicle passes through the intersection traffic light according to the expected accelerated speed and the expected speed; and whether a traffic light exists within the set distance in the advancing direction of the intelligent driving vehicle or not is detected continuously. The intelligent vehicle economically and comfortably passes through the intersection traffic light, and a traffic congestion problem caused by improper driving is solved.

The invention relates to a groundwater feeding system used to collect rain and avoid blooding ground, wherein the invention is characterized in that: it arranges garage parking; arranges cover plate above the road, to form the rail collecting system with roof of garage parking, cover plate and parks. Said part has water pools to collect the rain; the upper water pool of water pool can keep the water level; the circumference of park is arranged with baffle wall, to avoid the rain to flow into the road, and leak abundant rain into ground, to feed the groundwater.

The invention discloses emergency equipment for quickly clearing traffic congestion. The emergency equipment comprises a motorized delivery vehicle and a folding simple steel bridge which is arranged on the motorized delivery vehicle, wherein the folding simple steel bridge has a hinge structure which is formed by connecting a plurality of sections of bridge bodies by using hinges; a stretch driving mechanism and a locking mechanism are arranged between adjacent sections of bridge bodies; the motorized delivery vehicle is provided with a rotary disc; and the rotary disc is connected with one section of bridge body through a lifting mechanism. The emergency equipment for quickly clearing traffic congestion can quickly reach a site of traffic congestion through the vehicle-mounted folding simple steel bridge, and the folding simple steel bridge can be stretched by standing on an unblocked half-range road on the other side of one-way traffic congestion, so that vehicles on the half-range road in traffic congestion can be drained, and the problem of traffic congestion is solved.

An embodiment of the invention discloses a vehicle formation method and system based on a V2I (vehicle-to-infrastructure) cooperative technology and relates to the technical field of V2I cooperation.The method comprises the steps as follows: a vehicle A periodically broadcasts pre-formation information, wherein the vehicle A is any vehicle with a V2V (vehicle-to-vehicle) cooperation function; a vehicle B communicates with the vehicle A through a V2V device after receiving the pre-formation information of the vehicle A to construct a queue, and a pilot vehicle and a first formed vehicle are determined according to a formation rule; the first formed vehicle sends formation completion information to the pilot vehicle; the pilot vehicle periodically broadcasts formation information; any vehicle C joins the queue after receiving the formation information to become a second formed vehicle to the Nth formed vehicle; vehicles are forbidden to join the queue until the length of the queue reaches pre-formation length of the pilot vehicle or the formed member number reaches a preset member number of the pilot vehicle. The vehicle formation method and system can solve the problem of low efficiency of vehicle formation running methods in the prior art.

The invention discloses a continuous multi-trough tea processing machine, comprising a tea roasting part and tea drying part. The roasting part with a group of circular troughs is arranged on the processing machine body; an electric roasting paddle for stir roasting and pushing the tea forward is arranged on a drive shaft at a central part of each trough; heating units are positioned at the bottom of the troughs; both the electric roasting paddles and the heating units are controlled by an automatic control system. The drying part is provided with a tea conveyer, and is also controlled by the automatic control system; a cooling and annealing device is arranged between a tea outlet of the toasting part and a tea inlet of the drying part; except the tea inlet and outlet, the rest parts of the tea conveyer is sealed in a heat toaster with heating units. Venting conveyor machines are adopted for the cooling and annealing device and the tea conveyer as well. Since the cooling and annealing device is applied and the boasting is used to realize parching and aroma enhancing, the complete tea processing flow from continuous multi-trough roasting and initial roasting through the connecting conveyer, cooling and annealing, to aroma enhancing is thus realized. The continuous multi-trough tea processing machine is particularly suitable for the production of famous green tea.

The present invention discloses an air suspension train for rail haulage and space launch and its special-purpose equipment. It is formed from air compressor, jet slide plate, slipper and train body, trackway component and power device. It utilzies the air bearing effect produced by jet slide plate to implement microresistance glide, and uses the diagonal bridge overhead rail. It is simple in structure, light in weight, reliable, can run at ultraspeed and can economize lots of energy source, and is a traffic tool combining the advantages of air cushion ship and cable car railway, etc. and can implement supersonic acceleration aviation by utilizing aerospaceplane.

The embodiment of the invention provides an intersection traffic signal lamp timing optimization method and device, and the method comprises the steps: obtaining the multi-source traffic data of a target intersection, and building a traffic operation state model; and based on the traffic operation state model and a preset initial signal lamp timing scheme, optimizing the initial signal lamp timingscheme by adopting a reinforcement learning method. In the intersection traffic signal lamp timing optimization method and device, multi-source traffic data of the intersection are collected to establish a traffic operation state model, traffic flow passing through an intersection is divided into a stable traffic flow state under a conventional condition and a dynamic traffic flow state caused byweather or traffic accident influence. Based on the traffic operation state model, a reinforcement learning method is used to optimize the traffic signal lamp control of a single intersection, the urban traffic jam problem can be effectively solved, and the intersection motor vehicle passing efficiency is improved.

The invention relates to an elevated passenger railway with parallel elevated road upper and lower lanes respectively arranged at both sides of a line, belonging to the technical field of railway and road construction and solving the problems that a permeation ground environment under a traditional passenger railway elevated is not utilized, a city circle does not simultaneously satisfy a public traffic road mode and road network which has high speed, large rated passenger capacity, convenience of transfer and good accessibility and can keep permeation of the ground, and the number of cars on the road is large to cause urban traffic congestion. Based on the technical scheme, the upper and lower lanes of a parallel elevated road are respectively arranged at both sides of an elevated passenger railway line and a passenger station at a short range, a passenger can transfer between a highway and a railway at a same station, forwards and reversely transfer at the short distance, and the parallel elevated road can fulfill the functions of blocking, absorbing and scattering railway noises. The invention has the purposes that a highway and a railway are parallel matched for complementing in actions to enable a region along the elevated passenger railway line to form an urban region which is beneficial to business enterprise development and has relatively balanced working places and resident places, large scale and high population, and solves the problem of urban traffic congestion considered from the whole city circle construction.