30 results about "Street network" patented technology

Computer program products, methods, systems, apparatus, and computing entities are provided for defining travel paths in parking areas. In one embodiment, travel paths in parking areas can be defined by connecting street networking connection points within the parking areas. In another embodiment, such defined travel paths can be merged with actual paths traveled by vehicles in the parking areas.

Systems, methods, and computer program products are provided for identifying a serviceable address that is associated with a street network connection point and a parcel drop-off point. For example, in one embodiment, the serviceable address may be associated with a street network connection point that is part of a digital map. The serviceable address may also be associated with a parcel drop-off point that includes parcel drop-off point information, such as a parcel drop-off point geo coordinate associated with the parcel drop-off point and street network connection point geo coordinate associated with the street network connection point.

The present invention relates to a method of dynamic division of multi-layer control boundary of an over-saturated road network based on MFD under telematics, in an internet of vehicles environment, and according to an MFD reference database, determining traffic conditions of respective minimum units in a street network, expanding sequentially from a central key node to peripheral nodes, until a boundary of a congestion region is determined, so as to establish three control boundaries, namely those for the congestion region, a transition region and a normal region in the street network. If a street network has a plurality of congestion regions, a plurality of control boundaries can be set dynamically.

The invention relates to a method and a device for providing an electronic horizon for a driver assistance system of a vehicle, wherein the current position of the motor vehicle is determined and the electronic horizon is created by means of a heuristic on the basis of map information of the street network in the surrounding areas of the current position of the motor vehicle. In so doing, a probability consideration of the heuristic is carried out and an accuracy probability of the heuristic is determined.

A method and system for generating fixed transit routes is provided. A first set of street network segments within a first threshold distance from a starting point is identified for a pattern inputted by a user. A proxy first point along each of the street network segments in the first set is also identified. A second set of street network segments within a second threshold distance from an ending point is identified for the pattern inputted by the user. A proxy second point along each of the street network segments in the second set is also identified. A best path for the pattern is determined including any one of the proxy first points along the street network segments in the first set and any one of the proxy second points along the street network segments in the second set.

Assignment of point level address geocodes to street networks include the steps of entering address data and collecting candidate point data records and segment data record matches for the entered address. Each point data record includes address elements and also includes a geocode. Each segment data record includes a centerline between segment record data points. A determination is made if there is at least one point data record match for the input address. The best point record match for the input address is selected when at least one point data record match is made. The address elements from the point record are compared to any collected segment data records. A determination is made of the best segment record match to the selected best point record and the best segment record match is selected. The selected best segment record is employed and the bearing and distance from the selected best point record is calculated to a point on the centerline of the selected best segment record to determine a geocode for the centerline point.

The invention relates to the field of intelligent street lamps, and particularly relates to a street lamp network topology structure detection method. The street lamp network topology structure detection method comprises the steps of detecting the phase where a single-lamp controller of each first-level street lamp node, the power line carrier communication signal strength and the power line carrier communication signal signal-to-noise ratio and the like, and so on and so forth, detecting the phase where a single-lamp controller of each N-level street lamp node is located, the power line carrier communication signal strength and the power line carrier communication signal signal-to-noise ratio, acquiring the corresponding power line carrier communication signal strengths after SNR (signal-to-noise ratio) correction is utilized, and drawing a street lamp topology structure by using the phases where the single-lamp controllers of the street lamp nodes are located and using the power line carrier communication signal strengths after SNR correction is adopted. The street lamp network topology structure detection method can automatically draw the topology structure of a street lam network, and is widely applicable to intelligent management of street lamps.

Computer program products, methods, systems, apparatus, and computing entities are provided for defining travel paths in parking areas. In one embodiment, travel paths in parking areas can be defined by connecting street networking connection points within the parking areas. In another embodiment, such defined travel paths can be merged with actual paths traveled by vehicles in the parking areas.

The invention discloses an urban street network toughness quantitative measurement method, which comprises the following steps: acquiring space vector data of an urban street network in a target research city according to network open source map data; determining semantic models of points and edges of a street network, and mapping an actual space into network topological structure data formed by the points and the edges; designing random removal and sorting removal experiments to carry out dynamic deduction and iterative simulation; and drawing a relation curve between the urban street network performance index change and the removal ratio, and determining the structure change threshold point of the street network and the disturbance bearing capability of the street network. According to the invention, the structural evolution and toughness characteristic change of the street network in the disturbance process can be disclosed, so that a quantitative measurement method and a calculation model for the toughness of the urban street network are established from a dynamic mechanism level, and key thresholds and important nodes for keeping the street network structure are identified; and a technical tool can be provided for pointedly enhancing the street network toughness level in planning practice.

The invention provides a station site selection method considering charging time for a shared electric vehicle, and relates to the technical field of station site selection. The method comprises the following steps: representing a street network of an operation area by using a directed graph; setting parameters, basic information and requirements required by modeling; setting A decision variable and establishing a mathematical model of the site selection problem of the shared electric vehicle considering the charging time; encoding the model and generating an initial solution; searching a neighborhood solution set of the initial solution; searching a historical optimal solution as a current solution; recording and storing each segment of the current solution in a binary tree; performing repeated solution rejection on the current solution in the binary tree;and decoding and outputting the current solution from which the repeated solution is removed. According to the method, a battery replacement mode is adopted, the charging time of the battery is considered, the cost of purchasing vehicles and batteries by operators is reduced through service customer travel requirements, the customer satisfaction is improved, the service quality and efficiency are improved on the basis of existing research, and feasibility and creativity are achieved.

A system and method of procedural generation of graphics corresponding to a plurality of buildings in a three-dimensional virtual environment includes identifying a region in the three- dimensional virtual environment that is enclosed by a plurality of streets within the three- dimensional virtual environment, generating a two-dimensional arrangement of a plurality of tiles within the region, identifying one building segment graphic in the subset of building segment graphics corresponding to each tile based on an array of pseudo-random index values stored in the memory for each tile in the plurality of tiles, and generating a graphical depiction of the three-dimensional virtual environment including a graphical depiction of the plurality of buildings in the region based on the two-dimensional arrangement of the plurality of tiles and the building segment graphic identified for each tile in the plurality of tiles.

The invention provides an intelligent wireless sensing monitoring system and method for a street lamp network, relating to the public facility monitoring field. The intelligent wireless sensing monitoring system comprises a street lamp network and a monitoring terminal; the street lamp network comprises network nodes; the monitoring terminal comprises a monitoring radio frequency unit, a processor and a controller; the network node comprises a street lamp, a current sampling device, a photoelectric sensor, a digital-analog converter, a microcontroller, an ID marker and a street lamp radio frequency unit; the network nodes are in signal connection through the street lamp radio frequency unit; and the network nodes are in signal connection with the monitoring terminal through the street lamp radio frequency unit. The intelligent wireless sensing monitoring system and method has advantages of intellectualization, global control, accurate monitoring, high efficiency and comprehensive monitoring.

The invention discloses an urban street space vitality simulation method and system, computer equipment and a storage medium. The method comprises the following steps: acquiring a map image in a research range; creating street line elements, drawing a street network on the map image, and generating street road segment line elements; generating facility point elements, and inputting distance screening facility point elements influencing street vitality; generating a neighbor table of facilities and streets; generating street intersection elements; constructing a facility-street intersection ODtable to obtain street network distances between all facilities and two intersections of all streets; calculating the average vitality of all streets to obtain a street vitality table; generating a current street vitality grid and a planned street vitality grid; and generating a comparison grid of planning and current street vitality. The urban current street vitality can be simulated, the plannedstreet vitality can be simulated according to planning requirements, and the planning effect can be predicted by comparing the current street vitality with the planned street vitality.

The invention relates to the technical field of communication facilities, in particular to a street lamp network-based wireless acquisition system. A street lamp controller is connected with a power supply, a street lamp is connected onto the street lamp controller, a street lamp signal transmission system is mounted on the street lamp, an acquisition device is mounted on the street lamp, the power supply is provided by the street lamp and the acquisition device is connected with a street lamp network in a wired or wireless mode; at any place in the covering range of a street lamp communication network, the acquisition device is connected with the street lamp network through a wireless network, a signal transmission device transmits data acquired by the acquisition device to a server through a wireless signal, the server contains a data center, a monitoring center and a control platform, environment acquisition information is transmitted by a remote street lamp network, and the acquired information is uploaded to a background server by the street lamp network; the acquisition device is a municipal facility detector, and the detected information is transmitted to the street lamp network through wireless transmission and then is uploaded to the background server through the street lamp network, so additional cable pavement is avoided, expenses are saved and energy consumption is reduced.

The invention discloses an intelligent diversified street network operation management system, including smart clients, server-side and external data communication interface, the intelligent user endand the server end are communicated with each other through the Internet, the server end comprises an intelligent health module, government inquiry module, express inquiry module, Community Group Purchase Module, Property Warranty Module, Complaint Suggestion Module, community dynamics module and community activity module, The external data communication interface is electrically connected with the server end, and the intelligent user end is provided with an operation module corresponding to the intelligent health module, the government affairs inquiry module, the express inquiry module, the community group purchase module, the property warranty module, the complaint suggestion module, the community dynamic module and the community activity module, and the intelligent user end is connectedwith the intelligent health module, the government affairs inquiry module, the express inquiry module, the community group purchase module, the property warranty module, the complaint suggestion module, the community dynamic module and the community activity module. The invention has the advantages that the user can obtain data in time, so that the information can be conveniently and quickly obtained and the operation in the street community can be carried out, the invention is diversified, convenient and quick, and the user end occupies less.

The invention discloses a geographic big data space latent pattern analysis method based on topology analysis, which comprises the following steps: acquiring urban road network data to obtain a street network diagram; performing feature description on the street network diagram by using urban traffic network statistical indexes, regularity features and topological features; calculating a Gini coefficient between the topological features; dividing a city into simplex forms by using the regularity features; using a topological mapper as a topological structure visualization tool of the features, identifying the simplex forms and converting the simplex forms into a complex form, and clustering the complex form into groups; and combining the clustered cities with economic development indexes of the corresponding cities to perform correlation analysis. The structure extracted by the method integrally reflects the regularity of each urban road network, discovers a potential substructure, and discovers that the structure division is related to the urban economic level and geographical location factors in combination with urban GDP total amount information.

The invention discloses a network-based street lamp control method, device and system. The method includes: the group station collects the corresponding relationship between the number of each street lamp and the actual position of each street lamp; the group station sends the corresponding relationship to the control terminal; the group station receives the control command returned by the control terminal, and the control command is for the corresponding The command generated by the street lamp corresponding to any number in the relationship; the group station converts the control command into a dimming signal and sends it to the street lamp at the actual location corresponding to any number. The invention solves the problem that the street lamp control method in the prior art can only adjust the switch and brightness of the whole street lamp, but cannot control a certain designated area or a designated street lamp, resulting in low street lamp control efficiency.

The invention discloses a streetlight network control method, comprising the steps of: immediately turning on a streetlight when the streetlight acquires a vehicle passing condition and measures a measured vehicle speed signal through a signal acquisition unit; meanwhile, commanding a plurality of streetlights ahead to be turned on for several seconds according to a preset corresponding value between the vehicle speed and the number of the turned-on streetlights ahead as well as a preset corresponding value between the vehicle speed and the light-on time; and turning off the streetlight after the vehicle runs through the streetlight. Meanwhile, by monitoring ambient brightness, vehicle traffic flow and ambient humidity and regulating the illumination brightness of the streetlight, invalid illumination is avoided. The control method disclosed by the invention has the advantages that the proper illumination brightness can be provided by the streetlights according to specific environments in bustling downtown areas and solitude road sections, and the electricity can be saved by 30%; and the method is completely adopted in the solitude road sections, the electricity can be saved by 70% in average and 90% at most. If an LED light source is adopted, the service life of the streetlight can be prolonged by 5 times.

The invention relates to the technical field of logistics processing platforms, and discloses an intelligent logistics big data processing platform, which comprises a public cloud server and a plurality of private cloud servers which realize data interaction with the public cloud server through a wireless communication network and are used for controlling different logistics companies, the public cloud server is used for carrying out online monitoring, intelligent AI data analysis, integrated management and scheduling management on the logistics processes in the private cloud servers; each private cloud server comprises a data acquisition terminal, an order management module, a vehicle tracking module, a warehouse management module, a transportation management module, a charging management module and a report generation module; the order management module comprises an offline entity unit, a community street network unit, a distribution channel unit, an online e-commerce unit and a logistics cabinet fixed point unit. The method has the beneficial effects of perfecting data of all links of logistics and improving analysis, prediction and optimization schemes.