16 results about "Metropolitan area" patented technology

The invention provides an urban circle traffic demand prediction method based on a super network. The method comprises the following steps: constructing a multi-level, multi-attribute and three-dimensional interconnected super network covering highways, subways and railways in an urban circle; constructing a multimode generalized cost function based on the super network; dividing a comprehensive traffic zone, generating a passenger transport demand starting point and terminal point OD matrix, and constructing a travel mode division model considering multimode generalized cost and environmental influence; and based on the travel mode division model, traffic flow distribution is carried out by using a user balanced traffic flow distribution algorithm based on a quasi-Newton method, and a traffic flow prediction result of the urban circle is obtained. According to the method, a solution is provided for efficiently constructing a digital base of a traffic transportation industry vertical domain large model, improving the traffic mode division precision and the like, the bottleneck restricting the improvement of urban circle travel efficiency can be deeply analyzed based on the traffic demand prediction result, and policy suggestions are provided for constructing an efficient urban circle traffic transportation system.

The invention relates to a system and a method for simulating travel within a metropolitan area in order to assess the suitability of electric vehicle infrastructure. The method comprises in particular: - a step (S01) of obtaining a set of routes for a given period within the metropolitan area, using a geographic database (DGeoA) and at least one simulation parameter (ParSSim), the step delivering a set of routes (EDS); - a step (S03) of obtaining, from the set of routes (EDS) of the at least one simulation parameter (ParSSim), at least one datum representative of the suitability (DrAIR) between electric vehicle charging infrastructure (DiBH, DiBA, SCP) and an electric vehicle adoption parameter (AdVE) for executing the routes of the set of routes (EDS).

The application discloses a domain name resolution method and device, electronic equipment and a storage medium, comprising: a mirror server synchronously acquiring and storing mirror data of an IPv6 root server; a plurality of edge leaf nodes are used as exit hot standby gateways, so that the edge leaf nodes receive access requests of clients to the IPv6 root server; receiving the access request returned by the edge leaf node, and resolving the access request according to the mirror data, and returning the obtained resolution result to the edge leaf node, so that the edge leaf node returns the resolution result to the client. In this way, the deployment of the IPv6 root server mirror on the edge of the new metropolitan area cloud network can be realized, the mirror server can directly serve the edge users, which is equivalent to the function of directly accessing the global IPv6 root server, is simpler and more effective than the traditional non-real-time and step-by-step resolution recursion, and significantly improves the efficiency and response speed of the IPv6 domain name resolution.

The application provides a kind of metropolitan area transport network adaptive protection path planning method and device.The method is executed on metropolitan area transport network, and metropolitan area transport network is composed of multiple nodes.Network topology information of metropolitan area transport network is stored as graph data, and the traffic load of each service flow in the next time period is predicted based on the pre-trained traffic prediction model and the obtained historical traffic information, and the residual capacity of each link in the next time period in the metropolitan area transport network, the available time slot type and the corresponding number are estimated.The traffic prediction model uses graph convolution network to perform multi-layer feature extraction on the structure of network topology graph, constructs load balancing constraint, minimization blocking rate constraint and minimization resource consumption constraint, and generates protection path and protection time slot allocation scheme for each service flow according to the residual capacity of each link in the next time period, the available time slot type and the corresponding number, to realize more efficient fault recovery and protection path selection.

An online shared charter platform automatically extracts and utilizes commercial flight information to surface private empty-leg opportunities. The platform accesses user-associated data objects from external data platforms and identifies commercial flight bookings. A template-based parser set attempts deterministic extraction of structured flight attributes using keyword matching, regular expressions, and structured-markup queries. If validated extraction fails, a machine-learned model, guided by a structured data template specifying field types and normalized airport and timestamp formats, generates a conformant structured result. The platform stores parser-or model-based attributes as a structured commercial flight dataset. A matching engine compares the dataset to available empty leg flights using at least one of geographic clustering of airports into metropolitan areas or dual time-window constraints including departure and arrival windows, and, when a match satisfies configured criteria, transmits a notification with the available empty leg flight to the user's client device.

Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft may be noisy. To accommodate this, the aircraft may utilize onboard sensors, offboard sensing, network, and predictive temporal data for noise signature mitigation. By building a composite understanding of real data offboard the aircraft, the aircraft can make adjustments to the way it is flying and verify this against a predicted noise signature (via computational methods) to reduce environmental impact. This might be realized via a change in translative speed, propeller speed, or choices in propulsor usage (e.g., a quiet propulsor vs. a high thrust, noisier propulsor). These noise mitigation actions may also be decided at the network level rather than the vehicle level to balance concerns across a city and relieve computing constraints on the aircraft.

The invention discloses a novel metropolitan area network multi-rule three-layer circuit automatic discovery method and device, and the method comprises the steps: collecting and storing the port basic data of whole network equipment; querying the ports according to a forward rule, and further filtering the ports according to a reverse rule; dividing the available ports into public network address ports and private network address ports according to address ranges to which the ports belong, grouping the public network address ports and the private network address ports, and pairing the ports in pairs in each group according to a sequence; setting the circuit direction of the two paired ports according to the attribute levels of the equipment to which the ports belong or the IP sizes of the ports, filling circuit information, and judging circuit attributes according to the name regularities of the equipment at the two ends, the alias regularities of the ports and the attributes of the equipment at the two ends; and comparing the current discovery circuit with the existing circuit according to the comparison logic of adding, modifying and deleting and the operation switch, automatically or manually confirming, storing and generating a historical record. According to the method and the device, different types of circuit scenes can be automatically processed, and the direction and the attribute of the circuit can be flexibly constructed.

The application proposes a metropolitan area or urban agglomeration substantial boundary identification method based on a multi-modal traffic network, which comprises the following steps: obtaining and preprocessing multi-source travel information data; calculating point accessibility based on improved Mahalanobis distance; calculating node accessibility based on abnormal influence factors; calculating node comprehensive accessibility; identifying the substantial boundary of the metropolitan area or urban agglomeration; and verifying the identification result based on the function polycentricity. The method designs a new point accessibility, node accessibility and node comprehensive accessibility calculation system based on emerging big data analysis technology, and proposes a simple, efficient, accurate and easy-to-understand metropolitan area or urban agglomeration substantial boundary identification method, which has a profound theoretical and practical significance for the application of related big data technology in the field of city and traffic planning and engineering.

The application provides a fault detection method and device and a storage medium, relates to the technical field of communication, and is used for solving the problem of low efficiency of manual fault checking in the prior art. The method comprises the following steps: acquiring a plurality of first test information sent from a plurality of source nodes to a destination node; the plurality of source nodes are nodes in a plurality of metropolitan area networks in a first region; the destination node is a node in a second region; determining the number of abnormal test information from the plurality of first test information, and determining a fault region according to the number of abnormal test information; acquiring a plurality of second test information sent from the plurality of source nodes to the destination node corresponding to the abnormal test information; and determining the node position of a fault node according to the plurality of second test information and the fault region. The application improves the efficiency of fault detection.

The invention relates to a system and a method for simulating travel patterns in a metropolitan area to assess the suitability of electric vehicle infrastructure. The method includes, in particular: a step (S01) of obtaining a set of routes for a given period within the metropolitan area, using a geographic database (DGeoA) and at least one simulation parameter (ParSSim), yielding a set of routes (EDS); a step (S03) of obtaining, from the set of routes (EDS) of said at least one simulation parameter (ParSSim), at least one representative data point of the suitability (DrAIR) between an electric vehicle charging infrastructure (DiBH, DiBA, SCP) and an electric vehicle adoption parameter (AdVE) for the execution of routes from the set of routes (EDS). Abstract figure: Fig. 1

The application discloses a physical layer perception dynamic resource allocation method and system for an elastic optical network, and solves the technical problems of existing schemes, such as conservative modulation selection, lack of physical layer perception, poor stability of reinforcement learning, low spectrum utilization rate and high service blocking rate. The method receives a dynamic service request, obtains a network state, generates a candidate path, extracts service, spectrum, physical layer and transmission feasibility features to construct a state vector, outputs a path-modulation joint decision through a reinforcement learning model, calculates a spectrum slot according to a modulation format, searches for a spectrum block meeting a constraint, performs QoT transmission quality verification, generates a reward according to a service establishment result, and iteratively updates model parameters through a reward centralization mechanism. The application improves the learning stability and decision accuracy of the model, realizes dynamic and flexible selection of modulation formats, fully excavates the physical layer transmission margin, improves the spectrum utilization rate and reduces the service blocking rate, and can be adapted to multiple scenes such as backbone networks, metropolitan area networks and data center interconnections.

This application relates to a metropolitan area Internet of Things (IoT) system and its security authentication method, apparatus, and storage medium. The system includes a perception layer for sensing the state of target objects and collecting data via sensor terminals, then forwarding the sensed data to an IoT gateway; a network layer for transmitting the received sensed data via a transmission network; a platform layer for parsing and forwarding the sensed data that has passed access security authentication based on a network controller; and an application layer for implementing IoT application services based on the parsed sensed data. The IoT gateway includes an access authentication module for obtaining a session key before the sensor terminal accesses the platform layer through the IoT gateway. The IoT gateway performs access security authentication on the sensor terminal at the physical layer based on the session key. This application improves the communication resource consumption of IoT security authentication methods and enhances system scalability.

This disclosure relates to a method and device for providing Ethernet Virtual Private Network (VPN) services, and a metropolitan area network (MAN). The method includes forwarding Media Access Control (MAC) addresses based on a bridging domain MAC routing table to provide VPN services. This disclosure defines a novel MAC forwarding mechanism that eliminates the need for VLAN replanning and configuration changes to the relevant OLT (Optical Line Terminal).

This invention provides a multi-objective optimization method for integrated passenger transport transfer systems in urban agglomerations, relating to the field of passenger transport transfer analysis technology. The method includes: connecting the transfer structure information of the integrated passenger transport transfer system; constructing and analyzing a hierarchical structure model to obtain fuzzy hierarchical sub-models and non-fuzzy hierarchical sub-models; using fuzzy hierarchical analysis and analytic hierarchy process (AHP) to calculate the fuzzy and non-fuzzy hierarchical sub-models respectively, obtaining a first weight vector and a second weight vector; performing game-theoretic combination weighted optimization analysis; obtaining optimal solutions with combination coefficients; and scoring the transfer structure information. This invention solves the technical problems of existing integrated passenger transport transfer system evaluation methods, which suffer from single evaluation indicators and strong subjectivity, leading to low accuracy and reliability of evaluation results. It achieves the technical effect of improving the accuracy and reliability of evaluation results and enhancing the optimization effect of integrated passenger transport transfer systems in urban agglomerations.

This invention relates to a method for constructing a multi-scale collaborative sustainable ecological network, comprising the following steps: identifying urban ecological source areas based on land use type MSPA analysis and landscape connectivity tests, and collecting and preprocessing basic data; extracting urban ecological source areas within the metropolitan area as two-scale ecological superposition source areas, and extracting secondary ecological source areas of the metropolitan area through ecological patch importance evaluation; selecting and assigning resistance factors for different scales to construct a hierarchical ecological resistance surface; simulating ecological corridors based on the resistance surface using minimum cost path and circuit theory at the urban and metropolitan scales to construct an urban-metropolitan ecological network system; determining the protection scope of ecological corridors and source areas, and identifying ecological pinch points and ecological barrier points on the ecological corridors for key protection and restoration; and systematically optimizing the green space ecological network at the central urban area scale based on the urban-metropolitan ecological network system to ultimately form a multi-scale collaborative sustainable ecological network system.

Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft can be sensitive to uneven weight distributions, e.g., the payload of an aircraft is primarily loaded in the front, back, left, or right. When the aircraft is loaded unevenly, the center of mass of the aircraft may shift substantially enough to negatively impact performance of the aircraft. Thus, in turn, there is an opportunity that the VTOL may be loaded unevenly if seating, luggage placement, and / or positions of internal components are not coordinated. This application describes systems and methods for dynamically assigning payloads and adjusting components of the VTOL aircraft.