109 results about "Local road" patented technology

Method and apparatus providing supplementary navigation data to be used with a vehicular navigation system. The supplementary navigation data can be superimposed over primary navigation data on a navigation system display or can be presented as a split-screen display. The supplementary navigation data may contain information such as locations of local facilities, local road information, types of local facilities. The supplementary navigation data is received by the vehicle when the vehicle is coupled to a station, such as a battery recharging or a refueling station, and is transmitted to the navigation system. An on-board controller can store the data and / or display the data. The navigation system could use the supplementary data to determine routes or locations for specific local facilities selected by the user. In an interactive or two-way communications system, the user can select predetermined types of supplementary data to be received. The supplementary navigation data is preferably transmitted to the navigation system at a local vehicle station, such as a refueling station, a vehicle rest stop, a vehicle tourist center, etc. Position update information can also be entered for resetting or recalibrating an internally maintained vehicle position.

An on-vehicle gateway is provided that is interposed between a plurality of buses for transferring data, and that is capable of performing appropriate control according to situations.(1) Data coming from one bus are analyzed to filter false data and unwanted data not to feed them to the other buses. (2) When the state of an on-vehicle device is inquired, it is controlled according to the state of an IG power source whether the inquiry is to be made to the device or the on-vehicle gateway answers the inquiry by proxy. (3) The response of the gateway is changed according to the place where a vehicle is traveling. For example, control is performed such that, while the vehicle is traveling on a local road, the transmission / reception of a mobile telephone is available by using a hands-free system, and that, while the vehicle is traveling on an expressway, the transmission / reception of a mobile telephone is unavailable even by using the hands-free system. (4) The response of the gateway is changed according to a driver. For example, if the years of driving experience of the driver is within one year, the gateway stops data transfer so that no television screen or navigation screen is displayed during driving, and that the transmission / reception of the telephone by the hands-free system is unavailable.

The invention discloses a vehicle active collision avoidance system based on VII support, comprising a short-distance wireless communication terminal, a road side base station and a traffic information service center, wherein, the short-distance wireless communication terminal is installed in a vehicle; the vehicle-mounted short-distance wireless communication terminals of the vehicles in local road sections form a wireless communication local area network; a road side base is arranged at a road side, various sensors arranged on the vehicle obtains the data information through uploading and collecting by CAN buses; the short-distance wireless communication terminal is provided with a danger warning information publisher; when the dangerous condition such as potential rear-end collision and the like exists, the danger warning information publisher is activated; the danger warning information is published in a broadcast manner through the short-distance wireless communication; after the short-distance wireless communication terminals on other vehicles receive the danger warning information, a central controller safety status judgment module analyzes the critical following distance required in preventing rear-end collision with abnormal running vehicles in a current running state. The vehicle active collision avoidance system of the invention can effectively reduce time delay and improve reliability.

The invention relates to a k nearest neighbor search method for a variable weight network. The method comprises the steps as follows: routing thinking in a computer network is led in k nearest neighbor query, and predecessor / subsequent information in shortest path tree obtained in computation is taken as history data and is saved in a routing table by designing an update strategy of the routing table. Due to the dynamical update strategy of the routing table, the routing mechanism can adapt to dynamic changes of local road weights in a road net. The k nearest neighbor search method provides the candidate set screening rule and the road net area cutting rule of a non-mobile object as well as the position prediction method and the candidate set screening rule of a mobile object in the dynamical road net, effectively reduces the number of candidate points and narrows down the search range of the k nearest neighbor query, and avoids the defect that indexing and constraint conditions are adjusted frequently because the changes of a k nearest neighbors algorithm are caused by the road weights continuously in the conventional dynamical road net extended from a static road net.

This application discloses a multi-vehicle cooperative location and map building method, device and equipment and a storage medium. The multi-vehicle cooperative location and map building method comprises the steps that a single-vehicle location and map building system obtains vehicle location and local road map data in real time and sends the data to a road 5G infrastructure near a vehicle; the road 5G infrastructure sends the vehicle location and local road map data to a cloud map server in real time; after the cloud map server splices the local road map data into global road map data through a data fusion and splicing algorithm, the global road map data are updated and maintained in real time and sent back to the road 5G infrastructure; and the road 5G infrastructure sends the updated vehicle location and global road map data to nearby vehicles in real time. When self-localization of a single vehicle is realized, cooperative location and map building with other surrounding vehiclesis carried out, constant updating of a local map is realized, a global map is maintained regularly, and the multi-vehicle cooperative location and map building method is more accurate, more efficientand more robust; and meanwhile, the cost is low, and the efficiency is high.

The invention discloses a method for detecting local road segment hazy weather based on a road image. The digital image processing method is adopted to automatically detect the hazy weather condition of a road and achieve automatic alarm. Hazy weather detection comprises positioning a suspected hazy area, removing an air area, evaluating frame visibility and estimating the hazy weather class. According to the method, the hazy weather condition existing in a road monitoring video can be accurately detected in time, manual interpretation is replaced, workloads are reduced, and efficiency is improved.

The invention discloses a GPS spatial-temporal trajectory-based road network topological change automatic detection method and system, and the method comprises the steps: step 1, establishing a local spatial-temporal trajectory vector based on a GPS spatial-temporal trajectory; step 2, establishing a local road topological vector based on road network data and the GPS spatial-temporal trajectory; step 3, measuring the similarity of the local spatial-temporal trajectory vector and the local road topological vector; step 4, extracting changed trajectory points and establishing a road topological relation of a local range of the changed trajectory points; step 5, comparing the road topological relation of the local range of the changed trajectory points with an original road network, thus obtaining the road network topological change. The method can automatically detect the topological and graph change of an urban road network, and realizes the change detection of a road network topology and a road network graph while improving the change detection precision of the road network; in addition, the invention has the advantages of low cost and efficiency.

The invention provides a distributed traffic signal phase difference control structure and a phase difference adjustment method. Two functions of phase difference optimal computation and phase difference adjustment are separated, the phase difference optimal computation is completed by a central computer, the phase difference adjustment relevant to the state of each road junction is completed in a local road junction traffic signal controller, a phase difference adjuster is internally installed in each traffic signal controller, a phase difference generator of the central computer figures out target phase difference of each road junction, then the phase difference generator sends each target phase difference to the traffic signal controller of each road junction, and the traffic signal controllers of road junctions concurrently perform phase difference adjustment computation according to the current phase differences. The distributed traffic signal phase difference control structure and the phase difference adjustment method have the advantages that the central computer can be concentrated on acquisition of optimal phase difference, the phase difference generating algorithm can be carefully selected and optimized, the computing power of numerous road junction controllers can be fully utilized, and simultaneously the autonomous decision-making and autonomous control capabilities of road junctions are enhanced.

The invention discloses a traffic anomaly detection method based on path travel time calculation. The method comprises the steps of (1) establishing a path travel time and road speed history database, (2) detecting an abnormal path, and (3) measuring influence on an abnormal path coverage road. According to the method, a local road anomaly (such as the increase of a single pass time caused by short stop of an individual taxi, and an anomaly which is caused by a short time irregularity of an individual vehicle and can be quickly dissipated by itself) caused by accidental factors can be filtered, if roads are connected and affect each other, the effects of multi-road collaborative influence can be superposed and amplified, and thus a good anomaly detection effect is obtained.

The invention discloses signal dynamic control technology of a junction intersection of an expressway exit ramp and a local road. The signal dynamic control technology comprises the following steps: data collection: automatically obtaining real-time traffic flow data through video detectors arranged in the exit ramp in an expressway and in a junction intersection area of the exit ramp and the local road, wherein the real-time traffic flow data comprise a vehicle queue length of the exit ramp, and the vehicle queue length, a traffic volume and a vehicle arrival rate of each lane in each drivingdirection of each entrance lane of the junction intersection, and judging the operation condition of the traffic flow of the current junction area at different moments. According to the signal dynamic control technology disclosed by the invention, the signal control of the junction intersection of the expressway exit and the local road is optimized based on video real-time traffic information, sothat the occurrence of the decline of the traffic capacity of the expressway main line caused by the congestion of the junction intersection of the exit ramp and the local road can be prevented moreeffectively, the occurrence of traffic congestion is avoided, the traffic efficiency of the junction area and the expressway is maximized, and the signal dynamic control technology has a wide application range.

The invention provides a wireless intelligent control system for a solar street lamp. The wireless intelligent control system for the solar street lamp comprises intelligent controllers, a wireless communication module, a wireless network-organization module and a remote control platform. The intelligent controllers are connected between a storage battery, a light-emitting diode (LED) lamp and the wireless communication module. The wireless communication module is network organized by means of the wireless network-organization module and utilizes the wireless communication network to send the data to the remote control platform far away and is capable of sending orders of the remote control platform down to intelligent controllers. The wireless intelligent control system for the solar street lamp has the advantages of being systematized and intelligentialized. As for the systematization, each previous relatively independent solar street lamp is integrated into an inseparable system through the wireless network. As for the intellectualization, brightness of the LED street lamp can be regulated according to the condition of the local road traffic flow, faulted street lamps can be tested and diagnosed online, the position of the faulted street lamps, the faulted reason and faulted portions can be positioned accurately, so that the solar street lamp is actually intelligent.

The invention relates to a highway pavement condition detection system based on novel visual sensing equipment. The system comprises a controller and a plurality of roadside visual monitoring base stations which are connected with the controller and are arranged on the roadside of an expressway; each roadside visual monitoring base station comprises a visible light camera and an infrared camera, aprogram is carried in the controller, and when the controller executes the program: road surface anomaly detection: adopting a semantic classification network, capturing image data of local anomaly and diseases of a road surface, and detecting a classification result of abnormal conditions of the road surface; multi-element road section image splicing: collecting local road surface images captured by the visual monitoring base stations on each side, extracting feature vectors for matching, and realizing image splicing among different road sections; and multi-source image data fusion: analyzing the difference of overlapped parts of different road section images, and realizing transition fusion of the road section images through a fusion algorithm. Compared with the prior art, the method has the advantages that the anti-interference capability is high, the timeliness of pavement maintenance and management is improved, and the like.

As for the navigation updating history information in an individual navigation device, sorted by a navigation ID which specifies the navigation device, the version of map information currently stored in the navigation device is stored corresponding to each block ID given to an area of an approximately 2.5 km square sorted in three distribution road categories of high standard which represents high standard roads such as national expressways and city expressways, ordinary which represents ordinary roads such as national roads of three digit numbers or more, principal local roads, prefectural roads and municipal roads, and narrow street which represents narrow streets.

A direction-sensing k-nearest neighbor inquiry method of the road network moving object comprises the following steps: step 1, evaluating the inquiry range; 2, constructing a local road network; 3, expanding that direction perceived road network; 4, iteratively expanding the query range; The invention loads a local road network from the road network and predicts the road network distance from thelocal road network node to the inquiry point, thereby realizing the high efficiency of the algorithm. The invention considers the relatively stable 'static' characteristic of the road network and thefrequently updated 'dynamic' characteristic of the moving object, and combines R-Tree efficient and stable query performance and grid index update insensitive characteristics, reasonable use of R-Treeindex road network data, simple grid index moving object, dual index structure to achieve the purpose of rapid updating and efficient query.

The invention provides a paver with a paving amount transverse distribution adjustable material distribution system. According to the paver, the transverse and longitudinal matched material distribution mode is adopted, and therefore materials are distributed more evenly, material paving is quite flat, and a road surface with the quite good quality can be paved. Road surface information is collected through a sensor and a processor, each longitudinal adjusting spiral paving device is adjusted, the feeding amount is adjusted, work of the paver is different from work of a common paver, the paver does not need to carry out reparative paving once more, and the problems of local road surface defects and roadbed misalignment can be solved. Paving and repairing are automatically carried out at the same time, manual operation is reduced, manual repairing is omitted, the working strength of construction workers is reduced, and meanwhile life safety of constructors is ensured well.

The invention discloses a road network carbon emission estimation method serving for low-carbon road traffic planning, and the method comprises the steps: building a fitting function of an emission factor and a speed through an MOVES model carbon dioxide emission factor rule, and building a localized carbon dioxide emission factor database through motor vehicle fuel consumption data; establishing a road network peak hour road traffic volume estimation method based on the road traffic planning parameters; through local road traffic investigation, selecting videos of several important road sections to shoot road traffic conditions, obtaining basic parameters input into VISSIM simulation software, and obtaining average speed distribution of motor vehicles based on VISSIM simulation in various traffic scenes; and finally, establishing a road network carbon emission estimation method to effectively estimate urban road traffic carbon emission. The method can provide a carbon emission data basis for urban low-carbon road traffic planning, is of great significance to optimization of a low-carbon planning scheme and reduction of road network carbon emission, and is beneficial to improvement of an urban sustainable traffic system.

The invention discloses a vehicle-mounted local road-repairing device. A handle is arranged on one side of a frame; and a cleaning device, a storage drum and a rolling device are successively arranged on the frame from one side close to the handle to the other side away from the handle. When the cleaning device works, a damaged pavement is lifted by a drilling part under the rotating effect of a drill bit, and meanwhile, the lifted slag is upward fed by a feeding part, so that the cleaning for the damaged pavement before repairing is realized; a material distributing slot is used for supplementing materials for the cleaned position; and finally, a pressing roll is used for rolling the area supplemented with the materials. Through the optimal design for the vehicle-mounted local road-repairing device, the structure design is optimized, the frame is pulled, the continuous completion of pavement lifting, cleaning, supplementing and rolling is realized, and the local repairing efficiency of the pavement is greatly increased.

The embodiment of the invention provides a road condition information providing method based on an intelligent traffic system and the intelligent traffic system, and the method comprises the steps that an intelligent traffic road side unit generates local road condition information according to collected real-time road data, and transmits the local road condition information to a mobile edge computing platform; the mobile edge computing platform generates global road condition information according to the local road condition information sent by the intelligent traffic road side unit; and the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through the mobile communication public network. Therefore, the vehicle can receive the target road condition information generated by the intelligent traffic system through the mobile communication public network under the condition that the vehicle is not provided with the vehicle-mounted unit. Meanwhile, the target road condition information is generated based on the global road condition information, so that the road condition information is richer than the local road condition information, the overall condition of the current road can be known more comprehensively, and the real-time performance is better.

The invention discloses a lane line data fusion method based on a high-precision map. The method comprises the following steps: respectively combining positioning data of a vehicle with the high-precision map and lane line data sensed at a position corresponding to the positioning data to construct first and second local road frames; obtaining an optimal estimation local road frame according to the positioning data and the high-precision map; synchronizing the optimal estimation local road frame with the positioning data in time; according to the first local road frame, updating the optimal estimation local road frame which is subjected to time synchronization with the positioning data; synchronizing the updated optimal estimation local road frame with the lane line data in time; and according to the second local road frame, correcting the optimal estimation local road frame which is subjected to time synchronization with the lane line data. According to the method provided by the invention, a lane line recognized through sensing, the high-precision map and the positioning data are fused, consequently, more accurate and stable lane line output is obtained, and meanwhile, a technical effect of monitoring reliability of the lane line data itself is realized.

The invention provides a method for predicting pavement performance on the basis of transport durations and traffic volumes. The method includes selecting local road segments as test sections; selecting random detection time; selecting appropriate detection indexes and corresponding equipment; selecting reasonable detection frequencies; acquiring data of various indexes of the pavement performance in the test sections according to the given detection time, the detection equipment and the detection frequencies; analyzing and processing the acquired data, fitting regression relational expressions of the various indexes, the transport durations and the traffic volumes and building pavement performance prediction models; inputting set durations or estimated traffic volumes into the models to obtain predicted values of the various indexes of the pavement performance. The method has the advantages that the test sections are locally detected at early stages, the data are processed at the early stages, the models are built at the early stages, and accordingly dependent on excessive pavement detection indexes at late stages can be prevented; only the transport durations and the traffic volumes need to be inputted into the models, accordingly, the pavement performance can be predicted, and the method can conveniently serve for pavement management, design and maintenance and repair.

The invention relates to an efficient rainwater and sunshine collecting, regulating and controlling device. The efficient rainwater and sunshine collecting, regulating and controlling device comprisesa water tank, a lamp post, a solar photovoltaic panel, a baffle, a storage battery and a street lamp; the lamp post is hollow, the two ends of the lamp post are provided with openings, the lower portion of the lamp post is installed on the water tank, and the lamp post and the water tank are communicated; the baffle is arranged on one side of the opening in the upper portion of the lamp post, thesolar photovoltaic panel is rotationally installed at the upper portion of the lamp post, when the solar photovoltaic panel is rotated to the other side of the opening in the upper portion of the lamp post to be connected with a post body of the lamp post, the solar photovoltaic panel and the baffle which are located on the two sides of the opening in the upper portion of the lamp post form a rainwater collector communicated with the interior of the lamp post; and the storage battery and the street lamp are installed on the lamp post, and the storage battery, the solar photovoltaic panel andthe street lamp are electrically connected. The efficient rainwater and sunshine collecting, regulating and controlling device has the beneficial effects that local road surface serious ponding and waterlogging caused by intense fall are relieved, the occupied space is saved, the power generating and energy storage effects of the device can be improved, the structure is simple, and energy conservation and environmental protection are achieved. The efficient rainwater and sunshine collecting, regulating and controlling device belongs to the field of municipal administration devices.

The invention discloses a road blocking-oriented road network traffic flow change quantitative calculation method, which comprises the following steps of: firstly, proposing a quantitative expression model of a road section node flow dynamic value by analyzing the characteristics of road network flow time dependence and flow accumulation; giving a cascade reaction function of a flow change rate between nodes of starting and ending road sections by tracking a tiny disturbance diffusion propagation process of road network flow, so that a flow disturbance response matrix between the road sections is solved; and finally, proposing a correlation model integrating a time lag operator and a spatial diffusion operator to calculate road network traffic flow change caused by traffic flow space-time delay to road section correlation. According to the method, response steady-state values of other road sections are tracked and captured by loading trace traffic flow disturbance at any road section node, the dynamic space-time correlation of space local road section nodes can be detected, and the traffic flow change of a road network can be accurately calculated.

The invention discloses a map generation method based on multi-agent laser radar and visual information fusion, and the method comprises the steps: recognizing a static target and a dynamic target through classification, calibrating a laser radar and a visual sensor of a single agent in a combined manner for each single agent, and recognizing the static and dynamic targets under the condition thatthe visual sensors of the single agents are consistent in time; generating a grid map, and fusing the detection results of the multiple agents according to the GPS information of the single agent. Byadopting the technical scheme provided by the invention, safe, reliable and predictable local road area information can be provided for multiple intelligent agents.

The invention discloses improved vehicle-mounted local road repair equipment comprising fixing seats, and the both sides of the lower end of each fixing seat are symmetrically provided with support legs; the lower end of each support leg is provided with a rolling wheel facilitating handling of the equipment, and lifting hydraulic rods are arranged at the positions, on the outer sides of the support legs, of the bottoms of the fixing seats; and the output end of each lifting hydraulic rod is provided with a support plate. The repair equipment is simple and rational in structure, and transmission of a driving motor is achieved though a driving gear and a transmission gear, so that a rotating seat is driven to rotate; thus, a cleaning device, a storage device and a rolling device are switched to work in turn; in this way, relocation of the overall equipment is not required, and improvement of the working efficiency is benefited; the equipment can be further used for fine tuning of the position of a repaired component, so that the accuracy of a processing position is ensued; a mounting disk is further provided with a dust removal mechanism, and dust generated during operation of the equipment is removed through the dust removal mechanism, so that environment pollution due to operation of the equipment is avoided; and the practicability is high.

The invention provides an unknown terrain navigation system based on image processing. The system comprises a road condition acquisition module, a map reconstruction module, and a navigation module. The road condition acquisition module comprises a monocular vision camera and an image transmission unit. The map reconstruction module comprises an image processing unit and a map reconstruction unit.The navigation module comprises a motion instruction unit and a path planning unit. The image transmission unit transmits local road conditions images acquired by the camera in real time to the imageprocessing unit. The image processing unit extracts road route features in the local road conditions. The map reconstruction unit continuously reconstructs the map according to the extracted road route features until the global map is reconstructed. The motion instruction unit sends motion instruction information to a mobile platform according to the reconstructed map. The invention further provides a navigation method based on the system. The navigation sharing system for the unknown terrain has the characteristics of being simple in structure, low in cost, and easy to realize learning and upgrading.

The invention discloses an image and meteorological environment data fused road icing identification method, which comprises the following steps of: monitoring the real-time state of a local road surface by using multiple channels such as an on-site exploration system and a remote terminal monitoring system to obtain image data and meteorological environment data, and performing feature extraction on the image data and the meteorological environment data; an image data sample and a meteorological environment data sample are obtained, the two kinds of data are fused, a brand-new machine learning model, namely a convolution-ensemble learning model, for identifying icing and snow accumulation on the road surface is constructed, the model is continuously trained and debugged by selecting a proper machine learning method, and the identification accuracy of the icing and snow accumulation on the road surface is improved. And finally, a machine learning model capable of being used for winter road surface icing identification is established. The road icing identification efficiency and accuracy can be improved, the application is simple and convenient, the model is easy to improve, and the method can be widely applied to road, bridge and airport icing prediction.

The invention relates to a laser SLAM loopback detection method. The method comprises the following steps: 1, acquiring single-frame three-dimensional point cloud data and synchronous IMU information of the single-frame three-dimensional point cloud data; 2, segmenting the point cloud of the current frame into unit spaces, and respectively storing data of the unit spaces into a matrix so as to construct a first descriptor; storing the segmented point cloud data and IMU information into a B vector to construct a second descriptor; 3, constructing a KDTree by using the second descriptor of the historical frame in the step 2; 4, performing nearest neighbor search by using the second descriptor, and finding n candidate similar frames from the KDTree; and matching the candidate similar frame with the current point cloud according to the first descriptor, judging whether a closed loop exists in the candidate similar frame or not according to whether a matching result accords with a threshold value or not, and if so, obtaining the relative rotation change of the current frame and the loopback frame. The loop detection and map construction method with higher precision and higher robustness of the mobile robot in an outdoor scene and a scene with high local road section similarity degree is realized.

The invention discloses an intelligent driving system and a working process thereof. The system comprises at least two adjacent and connected road section units, and each road section unit is providedwith a wireless communication base station, one or more unmanned automatic driving vehicles which are serially arranged on the same lane at a short distance, at least one network end cloud computingresource and a cloud global vehicle-road resource simulation model in a distributed mode; a communication module, a calculation unit, a local road section resource simulation model, a clock synchronization module and sensing equipment are arranged in the wireless communication base station; a communication module, a calculation unit, a vehicle body resource simulation model, a clock synchronization module and sensing equipment are arranged in the unmanned automatic driving vehicle. The adjacent and connected road sections are in communication connection through the wireless communication basestation; the unmanned automatic driving vehicles which are connected in series in the same lane communicate with each other; and the unmanned automatic driving automobile is in communication connection with the wireless communication base station. Vehicle-road information sharing and vehicle-road cooperation can be realized, and the passing efficiency is improved.