1510 results about "Intelligent transport" patented technology

A public transportation system includes control by highly distributed communications, ultra-light transit vehicles suspended from single or dual rails and powered by electricity. The electric power supplied independently and supplemented by wind generators and solar panels. The transit vehicles, are suitable to transport from one to four persons. The system includes a plurality interconnected rails with main conduits and station conduits to provide non-stop transportation from one station to another station.

A system of cell phone positioning in real time is provided with specialized location device installations on multiplicity of base stations BSs in CDMA and TDMA cellular communication networks. The purpose of the positioning system is to enable tracking and locating large quantities of anonymous mobile cell phones MS in any number of network cells to be used for real time traffic-forecasting systems, emergency services E911, and other client-initiated position requests. Location data thus obtained can be continuously updated from vehicular-based cellular phones, collected, processed and used as a basis for input to intelligent transportation systems, such as real time urban traffic guidance for vehicular congestion and intelligent traffic control systems. The system is capable of covering large urban geographical areas and number of independent cell structures serving thousands of mobile cell phone clients. It is an independent plug-in solution with specialized synchronized location device installations in each cell BS. Centrally located specialized location software based on Time of Arrival (TOA) and Time Difference of Arrival (TDOA) methods for high speed location processing in central Location Database Server (LDS). The inventive system consists of number of component functions: Operator-initiated functions, location device functions and software enabled positioning functions.

The invention relates to a smart dust type transportation sensor, a signal control network and an information transmission system thereof, which comprises at least one of smart dust traffic state sensor nodes and control / relay nodes which are installed on a traffic lane, at roadside or in a place and at the proper position of the space thereof, at least one base station installed at the roadside or the proper position or an upper-layer device provided with the base station, wherein, the smart dust sensor nodes comprise at least one traffic state sensor element or traffic state acquisition component, a smart dust component and a group of local power supply devices for supplying power for the electric circuit of the nodes, the smart dust control / relay nodes comprise a smart dust component and a group of local power supply devices for supplying power for the electric circuit of the nodes, and the base station comprises a gateway and a smart dust component. The invention can be used for constructing various smart dust type intelligent transportation systems, anti-theft systems, security monitoring systems and early-warning systems.

The invention discloses an all-round intelligent guiding system and method for a large parking lot, and belongs to the field of intelligent traffic. The system disclosed by the invention comprises a guidance-initializing inlet unit, a guidance-stopping outlet unit, a guidance-path planning server, an anti-jamming coordinated controller, a guidance-indicting subsystem and a parking-space information-monitoring subsystem. Parking, vehicle taking-out and exit-guiding services are intelligently provided for a driver in the whole process from entering the parking lot to leaving the parking lot through the system by adopting a fork-passing triggering-type guidance-path updating and optimizing mechanism on the basis of a radio-frequency technology, a fork-passing triggering-type positioning mechanism and an anti-jamming path-planning mechanism, so that the parking lot is safer, more energy-saving and more highly-efficient in operation.

The invention discloses a license plate localization and identification method based on a high-definition image, comprising the following steps of: (1) carrying out one-time downsampling on the original color images, graying the downsampled images and carrying out vertical edge detection and binaryzation on the images, and carrying out license plate rough localization by utilizing vertical edge information to obtain all candidate license plate areas; (2) mapping all the candidate license plate areas into the original images and sending to a trained cascade Adaboost grader so as to remove non-license plate areas; (3) carrying tilt correction on the license plate areas obtained in the step (2); (4) carrying out character segmentation on the license plate areas obtained in the step (3); and (5) identifying segmented characters. The invention can rapidly and effectively extract a plurality of license plates in different sizes from a complicated scene and can effectively improve the character identification accuracy. The license plate localization and identification method has wide application prospect in the aspects of intelligent transportation, parking lot management, residential quarter management, and the like.

The invention provides a vehicle-express delivery cabinet-unmanned aerial vehicle-based express delivery method. According to the method, express items to be delivered are orderly placed in an express delivery cabinet on an intelligent transport vehicle; after the intelligent transport vehicle reaches a destination based on a planned route, recipients are informed to pick up the express items from the vehicle-mounted express delivery cabinet; if the recipients cannot come to pick up the express items and demand that the express items should be delivered via an unmanned aerial vehicle, a vehicle-mounted controller controls an inner cabinet door of the express delivery cabinet to open, a minisize piler is controlled to take the express items from the express delivery cabinet to a cargo pickup opening of the unmanned aerial vehicle, and at last the unmanned aerial vehicle picks up the express items and completes final delivery. The delivery and transport method designed in the invention is based on combination of the intelligent automobile and the express delivery cabinet and / or the unmanned aerial vehicle; consumption of resources such as labor force, vehicles, fuel and the like can be reduced; express delivery efficiency in remote areas can be improved.

The invention relates to the inertial-navigation-based technology and the satellite real time differential positioning technology. The vehicle accuracy positioning method of the invention utilizes wireless broadband data communication to provide accurate positioning to the vehicle. The vehicle accuracy positioning method combines the inertial navigation, the satellite real-time differential positioning technology and wireless broadband data communication together, provides a seamless positioning system applicable to intelligent transportation, provides real-time, stable and continuous position information from a sub-meter level to a centimeter level to a moving vehicle, and can realize a lane level positioning navigation. The technical scheme of the vehicle accuracy positioning method is that: the vehicle accuracy positioning method comprises a base station and a mobile terminal; a base station is installed near a road and consists of a base station satellite receiving machine and a wireless broadband communication module; and the mobile terminal is installed on the vehicle and consists of a wireless broadband communication module and a combination positioning system.

The invention requests to protect a multifunctional V2X intelligent roadside base station system. The system comprises roadside sensing equipment, an MEC server, a high-precision positioning service module, a multi-source intelligent roadside sensing information fusion module and a 5G / LTE-V communication module. An intelligent roadside device integrating C-V2X communication, environmental perception and target recognition, high-precision positioning and the like is designed, and the problem that multi-device information fusion and integration are inconvenient in intelligent transportation is solved. In the system, a C-V2X intelligent road side system architecture and a target layer multi-source information fusion method are designed. Road side multi-source environment cooperative sensing is combined, real-time traffic scheduling of the intersection is realized by using a traffic scheduling module in the MEC server, and communication and high-precision positioning services are providedfor vehicle driving, and finally the target information after fusion processing is broadcasted to other vehicles or pedestrians through a C-V2X RSU (LTE-V2X / 5G V2X and the like) according to an application layer standard data format, so the driving and traffic safety is improved.

The invention provides an automatic lane line identification method based on low-altitude aerial images. The automatic lane line identification method based on the low-altitude aerial images is applied to the field of intelligent transportation. The automatic lane line identification method based on the low-altitude aerial images comprises the steps that (1) an original image of a road is collected through low-altitude aircrafts, and the situation that the shooting angle of the aerial photography road is in the horizontal direction, and the area of the road is arranged in the middle of the image is ensured; (2) the collected image is converted into a grayscale image, the contrast ratio is improved, the grayscale image is copied, and an edge detection image and a binarization image are obtained according to the grayscale image; (3) connected areas are detected in the edge detection image and the binarization image, and characteristics of the connected areas are recorded; (4) the connected areas are deleted according to the number of pixels of the connected areas, the number of connected boundaries, the size of a bounding rectangle and variance values to obtain a central road line; (5) search is carried out on the two sides of the central road line to find roadside lane lines. The automatic lane line identification method based on the low-altitude aerial images is easy and convenient to calculate, and high in arithmetic speed and reliability, the road portion in an aerial photography video can be effectively extracted, straight roads and curve roads in the aerial images can be detected, and the automatic lane line identification method based on the low-altitude aerial images cannot be disturbed by background changes, and is high in accuracy.

Systems and methods for detecting a domain name in a mobile network session for use in applying mobile policy and enforcement functions based on the domain name. A computing device receives a packet associated with a request from a user equipment to access a domain at a server. The computing device determines a traffic type associated with the packet, the traffic type including one of Hypertext Transfer Protocol (HTTP) traffic, Hypertext Transfer Protocol Secure (HTTPS) traffic, and non HTTP or HTTPS traffic. The computing device determines a domain name based on the traffic type and determines a service to apply to the packet based on the domain name.

The invention relates to an intelligent transportation integration control platform system based on a Web geographical information system technology. The system comprises an equipment integration system portion, an integration application system portion and a center database. The equipment integration system portion comprises a signal control subsystem, an electronic police subsystem, a high definition bayonet subsystem, a video monitoring subsystem, a transportation guidance subsystem and a transportation information acquisition subsystem. The integration application system portion comprises an integration transportation geography information subsystem, a police facility equipment management subsystem, a guard plan management subsystem, a real-time traffic condition issuing subsystem, a bayonet deploying and monitoring alarm subsystem and an integration transportation information service subsystem. By using the intelligent transportation integration control platform system based on the Web geographical information system technology, based on Web GIS, various kinds of intelligent transportation system information resources are highly integrated, and unified command and scheduling of urban transportation security management are realized. Operation and monitoring are convenient and fast. Working performance is stable and reliable. A suitable scope is wide.

The invention discloses an intelligent transport system for an urban railway based on safety communication. The intelligent transport system for the urban railway comprises a DCS (data communication system), an ATS (automatic train supervision), an ATP (automatic train protection), an ATO (automatic train operation), a DTO (driverless train operation) and a MMS (maintenance management system), wherein the ATS, the ATP, the ATO, the DTO and the MMS realize the network connection through the DCS. The intelligent transport system for the urban railway has the advantages that the proper Internet storm influence of a CBTC (communication based train control) is favorably overcome, the safety problem of the train-ground wireless communication is favorably solved, the man-machine interface of the CBTC is favorably unified, the linkage efficiency among the systems under the emergency condition is improved, the ease maintenance of the system is enhanced, and the complete network operation scheme is provided.

The invention provides an intelligent transportation integrated management system, which comprises a traffic signal control subsystem, a video monitoring subsystem, a video illegality snapping subsystem, a traffic guidance subsystem, a high-definition bayonet subsystem, a traffic information acquisition subsystem and a police vehicle scheduling and police telecom subsystem of a global positioning system, and respectively performs information interaction with a center system positioned in a command center through different communication subsystems. The intelligent transportation integrated management system can comprehensively cover various software / hardware subsystems used in the conventional city traffic management, and can manage various traffic facilities and devices.

System and methods are provided for creating perception-based intelligence for augmenting the on-board capabilities of autonomous vehicles and for coordinating the traffic flow of connected-autonomous vehicles. Perception-based intelligence is created on the basis of leveraging the perception outputs of, one or more vision-perception sensors in various locations, while having a field-of-view, or a range-of-perception-sensing, of a pre-determined physical space. Perception-based intelligence is made shareable, in a shared coordinate-frame. Various methods are disclosed for encoding and representing the locations coordinates of perception outputs relating to transient, obstacles and any free-space, such that these encoded outputs, could be efficiently provisioned to various types of connected-autonomous vehicles, either directly or through an intelligent transport system. Systems and methods are disclosed for creating perception-based enablements, such as; look-ahead and non-line-of-sight perception, planned obstacle avoidance ahead of approach, autonomous-traffic flow coordination, autonomous-manoeuvre safety guidance, zone entry permissions and priorities for use-of-space or right-of-passage.

A system and method for providing increased traffic carrying capacity of a road, such as a highway, by modifying an existing roadway from, for example, four lanes to five lanes, to create an additional travel lane. The system and method dynamically changes the width of travel lanes using, for example, embedded pavement lights, or other lighting arrangements, in lieu of traditional painted lane lines. As traffic volumes increase and speeds decrease along the road, an intelligent transport system (ITS) sends a congestion signal to the overhead lane controls and dynamic message signs (DMS) along the entire road segment of interest. The posted speed limits are changed, and the lane markings are controlled to dynamically increase the number of lanes in the road segment to five, for example, of narrower widths until traffic volumes reduce and the number of lanes can be returned to four, for example, with normal speed limits.

The invention discloses a real-time traffic condition judging method based on a time window. The method comprises the following steps of: performing data preprocessing; performing traffic state clustering initialization through a two-step clustering algorithm; updating the time window to obtain the traffic flow base data of a current time interval; and updating two-step clustering algorithm parameters and a clustering center, and judging the real-time traffic state of the current time interval. According to the invention, based on historical traffic flow base data, the traffic state clustering initialization is performed by a two-step clustering algorithm, and the optimal classification of the traffic state is obtained through primary selection of the optimal cluster number and determination of the optimal cluster number respectively; then, based on the initialization result, the real-time data is introduced, and the data is updated dynamically by use of a storage structure of the time window; and finally, the two-step clustering algorithm parameters and the clustering center are calculated and updated in real time, the optimal classification of the traffic state is re-determined, and the real-time traffic state of the current time interval is judged. The method makes up for the limitation of the conventional traffic state judging algorithm, and is of positive significance to promoting the construction of the urban intelligent transport system.

The invention relates to the field of intelligent transportation, and provides a lane keeping control method, device and system. The lane keeping control method comprises the steps of acquiring courseangle deviation between a current course angle and a target course angle of an automatic driving vehicle and transverse position deviation between a current transverse position and a target transverse position; obtaining a preview road curvature of the automatic driving vehicle; determining a target steering wheel rotation angle according to the preview road curvature, the transverse position deviation and the course angle deviation, wherein the target steering wheel rotation angle is required to enable the transverse position deviation and the course angle deviation to be zero, and enablingthe preview road curvature to reach an optimal road curvature enabling an error between an actual driving track and an expected track of the vehicle to be minimum; and making the vehicle perform lanekeeping according to the target steering wheel angle. By means of the lane keeping control method, the vehicle can keep running according to a current lane under the working condition of a safe running speed, and the requirements for operation stability and safety of the vehicle are met.

The invention relates to a ridesharing dynamic matching multi-grade screening method, which pertains to the field of intelligent transport dynamic ridesharing automatic matching system. The system takes internet or a mobile wireless network as an information interaction platform; registered drivers and hitchers send enquiry requests and provide corresponding information to a server which provides hitching information services; the server dynamically constructs a hitching information network, loads data performs grading matching treatment, and finally sends hitching combined matching results and hitching paths back to enquirers. The server carries out the three-grade matching treatment according to the following steps: 1) performing grade one selection according to time and bypass constraints; 2) performing grade two selection according to the principle of proximity; 3) performing grade three selection according to users' preferences. The system can rapidly match the hitching parties, so as to obtain hitching matching combination which meets the conditions and the recommended hitching path for the users to choose. The system can effectively improve ridesharing efficiency and reduce the urban traffic jams.

The invention discloses an intelligent transportation anti-congestion method. The method comprises the steps that a vehicle-mounted terminal detects the speed of a vehicle and determines the position of the vehicle; a server side receives speed and position data sent by the vehicle-mounted terminal; the server side calculates road congestion indexes according to the speed and position data; the vehicle-mounted terminal receives the data of the server side and displays road congestion conditions; and the navigation of the vehicle-mounted terminal plans to avoid congestion sections according to the road congestion conditions. The invention further discloses an intelligent transportation anti-congestion device. The device comprises the vehicle-mounted terminal, the server side and a traffic light controller. The server side comprises a server. The server is connected with a first network communication module, a second network communication module, a road congestion index calculation module and a statistical analysis module and performs data interaction and control. According to the intelligent transportation anti-congestion system and device, the characteristic of accurate positioning of the vehicle-mounted terminal is adopted, road selection is facilitated for users, and meanwhile, working conditions of traffic lights can be adjusted intelligently.

The invention discloses an ant colony optimization processing method of large-scale multi-target intelligent moving route selection; after data of NTSP target logistics delivery addresses, distances between every two addresses, and M price of cost for passing through each route are obtained, a route planning unit is solved by ant colony optimization technology so as to obtain a specific walking route for intelligent mobile-agent delivery, and the route is outputted to an executive mechanism for realization. When the method is used to solve the problem of large-scale multi-target intelligent moving route selection, the invention has good optimization performance, and has the advantages of parallelism, self-organization, strong robustness, and the like, and the obtained solutions are large in quantity, high in quality, and have strong approximation capability to the real Pareto solution set; the obtained solution set has uniform distribution; the calculation speed is high. The inventioncan be used in intelligent processing units of route planning systems in fields of logistics distribution, intelligent traffic, internet, robots, etc.

The invention discloses an intelligent traffic management system and method. The intelligent traffic management system includes a vehicle traffic monitoring module, a vehicle traffic counting module,a data processing module and a traffic light control module. The vehicle traffic monitoring module collects the images of vehicles in respective directions. The vehicle traffic counting module processes vehicle images and obtains the number of vehicles in respective directions. The data processing module processes the number of vehicles, allocates the priority of passage in respective lanes. The traffic light control module controls the traffic light at a crossroad so as to real-timely adjust the conditions of vehicles in respective directions, such that the traffic light and vehicles are synchronized. The system herein can reduce pull-up times and time of vehicles, makes full usage of current road resources, can effectively mitigate traffic pressure, is especially suitable for installingat crossroads that are prone to traffic jams, and has a wide application range.

The invention discloses a wheel-type intelligent transport vehicle applied to protected agriculture. The wheel-type intelligent transport vehicle comprises a moving platform, a navigation system, an obstacle detection system, a material bearing device and a control system. The moving platform is used for providing power to the wheel-type intelligent transport vehicle; the navigation system, which is at a front end of a chassis of the moving platform, is used for independent navigation of the wheel-type intelligent transport vehicle; the obstacle detection system, which surrounds the vehicle body of the wheel-type intelligent transport vehicle, is used for detecting whether there is an obstacle within a predetermined distance around the wheel-type intelligent transport vehicle and sending an obstacle signal to the control system; the wheel-type intelligent transport vehicle is above the moving platform; and the control system, which is electrically connected with the navigation system, the obstacle detection system and the moving platform, is used for receiving signals sent by the navigation system and the obstacle detection system and controlling motions of the moving platform. According to the provided wheel-type intelligent transport vehicle applied to protected agriculture in the invention, on the condition of unmanned operation, materials for production can be safely conveyed to a plurality of assigned stations along a planned path.

The invention discloses an intelligent traffic light control method and system based on a wireless sensor network. A wireless sensor network system is arranged at a crossroad; the vehicle flow of the cross road and the queuing length of vehicles waiting at the cross road are detected by the wireless sensor; the acquired vehicle information at the cross road is sent to a traffic signal light control node in real time; and the time duration of the red and green lights is calculated by a software algorithm in a self-adaptive manner, and is adjusted automatically to effectively reduce the waiting time of the vehicles, so that the efficiency of the vehicle driving at the crossroad is improved and the automation level of traffic control is improved. The system also can avoid the trouble of pipeline distribution on the broken roads, has the advantages of small volume, low cost and convenience in installation and is suitable for promotion and popularization at the traffic department.

The invention belongs to the field of intelligent transportation, particularly relates to a short-term traffic flow prediction method and system based on hybrid deep learning and devices and aims to solve the problem of low precision of an existing large-scale traffic flow prediction method. The method of the invention comprises a step of acquiring historical traffic flow data of each traffic observation point to be predicted, wherein the historical traffic flow data is r traffic flow data sets of continuous equal-time-length periods before a t moment, a step of merging the historical trafficflow data in each traffic flow data set to obtain corresponding merged data and normalizing each merged data, a step of obtaining a normalized prediction result of each traffic observation point at the t moment by adopting a hybrid deep learning model based on the normalized historical traffic flow data of each traffic observation point, and a step of carrying out reverse normalization on the prediction result to obtain a traffic flow prediction value of each traffic observation point at the t moment. According to the invention, the precision of large-scale traffic flow prediction is improved.

The invention provides a system and method for carrying out the toll authentication in an intelligent transport system. The system provided by the invention comprises a vehicle-mounted unit and an authentication label, wherein the vehicle-mounted unit is installed on a vehicle and used for executing fee reduction in a toll station; the authentication label is installed on the vehicle and arranged to be matched with the vehicle-mounted unit; the authentication label is used for executing the authentication with the vehicle-mounted unit by carrying out the wireless communication with the vehicle-mounted unit; the authentication label is used for determining whether the vehicle-mounted unit is matched with the authentication label or not; when the authentication result shows that the vehicle-mounted unit is matched with the authentication label, the vehicle-mounted unit is allowed to be continuously operated; and when the authentication result shows that the vehicle-mounted unit is not matched with the authentication label, the vehicle-mounted unit enters a failure state, thus the fee reduction can not be executed. The invention can be applied to the intelligent transport system, thereby preventing the vehicle-mounted unit from being stolen in an electronic toll collection scheme.

The invention discloses a passenger going-out behavior analysis method based on subway card-swiping data. The passenger going-out behavior analysis method is characterized in that the subway going-out behaviors can be classified, and the classification results have the obvious and easy-to-observe characteristics, and can be widely used for the intelligent traffic passenger going-out behavior analysis. The passenger going-out behavior analysis method is characterized in that S1, data pre-processing can be carried out; original data can be merged and organized, and passenger going-out records can be acquired; every passenger going-out record comprises a passenger going-out entrance station, an entrance card-swiping time, an exit station, and an exit card-swiping time; S2, characteristics can be extracted; according to the passenger going-out records, the passenger entrance temporal clustering can be carried out to acquire the fixed going-out days of every passenger, and then the passenger going-out characteristics can be acquired after the extraction of the passenger going-out characteristics; S3, passengers can be clustered; the passenger clustering can be carried out according to the passenger going-out characteristics, and the passenger clustering result can be acquired and analyzed.

The invention provides a radio frequency identification (RFID) system applied to identifying a get-in state and a get-out state. The RFID system comprises at least two RFID card readers arranged at an inlet or an outlet, a processing unit connected with the RFID card readers and a storage unit in signal connection with the processing unit, wherein the two RFID card readers are arranged along a traveling line of the inlet or the outlet in a manner of spacing a preset distance; and the processing unit judges the get-in state and the get-out state of a user with an RFID tag according to reading states of the same RFID tag read by the RFID card readers and a historical record stored in the storage unit. According to the RFID system, the correctness of the RFID card readers for determining the get-in state and the get-out state can be improved; and the RFID system can be widely applied to school guards, intelligent traffics and parking lot systems.

The invention relates to an intelligent traffic light control method. The method comprises: video image information of a road vehicle is obtained; pretreatment is carried out on the obtained video image information and a pre-training network model is constructed, a training network is built based on the pre-training network model, pre training is carried out on the built pre-training network, the training network is initialized by using pre-trained network parameters and the training network is trained by using a constructed data set until a vehicle number at a corresponding lane in a picture is detected in real time; and on the basis of original passing time, the detected vehicle number at the corresponding lane used as a parameter is substituted into a crossroad traffic light passing standard and the crossroad traffic light passing time is adjusted in real time. In addition, the invention also relates to an intelligent traffic light control system. According to the method and system provided by the invention, the green light passing time of the crossroad traffic light can be adjusted in real time based on vehicle recognition, so that road congestion can be reduced, the traffic accident can be avoided, and the passing efficiency can be enhanced.

A system and method for providing increased traffic carrying capacity of a road, such as a highway, by modifying an existing roadway from, for example, four lanes to five lanes, to create an additional travel lane. The system and method dynamically changes the width of travel lanes using, for example, embedded pavement lights, or other lighting arrangements, in lieu of traditional painted lane lines. As traffic volumes increase and speeds decrease along the road, an intelligent transport system (ITS) sends a congestion signal to the overhead lane controls and dynamic message signs (DMS) along the entire road segment of interest. The posted speed limits are changed, and the lane markings are controlled to dynamically increase the number of lanes in the road segment to five, for example, of narrower widths until traffic volumes reduce and the number of lanes can be returned to four, for example, with normal speed limits.

The invention discloses an intelligent car and a positioning method used for an intelligent transportation physical simulation platform. Different from a radio frequency identification method in application to an electronic license plate, the positioning method includes the steps that a card reader is arranged inside the car when the intelligent car is positioned and navigated, passive electronic labels are laid on the road surface, and each passive electronic label corresponds to coordinates in a global coordinate system; when the intelligent car passes above the passive electronic labels, the card reader identifies UIDs of the passive electronic labels, and pose information corresponding to the UIDs is determined and used for correcting the position of a miniature inertia navigation system. The simulation platform can be used for experiment research and simulation display on intelligent vehicle coordination in a vehicle-vehicle and vehicle-road network environments, and uses an embedded system carried on the intelligent car for processing positioning information and then directly controlling the car, and therefore communication time is shortened.