102results about How to "Improve traffic congestion" patented technology

The invention discloses an urban road network path planning method for the non-global information and improves efficiency of the urban transportation network through balancing the traffic network flow. A path planning method in the prior art can only calculate the best path for a single vehicle or requires more information and assumptions. In response to the above problems, through periodically monitoring state changes of road segments, intelligently learning and evaluating current road segment congestion indexes and constructing a PST model, the A*R algorithm is utilized for path selection, so the road network state is made to be in a flow balancing state. The method is advantaged in that a large number of experiments show that the method can more effectively balance the traffic network flow and alleviate traffic congestion in the scene with relatively a large number of vehicles and has a good performance in reducing the average driving time and the average driving distance, in addition, the method can significantly improve traffic congestion even when relatively lots of vehicles in the road network do not accept path planning navigation.

The present application discloses a road traffic control system comprising a video traffic information analysis module configured to obtain traffic condition parameters of a road network from video traffic information, a traffic condition prediction module configured to predict traffic condition in a future time according to the traffic condition parameters and obtain a traffic situation prediction result, an actual traffic condition evaluation module for evaluating actual traffic conditions based on the traffic condition parameters according to a traffic condition evaluation model and obtainan actual traffic condition evaluation result, a traffic control decision module for determining a control scheme for controllable traffic elements via adoption of an optimization algorithm accordingto the traffic condition prediction result and the actual traffic condition evaluation result. Traffic conflicts between motor vehicles and the pedestrians as well as non-motor vehicles at intersections in the road network can be reduced, and therefore traffic congestion at the intersections in the road network can be effectively improved.

The invention discloses a ramp cooperative merging controlling method of an intelligent networking vehicle, and relates to the technical field of intelligent networking traffic. The number of vehiclesthat merge to the freeway from the ramp is determined and the merging sequence of the vehicles that merge from the ramp is optimized according to the freeway and the ramp vehicle state information acquired at the freeway entrance ramp in real time, so that the influence on the vehicles driven on the freeway is reduced, and the traffic capacity of the road section is improved. The invention further discloses a ramp cooperative merging controlling system of an intelligent networking vehicle. According to the ramp cooperative merging controlling system of an intelligent networking vehicle, the actual application of the intelligent networking technology in ramp cooperative merging is realized, and the traffic efficiency of the freeway system is improved.

The invention discloses a taxi sharing system and a method based on LBS (Location Based Service) and SNS (Social Network Service). The system comprises a service processing terminal, a client which is interconnected with the service processing terminal, wherein the service processing terminal comprises an LBS information optimization processing module, an SNS interconnection interaction and rights protection platform, an information receiving module and an information sending module, the information receiving module is respectively connected with the input terminal of the LBS information optimization processing module and the input terminal of the SNS interconnection interaction and rights protection platform, the information sending module is respectively connected with the output terminal of the LBS information optimization processing module and the output terminal of the SNS interconnection interaction and rights protection platform, and the client is respectively connected with the information receiving module and the information sending module. According to the taxi sharing system, taxi resource waste in the city is effectively solved, taxi idle seats are used to greatest extent and the purpose of energy saving and environmental protection is realized.

The invention discloses a vehicle dynamic path navigational system. The system consists of a traffic information acquisition subsystem, a communication subsystem, a traffic information comprehensive processing platform and a traffic information publishing subsystem, wherein the traffic information comprehensive processing platform processes and analyzes the traffic information data to obtain inducing information, the traffic information publishing subsystem publishes the inducing information to a site road, the communication subsystem is based on general packet radio service (GPRS) or code division multiple access (CDMA), the traffic information comprehensive processing platform is provided with a data analysis and forecast system and a dynamic path optimization and dynamic traffic flow balanced system. In the invention, the improved Dijkstra algorithm is utilized in the vehicle dynamic path navigational system, the road weight based on the travel time is considered, and the traveling path is optimized, the real-time traffic information and the inducing information are quickened to be published, thereby the traffic operating efficiency of a road network is effectively enhanced, the circumstance that the number of the vehicles exceeds the actual traffic capacity of the road is avoided, and the problem of traffic jam is improved.

The invention provides a single-point intersection signal timing parameter optimization method based on bayonet data. Existing urban intersection signal control is mostly based on profile data of an annular coil detector arranged behind a parking line, and if the detector is badly damaged, travel time, delay and other traffic flow evaluation parameters used for traffic control can not be obtained. According to the basic idea of the method, a bayonet electronic police system is used for obtaining vehicle license plate recognition data, travel time and delay of all phase traffic flow from an upstream intersection to a current intersection are obtained by matching upstream vehicle license plates and downstream vehicle license plates, a signal cycle is obtained through phase saturation degree optimization, and effective green light time of each phase is obtained through optimization according to delay change conditions of different phases. The method for intersection signal timing by means of existing electronic police data is provided, and accordingly investment for arranging intersection detectors can be reduced, and intersection traffic control efficiency is effectively improved.

The invention belongs the virtual simulation technical field, in particular to a macroscopic, mid-scope and microscopic multilevel urban parking demand prediction model integrated system, which comprises a system data module, an urban overall parking demand macroscopic prediction module, a comprehensive development sharing parking demand mid-scope prediction module and a parking garage entrance service level microscopic analysis module, wherein the system data module is used for importing and storing parking demand prediction data; the urban overall parking demand macroscopic prediction module is used for predicting the overall parking demand; the comprehensive development sharing parking demand mid-scope prediction module is used for predicting the largest parking demand of each block and is connected with the urban overall parking demand macroscopic prediction module; the parking garage entrance service level microscopic analysis module is used for predicting a parking garage entrance service situation; and the three prediction modules are respectively connected with the system data module. The macroscopic prediction module not only considers the parking demand of traveling vehicles, but also considers the parking demand of the vehicles which are not on trip, the mid-scope prediction module considers the shared parking demand of multi-nature buildings under the reachability situation of buses, bi-directional correction of the prediction results of the macroscopic, mid-scope and the microscopic modules can be realized, the system quantitatively predict the parking demand of different cities of different levels so as to provide important support for different parking researches.

Disclosed is a steel box type composite beam forming method. A split type processing method is utilized in a bottom box and a plug welding technology and an anti-deformation technology are utilized to effectively solve the problems of positioning of force transmission ribs, deformation of the bottom box and the like, and the prefabrication efficiency of steel-concrete composite bridges is improved by reasonably adjusting production processes. The adopted technical scheme of the steel box type composite beam forming method comprises utilizing steel plates as raw materials, leading the raw materials to be subjected to top plate forming, bottom box forming and wave plate forming, and performing assembling and welding to form a prefabricated steel box type composite beam. According to the steel box type composite beam forming method, assembly line production is utilized and large-scale processing and assembling of bottom boxes can be achieved in factories.

The invention discloses a vehicle dynamic path navigation method for obtaining road condition video information in real time. The method comprises a navigation device firstly calculating at least one navigation path from the starting point to the destination according to the topological relation of the road nodes in navigation data; then, matching traffic camera information to the navigation path, calculating the path distance from each traffic camera point to vehicle current point, and meanwhile, carrying out ranking based on the path distance from each traffic camera point to the vehicle current point; and at last, obtaining and displaying real-time dynamic traffic video pictures. The invention also discloses a vehicle dynamic path navigation device for obtaining the road condition video information in real time. The device comprises a path programming module, a traffic camera data matching module, a dynamic traffic video displaying module and a comprehensive control module. Therefore, the traffic circulation efficiency of a road network can be effectively improved, and the problem of traffic jam is greatly improved.

The invention relates to a variable lane real-time control system and method. The system comprises an equipment monitoring subsystem, a lane state studying and judging subsystem, a scheme studying andjudging subsystem and a scheme decision-making subsystem. The variable lane real-time control system and method not only solve a timing switching control mode of a traditional variable lane signal lamp/lane guide plate in the market, but also realize the self-adaptive change according to the real-time traffic flow condition of the intersection, the real-time road right distribution is more reasonable, the utilization rate of road resources is obviously improved, the traffic capacity of the intersection is obviously improved, the urban traffic jam condition can be better improved compared withan old-fashioned timing switching mode, and a wider application range is realized.

The invention discloses a parking lot management system for a mobile terminal navigation vehicle route and a method of the parking lot management system. The method includes the following steps that a radio frequency transmitter is arranged in an induction card got by a driver, and radio frequency devices are arranged on all crossings in a parking lot, wherein the radio frequency devices can receive radio frequency signals transmitted by the radio frequency transmitter in the induction card; a stall occupation detector detects whether a vehicle is parked on a stall or not and transmits the information showing whether the stall is occupied or not to a parking lot controller in real time; the parking lot controller collects vehicle information of all the crossings according to the stall occupation information sent by the stall occupation detector and the information, sent by the radio frequency devices, of vehicles on roads of the parking lot and generates an optimal route for arriving at the route destination; the parking lot controller sends the optimal route to the corresponding mobile terminal number, and the optimal path for arriving at the nearest stall is displayed on the mobile terminal. By means of the system and the method, congestion caused when vehicles are staggered in the parking lot is avoided, time is saved, and the utilization efficiency of the parking lot is improved.

The invention discloses a vehicle periodic lease system and method facilitating vehicle taking and returning. The lease system comprises a vehicle-mounting terminal and a corresponding GPS/GPRS positioning communication module and operation background; the operation background is provided with a data collection device, a database and an application program server. The lease method comprises the steps that information such as a name of a user is filed and registered on the operation background, the operation background collects positioning information of leased vehicles through the corresponding GPS/GPRS positioning communication module, after the user leases a vehicle, the operation background activates cellphone remote control authorization, the leased vehicle is unlocked, and the vehicleis used; after the leased vehicle stops at the specified parking place, it is determined that the vehicle is returned through a vehicle returning key, and an automatic billing system is entered. Thevehicle periodic lease system facilitating vehicle taking and returning is simple and reasonable in structure and convenient to implement, and the corresponding lease method facilitates vehicle taking, using and returning.

The invention discloses a large-scale road network group traffic induction task decomposing method, and belongs to the field of smart traffic, in particular to a large-scale road network group trafficinduction task decomposing method capable of changing signal timing dial. In a conventional path induction, a single function is difficult to describe a mutual relation among a plurality of variables. A plurality of target functions are established for optimal processing. The problem is solved by adopting an immune genetic algorithm, and the immune genetic algorithm is combined with an optimal heuristic search algorithm which adopts an immune theory and a genetic algorithm, and the advantages of the two kinds of algorithms are kept. The problem that the genetic algorithm is lost in local optimal solution is solved, the immune genetic algorithm has search feature, the optimal self-adaptive feature is solved by using a target function, and over-quick local convergence is avoided. A large-scale road network is decomposed into a plurality of induction cells, an induction strategy based on a tree structure chart is adopted, and an induction task is decomposed layer by layer for building aroad network to serve as a specific example for verifying the effectiveness and superiority of the method.

The invention provides a planning and network distribution method of exclusive lanes for urban public transportation and belongs to the field of the urban public transportation, aiming at solving the problems that an existing public transportation exclusive lane is low in service level and a public transportation trip proportion is influenced. The planning and network distribution method comprises the following steps: determining an urban public transportation passenger flow and an public transportation operation speed, establishing a requirement set of the exclusive lanes for the urban public transportation, establishing a public transportation exclusive lane supply set, reallocating urban transportation OD quantity predicted according to urban transportation requirements based on the change of a road impedance function of urban roads after setting an initial public transportation exclusive lane; calculating to obtain the quantity of passengers transported by each road section in a road network in unit time and average trip time of passengers in the road section after reallocating the OD transportation quantity; establishing a connection road section set of a public transportation exclusive lane network, planning road sections in a set R into public transportation exclusive lanes, and communicating the public transportation exclusive lanes to form a network. The method provided by the invention considers the factor that starting and terminal points of the public transportation exclusive lanes can become bottleneck road sections, so that the capability of transporting the passengers by buses is improved, the attraction of the public transportation is increased and the urban traffic jam is relieved.

Embodiments of the invention provide a traffic light control system and method, the system comprises a vehicle sensor, a communication unit, a logic processor, and traffic lights. The vehicle sensor is used for obtaining traffic condition information, and sending the traffic condition information to the communication unit, and the communication unit is used for sending the received traffic condition information to a cloud server, receiving a cloud instruction from the cloud server, and sending the cloud instruction to the logic processor. The logic processor is used for processing the cloud instruction to obtain a traffic light control instruction, and sending the traffic light control instruction to the traffic lights. According to the embodiment of the invention, the system can obtain the traffic conditions of a road in real time through the vehicle sensor. The system achieves the processing of the traffic road condition information through the logic processor and the cloud instruction, and achieves the control of the traffic lights. The system can achieve the planned control of the traffic lights according the real-time traffic conditions and through combining with the cloud instruction, thereby enabling the control of the traffic light to be more flexible, and reducing the traffic congestion.

The invention discloses an intelligent parking method based on an internet of vehicles, and belongs to the application field of the internet of vehicles. The method comprises the following steps: destination information is sent to an internet-of-vehicle service platform through a mobile terminal; the internet-of-vehicle service platform sends parking space information of a parking lot recommended according to the destination information to the mobile terminal; the mobile terminal selects a parking space according to the parking space information of the recommended parking lot; the mobile terminal enables a vehicle to be navigated to the recommended parking lot; a parking lot management system allows the vehicle to enter the parking lot; the mobile terminal enables the vehicle to be navigated to the parking space; and the vehicle drives away from the parking lot. Through coordinative operation among the intelligent terminal, the internet-of-vehicle service platform and the parking lot management system, parking space finding efficiency of each user going out is improved more intelligently, going-out cost of the user is saved, and traffic jam problem in a city is improved; and meanwhile, the method is low in implementing cot, is wide in popularization range and can save manpower resources effectively.

The invention discloses an unmanned shuttle bus and an intelligent networking service system of the unmanned shuttle bus, and the unmanned shuttle bus comprises a bus body, an automatic pilot system,a new energy power supply system, an intelligent vehicle terminal and a wireless communication end, wherein the unmanned shuttle bus further comprises a video call system and a passenger identity identification module; the intelligent networking service system of the unmanned shuttle bus comprises a client mobile terminal application APP, an intelligent vehicle terminal of the unmanned shuttle bus, fixed shuttle station and terminal of the unmanned shuttle bus, a could server and an attendant center, wherein the intelligent networking service system further comprises a wireless communication network of the service system. The implementation of the technical solution can give play to the capacity of urban road space to the utmost extent, significantly improve traffic congestion in cities, create richer passenger travel service scenes, and provide various efficient, convenient, personalized and scenarized brand new riding experience for the passengers.

The present invention relates to a public transport platform, especially to an intelligent public transport platform. The platform comprises a support and a station board. The station board comprises a plurality of public transport line boards. The station board is fixed on the support, a top plate is arranged at the top portion of the support, a solar panel mechanism and a light sensor are arranged at the top plate, the solar panel mechanism comprises a solar panel, a frame and a bracing piece, a rotary table is connected with the lower end of the bracing piece, the rotary table is connected with a motor arranged on the top plate, the solar panel is arranged in the frame, the upper end of the bracing piece is hinged with the frame, a cylinder is arranged on the bracing piece in an inclination mode, and the driving bar of the cylinder is hinged with the frame. According to the technical scheme, the intelligent public transport platform can perform statistics and display of number of people waiting for buses of public transport lines and can remind a bus driver whose bus is arriving whether there are people waiting for this public transport line or not through different colors displayed on an indicator light.

The invention discloses crossroad lanes and a passing method. The passing method comprise setting of traffic signal lights and traffic markings, wherein the set lanes sequentially comprises a right-turn special lane, a left-turn special lane, a left-turn lane, a straight special lane, a straight lane and a right-turn lane from left to right; the right-turn special lane, the left-turn special laneand the straight special lane are reverse-driving lanes; pre-left-turn signal lights are arranged on positions where the straight special lane and the left-turn special lane are away from a front crossroad by a certain distance; a rear lane, corresponding to the pre-left-turn signal light, of the left-turn lane is a reverse-driving straight lane; a rear lane, corresponding to the pre-left-turn signal light, of the straight special lane is a forward-driving left-turn lane. When a car stops at a red lightlamp, no gaps of vehicles on each reverse-driving lane occur, and the car drives through thecrossroad lanes in a manner of matching corresponding traffic light control, so that a red light period is shortened, the vehicle passing quantity in the period is increased, the problem of a conflict of a left turning car and a straight driving car can be solved preferably, the traffic passing capacity of the crossroad is improved, and the traffic jam phenomenon of conventional crossroads is relieved.

The invention relates to a vehicle formation control system and method in an Internet of Vehicles environment, and belongs to the field of Internet of Vehicles. The method comprises an information system and a control system. The control system is in wired connection with the information system and the vehicle physical system, receives information of the information system and executes a control instruction, and comprises a speed controller and an angle controller. On the basis of establishing a pilot following model and a system error model, a Lyapunov stability theory is proposed to design a pilot following speed controller with a time-varying following distance, so that formation vehicles can keep stable following at different distances at different speeds. The method and system have the advantages that the structures of the vehicle information system and the control system are comprehensively considered, the pilot following control model is optimized, the formation driving control problems of formation forming, linear driving, curve driving, vehicle entering and leaving and the like can be solved, and the universality is high. The safety and stability of the formation can be ensured, and the flexibility of the formation and the traffic capacity of roads are improved.