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739results about How to "Reduce congestion" patented technology

Shifting video code rate regulation method based on experience qualitative forecast

The invention relates to a shifting video code rate regulation method based on experience qualitative forecast. According to the invention, a sending end divides an encoding video speed rate into four grades, when a mobile terminal user requires a video business, the scale of the initial code rate of a video is middle, and thus, a QoE prediction model is periodically utilized to calculate a user taste value; the predicted QoE value and the presupposed QoE threshold value are compared, if the user experience quality is lower than the threshold value, and the corresponding adjustment is performed according to the network congestion indication and encoding video speed rate fedback by a receiving end in two periods; and the code rate grade of the next period is output until the request is finished, wherein the QoE prediction model is positioned on a video server side, and the decision tree structure is improved through training a plurality of gradients. The shifting video code rate regulation method provided by the invention can be used for solving a problem that in the current code rate regulation method, the video quality subjective feeling of users can not be considered, a network resource is fully utilized, meanwhile, the generation of network congestion is avoided or slacked, and the taste quality of the users is effectively improved.

Dynamic adjustment-based express delivery distribution optimization method

The invention relates to a dynamic adjustment-based express delivery distribution optimization method. The method includes the following steps that: express delivery dynamic information is obtained in real time, wherein the express delivery dynamic information contains the locating information of express delivery vehicles, goods delivery point information, goods taking point information and real-time traffic information; with minimum total distribution costs adopted as an objective function, a mixed integer programming model is adopted to construct a current distribution path according to the express delivery dynamic information, wherein the minimum total distribution costs contain the transportation costs of the vehicles, the fixed costs of the enabling of the vehicles, additional costs caused by the exceeding of maximum travel and penalty costs caused by the violation of time window constraints; and a simulated annealing hybrid genetic algorithm is adopted to optimize the current distribution path. According to the dynamic adjustment-based express delivery distribution optimization method of the invention, the current distribution path is optimized and dynamically adjusted according to the express delivery dynamic information, and therefore, the speed of express delivery distribution is improved, customer demands can be quickly responded, the distribution costs of an enterprise can be decreased, the utilization rate of the vehicles can be improved, urban traffic congestion can be reduced, and the operation efficiency of express delivery business can be benefitted.

Control system and method of dedicated lane for an autonomous vehicle

The invention discloses a control system and method of a dedicated lane for an autonomous vehicle. The system comprises a vehicle-mounted system, a roadside system, a cloud lane management center, anda road information prompting system. The vehicle-mounted system includes a vehicle-mounted information processing center, an information acquisition device, a vehicle-mounted communication module, and a human-computer interaction terminal arranged on a manually driving vehicle, and an automatic driving terminal arranged on the autonomous vehicle. The roadside system includes a roadside information processing center, a video monitoring module, a roadside unit and a second 5G communication module. The road information prompt system includes an information issuing center, a variable informationprompt board, a broadcast and a third 5G communication module. The cloud lane management center includes a data processing center, a traffic information database and a fourth 5G communication module.Different traffic congestion impact factors are assigned for a manually driving vehicle and an autonomous vehicle; and whether to start an autonomous vehicle dedicated lane is decided based on a traffic congestion index and an autonomous vehicle penetration index, so that the traffic efficiency is improved.

Terminal access method and terminal access device

The invention discloses a terminal access method and a terminal access device. The terminal access method comprises the following steps: on the basis of a bit value of a corresponding Access Class (AC) within an Enhanced Access Barring (EAB) parameter configured by a system, determining whether to allow the AC terminal to access; if the bit value of the corresponding AC within the EAB parameter is barred, then, on the basis of a barred time within the existing Access Class Barring (ACB) parameter, calculating a barred time for re-accessing the system and ending the process; and if the bit value of the corresponding AC within the EAB parameter is not barred, then, according to an existing system-broadcasted common ACB parameter, determining that access is allowed. According to the terminal access method and the terminal access device, the EAB and an existing ACB mechanism are combined for processing so as to solve the problem of possible impact on the system when the network is accessed concurrently by large numbers of delay-insensitive or low-priority services or terminals. Also, during the occurrence of an unexpected event, as the EAB applicable terminal is provided with appropriate control, the terminal is prevented from directly accessing the system without constraint, thereby shortening the delays and the duration of system congestion during the unexpected event.

Urban route travel time forecasting method based on pattern matching

The invention discloses an urban route travel time forecasting method based on pattern matching. The method comprises the steps that firstly, historical traffic data are analyzed, and traffic patterns are dug from the historical data and include road segment chain patterns and intersection patterns, wherein the traffic data adopted in the method are floating vehicle data; secondly, a traffic management department or an expert establishes a default road segment chain traffic pattern and a default intersection traffic pattern; the departure point, the terminal point and the departure time of an input vehicle are provided, a corresponding traffic pattern is matched according to the current traffic condition and weighting is conducted to work out the travel time of all candidate routes. By the adoption of the method, the urban road segment chain traffic patterns and the urban intersection traffic patterns can be effectively and comprehensively considered, the travel time of the urban routes can be effectively predicted, the adopted method and technology are simple and practicable, operating conditions can be met easily, and the method can guide vehicles to select the travel routes reasonably, plays an important role in relieving urban traffic congestion and is easy to apply and popularize in large and medium-sized cities.
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