37results about How to "Traffic balance" patented technology

The invention provides a super-speed wireless local area network channel binding and allocation method based on channel quality. The super-speed wireless local area network channel binding and allocation method based on the channel quality comprises the first step of monitoring whether communication channels of a single threaded apartment (STA) managed by an application process (AP) are free or not through the AP, starting to control the free channels if the channels are free, and obtaining the number of the free channels, signal-noise ratio and signal interference ratio, the second step of calculating channel signal weight according to the signal-noise ratio and the signal interference ratio and confirming priority of the free channels according to the channel signal weight, the third step of polling the STA managed by the AP through the AP and obtaining business types existing in a local priority array of the STA, the fourth step of dividing priority of the business exiting in the STA through the AP, and the fifth step of allocating the free channels for the STA in a self-adaption mode according to business priority and channel priority with dichotomy through the AP. The super-speed wireless local area network channel binding and allocation method based on the channel quality not only balances the number of business of a network, but also provides more and better channel resources for high priority business. Quality of service (QoS) of the business is ensured and handling capacity of a system is improved.

The invention discloses a vehicle following model stability control method considering driver perception error, which is used for solving the influence of the driver random perception error on the traffic flow stability. According to the method, under the condition of considering that a driver has an information perception error for the motion state of a preceding vehicle in the vehicle followingprocess, vehicle head distance and preceding vehicle speed confidence level parameters are introduced, a vehicle following model considering the driver perception error is established, and on the basis, a feedback control method is designed to enhance the stability of the model. Compared with a model which does not consider a feedback control method, the provided feedback control method can effectively improve the stability of the queue, and technical support is provided for queue stability control methods in the fields of traffic management and control, vehicle intelligent control and the like.

The invention discloses a city traffic optimization service method and system based on swarm intelligence; the method comprises the following steps: simulating local traffic situations according to swarm intelligence, and selecting a local scheduling strategy allowing each vehicle driving time and the local traffic situations to reach balance according to the simulation result and a local trafficoptimization target; using swarm intelligence to simulate the global traffic situation, and selecting a global scheduling strategy allowing the local traffic situation and the global traffic situationto reach balance according to the simulation result and a global traffic optimization target; recommending optical routes for each participating vehicle according to the swarm intelligence calculation result, thus realizing city traffic optimization services; finally, using the method to realize the city traffic optimization service system based on swarm intelligence. The system comprises a vehicle mounted platform, a situation cognition system and a swarm intelligence decision and control system, and aims to improve the city traffic optimization service decision enforceability and validity.

Disclosed are a service processing method and a related device. The service processing method comprises: a user equipment accessing a first network and obtaining a first address which is allocated to the user equipment and used for transmitting a service in the first network; accessing a second network and obtaining a second address which is allocated to the user equipment and used for transmitting a service in the second network; and determining a transmission network of first uplink data of a first service to be transmitted according to the network load and/or the network transmission quality, wherein the first network and the second network are networks with different models. The technical solution of the embodiments of the present invention is beneficial for improving the service transmission performance of networks.

The invention provides a terminal switching method and a terminal switching device. The method comprises that when the load of a first district exceeds a first preset threshold, whether the load of a second district is lower than a second preset threshold is determined, wherein the second district is related to the first district, and the first and second districts employ different frequency ranges; and when the load of the second district is lower than the second preset threshold, a first terminal in the first district is switched to the second district which is related to the first district. According to the invention, the problems of a common BCCH (Broadcast Control Channel) technology including high failure rate of terminal designation, high failure rate of terminal switching, and telephone traffic imbalance of the two frequency ranges caused by incapability of accurately acquiring level states of the district in correspondence with the 1800MHz frequency range are solved, thereby improving success rates of terminal switching and terminal designation, and effectively balancing telephone traffic of different frequency ranges.

The invention discloses a traffic guidance scheduling system based on a particle swarm optimization algorithm and a scheduling method thereof, and belongs to the field of traffic control. The system comprises a guidance strategy making module, a guidance information generating module and a guidance information issuing module; the guidance information making module is used for making a management strategy according to the change of the traffic flow state and sending the management strategy to the guidance information generation module; the induction information generation module is used for generating driving time, traffic jam, driving distance and other indicative or inductive traffic information according to an induction strategy and sending the information to the induction information release module; and the induction information issuing module is used for issuing induction information to travelers. According to the method, constraints such as the flow, the inflow rate and the green time ratio are combined, the minimum sum of the road network driving time and the delay time serves as a target function, optimization is conducted through the particle swarm optimization, balanced distribution of the road network traffic flow is achieved, and the operation performance of the road network is effectively improved.

The invention relates to a batch service processing method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring at least one to-be-processed service, wherein each to-be-processed service in the at least one to-be-processed service carries an institution identifier and a service type; determining at least one batch service group based on the at least one to-be-processed service, wherein the service type and the group number of at least one to-be-processed service belonging to the same service group are the same, and the number of at least one to-be-processed service in each service group does not exceed the preset maximum number of services in each group; and processing each service to be processed in the at least one batch service group. By adopting the method, the processing time of batch to-be-processed services can be shortened, and the processing efficiency is improved.