496 results about "Intelligent transportation system" patented technology

The invention discloses a real-time road condition acquiring, analyzing and back-feeding and intelligent transportation integrated service system, which is divided into two parts of an intelligent terminal host and a server-side server farm. The intelligent terminal host consists of electronic map application, GPS receiving, p2p data transmission, navigation, voice control, general message checking and a communication module; the server-side server farm consists of vehicle information and public TMC receiving, data integration and filtration, road condition analysis, road condition forecast, electronic map management and maintenance, dynamic information prompt, advertising publishing, data feedback and publishing, a server-side data base, parking space information collection and treatment, road section codes, road condition codes, road planning analog and a communication module. The invention has wide road condition information acquisition source, strong data handling capacity, can carry out highly-accurate real-time road condition analysis, road condition information forecast, path planning navigation, information inquiry and the like, and can be widely applied in the fields of road planning, intelligent traffic management, vehicle navigation, car scheduling and the like.

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 provides a vehicle license plate recognition method based on a video. According to the vehicle license plate recognition method based on the video, moving vehicles are detected and separated out with the vehicle video which is obtained through actual photographing by means of a camera serving as input, the accurate position of a vehicle license plate area is determined by conducting vertical edge extraction on a target vehicle image obtained after pre-processing, a vehicle license plate image is separated out, color correction, binaryzation and inclination correction are conducted on a vehicle license plate image, each character in the positioned vehicle license plate area is separated to serve as an independent character, feature extraction is conducted one each character, obtained feature vectors are classified through a classifier which is well trained in advance, a classification result serves as a preliminary recognition result, secondary recognition is conducted on the stained vehicle license plate characters according to a template matching algorithm imitating the visual characteristics of human eyes, and then a final vehicle license plate recognition result is obtained. The vehicle license plate recognition method based on the video has the advantages that hardware cost is reduced, the management efficiency of an intelligent transportation system is improved, the anti-jamming performance and the robustness are high, the recognition efficiency is high, and the recognition speed is high.

A method and apparatus for providing a proof of delivery verification for freight transportation systems. A vehicle transmits an indication of arrival at a destination. A remote station receives the indication and validates the arrival of the vehicle. If the arrival is validated, a proof of delivery verification of a delivery associated with the arrival is provided to a shipper, carrier, or other interested party.

The invention relates to an electromobile charging path planning method based on an intelligent transportation system, belonging to the technical field of operation and control of electric systems. The electromobile charging path planning method comprises the following steps of: firstly, a traffic control center judges whether an electromobile needs to be charged according to information of the electromobile; if necessary, an owner is prompted to charge the electromobile; the traffic control center searches all charging stations in the maximum range of the electromobile as candidate charging stations and calculates the charging probability of the electromobile in each charging station; a charging load is predicated according to the charging probability and is transmitted to an electric system scheduling center, and the electric system scheduling center calculates the allowable maximum charging power of each charging station and transmits the allowable maximum charging power to the traffic control center; and the traffic control center transmits traveling and charging total time sequence obtained according to the maximum charging power to the owner. The electromobile charging path planning method provides an optimal charging path for the owner of the electromobile and improves the traveling efficiency of the owner. In addition, the operation requirements of the electric system are sufficiently considered in the selection of the charging stations, and therefore the safe operation of the electric system is guaranteed.

The invention discloses an intelligent public transportation system with unmanned driving and field return charging functions.The intelligent public transportation system comprises a management platform, a vehicle-mounted terminal, a network traffic control system, a user terminal, a charging station management terminal and a cloud data management terminal.The vehicle-mounted terminal comprises an unmanned intelligent driving system, an automatic charging electricity receiving system, a vehicle status monitoring system, an identity information recognition system and a charging system, all of which are connected with the management platform.The unmanned intelligent driving system and the vehicle status monitoring system are both connected with the cloud data management terminal.The identity information recognition system and the charging system are both connected with the user terminal, and the identity information recognition system is connected with the charging system.The charging station management terminal is connected with the cloud data management terminal.The electric vehicle technology and the unmanned driving technology are combined, a cloud data analysis and intelligent management system achieves a special vehicle use operating mode, and on the premise that safe vehicle use is guaranteed, an individual, intelligent and green public transportation means is provided for a user.

The invention discloses a visual computing-based optical field imaging device and method. The visual computing-based optical field imaging device comprises an optical imaging system, an integrated near-infrared light source, a data transmission module, a high-capacity cache unit, a human-machine interaction device, a logic control unit and a processing unit. The invention provides an optical field imaging device based on a computing and imaging interactive mutual-beneficial mode; and with optical field imaging as the leading and deep perception and high-dynamic range imaging as the assistance, visual perception intelligent and visual cognition precision are realized, novel visual information with characteristics of large depth-of-field, wide dynamic range, actual three dimension, high resolution and capability of collecting and editing is obtained, and accuracy and robustness of a visual computing task are improved through data innovation of a visual perception source; and the optical field imaging device is widely applied to the fields of internet of things, security monitoring and control, biological recognition, intelligent transportation system, aerial remote sensing, digital medical treatment, animation media and the like.

The invention discloses a sea fog image automatic defogging method and a sea fog image automatic defogging system based on a dark channel and Retinex, and belongs to the technical field of image information processing. The method comprises the following steps: (1) calculating a dark channel image of an input image; (2) calculating the proportion of the low-value pixels of the dark channel image, and calculating the brightness and contrast characteristics of the input image; (3) automatically classifying the image according to the proportion and the characteristics calculated; and (4) processing a to-be-processed image according to the category of the image. The invention further discloses a sea fog image automatic defogging system based on a dark channel and Retinex. According to the invention, an image can be classified according to the attribute of the image, and a corresponding processing method can be selected adaptively. The contrast and definition of sea fog images are improved greatly. Moreover, the algorithm has low complexity and high operation speed, and thus can be used in a maritime intelligent transportation system.

The invention relates to a vehicle abnormal behavior detection method based on Hidden Markov Model. The method includes of a, video images collection: utilizing cameras across above roads or standing on two sides of the roads to collect video images; b, track acquirement: extracting and following the tracks of target vehicles in scenes through the collected video images to acquire vehicle tracks; c, off-line training: clustering growth direction characteristics of the tracks, acquiring typical track groups through error screening process, studying the Hidden Markov Model with the tracks of the same growth direction to acquire a normal behavior mode in the scene; and d, real-time detection: extracting new tracks, calculating the maximum matching probability value of the new tracks and the normal behavior mode, and if the acquired maximum matching probability value is smaller than a set threshold value, judging the vehicles to have abnormal behaviors. Vehicle abnormal behaviors in the scene can be effectively recognized and the technological means can be provided to traffic behavior understanding and intelligent transportation system management.

The invention discloses a method for extracting real-time urban road traffic flow data based on mobile phone positioning data. The method comprises the following steps of: 1, preprocessing the mobile phone positioning data and map data; 2, determining a candidate matching road section of the mobile phone positioning data and a rough matching point set of each road section; 3, extracting vehicle-mounted mobile phone data, namely determining a fine matching point set of each road section; and 4, calculating space mean speed of the road section by a space speed weighted average method. The method is a dynamic and real-time traffic flow data acquisition method with a large coverage area and low acquisition cost; a traffic information acquisition mode and a source of an intelligent transportation system are enriched; and the method has positive significance to constructing the urban intelligent transportation system and improving the road operation management level.

The invention discloses a wireless security communication method and system for ensuring the security of wireless communication in an intelligent transportation system, improving the data processing efficiency and reducing the complexity of security communication. The method comprises the following steps: at least one first secret key and identification information thereof are respectively stored in an OBU (On-Board Unit) and a CCS (Central Computer System) server; and the OBU is used for generating a second secret key on the basis of a random number and the first secret key after a digital certificate of the CCS server is passed through verification, encrypting information to be transmitted by adopting the second secret key, and then sending the identification information of the first secret key and the random number which generate the second secret key, and the information encrypted by the second secret key to the CCS server. The invention simultaneously discloses a wireless security communication system.

A method for intelligently managing a transportation network is provided. The method may include providing a roadside apparatus 18 to communicate with nodes 14A to 14D associated with vehicles 12A to 12D in a transportation network, the vehicle nodes being in a neighborhood range of the roadside apparatus. The roadside apparatus may dynamically detect the presence of a node 14A associated with a first vehicle 12A, and establish a mobile Internet Protocol (IP) network between the roadside apparatus and the first vehicle's node. The roadside apparatus 18 receives, in real-time, from the first vehicle's node 14A event data of events associated with the first vehicle 12A over the mobile IP network. The roadside apparatus 18 or nodes 14A to 14D may further receive or transmit real-time command data to control subsystems of a vehicle.

The invention relates to the field of the intelligent transportation system, and especially relates to short-term traffic flow forecasting with use of a parameter value sequence of a road segment. A short-term traffic flow forecasting method based on a hidden Markov model comprises the following steps: collected data are processed and counted; a prediction window is set; a starting time measured value of the prediction window, and an average parameter value and a sequence contrast ratio in the prediction window are discretized, so as to form a hidden state and an observation state set of the hidden Markov model; and a Baum Welch algorithm combined with training data are used for learning the model parameter. Finally, for a certain prediction window, a Viterbi algorithm is used to obtain an optimal hidden state sequence based on a known observation state sequence, and a last state of the optimal hidden state sequence is a prediction state. The short-term traffic flow forecasting method based on the hidden Markov model can be used to predict the short-term traffic state in the future, and is an effective method of prediction of the short-term traffic state.

The invention provides a vehicle interval measurement method based on visible-light communication. Vehicle interval measurement is a basic function needed in an intelligent transportation system. The method adopts the visible-light communication and an image processing method to measure interval between vehicles. A pair of LED tail lights of a front vehicle transmits a modulation optical signal comprising an identity mark, the width of a vehicle body, the interval between the tail lights and other information backwards; a back vehicle utilizes an area-array photoelectric sensor to acquire an image of the front vehicle and receives the optical signal transmitted by the front vehicle; and the interval, relative velocity and relative position between two vehicles are calculated according to extracted communication information and the positions of two vehicle lights in the image.

A method, apparatus and computer program product are therefore provided according to an example embodiment to provide a cellular based ITS environment. The cellular based ITS environment may be configured based on LTE based interfaces. In this regard, a method includes receiving configuration information from a first access point, wherein the configuration information defines an ITS target area comprising at least the first access point and a first RSU. A method also includes receiving an ITS paging message from the first access point. A method also includes causing a reselection of the first RSU while in the communications range of the first access point in the ITS target area and in response to the received ITS paging message.

The invention belongs to the technical field of intelligent transportation and in particular relates to an intelligent secure delivery system. The intelligent secure delivery system includes an intelligent secure cloud box, an intelligent cloud platform, a consigning terminal, a delivering terminal, and a receiving terminal. The intelligent secure cloud box is connected with the intelligent cloudplatform. The intelligent secure delivery system fully takes advantage of the IoT information technology, realizes the designated delivery of a delivery worker in a transportation link and the designated opening of the intelligent secure cloud box by a consignee, and ensures the confidentiality and the security during the transmission of the goods. A monitoring device is disposed in the boxto timely and accurately understands the storage and transportation state and storage and transportation path of valuables in the intelligent secure cloud storage in a storage and transportation process. Inaddition, the intelligent secure cloud box has an extremely wide application range, protects the information safety of data and equipment in the transportation process government, military, finance, public security users, can also be used as a tool for the improvement of security systems, and has important economic, military, and application values.

An intelligent transportation system that utilizes identification codes, databases and preprogrammed action steps contained within those databases is presented. The system thereby allows rich transportation communications to be made to the operators of vehicles while making optimum use of available networking bandwidth.

The invention discloses a parallel plug-in hybrid electric vehicle (PHEV) energy management method based on an intelligent transportation system. The parallel PHEV energy management method based on the intelligent transportation system mainly comprises the steps that a reference SOC generating algorithm and a PHEV parameter self-adaptive vehicle control algorithm are used as the bases for predicting the working condition; the working condition information such as the front path traveling mileage, the road gradient, traffic light signals and vehicle speed distribution is obtained through an ITS system according to the reference SOC generating algorithm, and the predicted working condition of a front path is generated through a working condition predicting algorithm; the required traveling power, the vehicle speed distribution characteristic and the traveling mileage of the front path are calculated according to the predicted working condition, and the reference SOC (SOC ref) is generated through the reference SOC generating algorithm; and real-time online adjustment of the a PHEV control threshold parameter is achieved through the PHEV parameter self-adaptive vehicle control algorithm according to the SOC ref, and the engine torque and the motor torque are distributed reasonably. By the adoption of the parallel PHEV energy management method based on the intelligent transportation system, online adjustment of the control parameter of a PHEV energy management strategy can be achieved according to the front traveling working condition, the electricity quantity of batteries is distributed and used reasonably, and the operating efficiency of an engine and the economical efficiency of a PHEV are improved.

The invention discloses a car plate detection method based on a multiple feature and low rank matrix representation. The car plate detection method based on the multiple feature and low rank matrix representation includes: (1) inputting an image; (2) extracting color features and self-adaption LBP operator features; (3) obtaining a multiple feature and low rank matrix representation model; (4) dividing and solving the model so as to obtain a sub model; (5) outputting a fake car plate area and obtaining a final accurate car plate area; (6) correcting a car plate and outputting an image after being positioned. The car plate detection method based on the multiple feature and low rank matrix representation combines a plurality of features of the car plate, can effectively improve robustness and accuracy of car plate detection, reduces false detection rate, and can be used in an intelligent transportation system.

An intelligent inspection system for electrical devices comprises the multiple electrical devices, an intelligent inspection mobile terminal, a remote data center management information system and an inquiring terminal, wherein each electrical device is provided with local data collecting sub-systems and positioning identification, and the local data collecting sub-systems are used for collecting running parameters of the electrical devices where the local data collecting sub-systems are located; the intelligent inspection mobile terminal is in communication connection with the local data collecting sub-systems and the positioning identifications through wireless communication, the corresponding local data collecting sub-system is started through the positioning identification to transmit the running parameters of the electrical device where the local data collecting sub-system is located to the intelligent inspection mobile terminal, and the running parameters serve as inspection data; the remote data center management information system is in communication connection with the intelligent inspection mobile terminal through wireless communication and receives, saves and manages the electrical device inspection data collected by the intelligent inspection mobile terminal; the inquiring terminal is in communication connection with the remote data center management information system through the Internet so that the historical inspection data of the electrical devices can be inquired. The intelligent inspection system can effectively improve the working efficiency, and overcome the problems that in a traditional inspection mode, manual entry of the inspection data is needed, the inspection data is input to the information management system not in time and efficiency is low.

A water transportation system and method are described, generally related to water amusement attractions and rides. Further, the disclosure generally relates to water-powered rides and to a system and method in which participants may be actively involved in a water attraction. This transportation system comprises at least two water stations and at least one water channel connecting the at least two water stations for the purpose of conveying participants between the at least two water stations. In addition, the water transportation system may include conveyor belt systems and water locks configured to convey participants from a first source of water to a second source of water which may or may not be at a different elevation.