7results about How to "Improve the traffic environment" patented technology

The invention discloses an urban road intelligent inspection method and system based on an automatic driving vehicle. The method comprises the following steps: S1, acquiring position information of the automatic driving vehicle through a positioning module loaded at a vehicle end; s2, sensing the surrounding environment of the vehicle through a camera module loaded on the vehicle end so as to construct image information; s3, target detection is carried out based on the constructed image information through a deep learning algorithm, whether road abnormity exists or not is judged, if yes, the step S4 is carried out, and if not, the step S1 is carried out; s4, the vehicle end organizes the vehicle information and uploads the vehicle information to the cloud platform data center; and S5, after the cloud platform data center receives the corresponding information, carrying out data induction and arrangement, data storage, construction of a maintenance task and tracking. According to the technical scheme, a brand-new, more intelligent and efficient infrastructure maintenance mode is provided for urban managers, and promotion of urban traffic and living environment is facilitated.

The invention discloses a digital data processing method for dual carbon and energy conservation and emission reduction and a central station, and relates to the technical field of intelligent transportation, and the method comprises the steps: obtaining a vehicle model and a feature set, clustering to generate a vehicle threshold, and analyzing carbon emission to construct a mapping table. And the predicted traffic flow is obtained by inputting multi-source monitoring acquisition information into the predictor. And generating a regional signal control scheme based on the road network topology and the parameters. And calculating the total carbon emission based on the predicted traffic flow and the scheme simulation idling duration in the simulation space, setting the scheme of the minimum total carbon emission to be optimal, and controlling the signal lamp according to the scheme. The technical problems of poor traffic management efficiency, serious road vehicle idling and high regional vehicle idling carbon emission caused by the fact that an existing traffic signal lamp control mode cannot be accurately, flexibly and timely adjusted according to traffic flow changes are solved, and the purposes of improving the traffic management efficiency, reducing regional vehicle idling carbon emission and reducing the traffic flow change are achieved. And the technical effects of energy conservation, emission reduction and traffic environment improvement are promoted.

The invention discloses a signal timing scheme automatic generation system based on multiple algorithms, and the system comprises an index data statistics module which is used for carrying out the statistics of a plurality of preset index data in obtained traffic big data in any traffic region which is delimited in advance, and obtaining a statistical result of the index data; the index algorithm model management module is used for performing result representation on any index in the statistical result by using a corresponding specific index algorithm model; the optimization model generation module is used for constructing a multi-algorithm signal timing optimization model for a plurality of index algorithm models corresponding to the plurality of indexes; and the problem solving module is used for solving the optimization model and generating a signal timing scheme of the target traffic area according to a solving result. According to the invention, through integration of the multi-algorithm model, automatic generation of the traffic signal timing scheme is realized, the efficiency and effect of traffic management are improved, and powerful technical support is provided for sustainable development of urban traffic.

The invention discloses a parking space state prediction and parking guidance system based on multi-source information fusion, and relates to the technical field of parking guidance, the core of the parking space state prediction and parking guidance system comprises four modules: a multi-dimensional data acquisition and preprocessing module for acquiring and associating three-dimensional data of a user, a parking lot and a road network by deploying a multi-modal terminal and an edge node; the parking demand and resource collaborative evaluation module is used for predicting a parking space vacancy rate by using a model according to the three-dimensional data and judging whether a guiding scheme needs to be adjusted or not by combining a threshold value; the demand-oriented guide parameter optimization module is used for dividing travel scenes based on the core state data of the vehicle owner aiming at a scene needing to be adjusted, calculating an optimal parking path curve and generating a parking space recommendation and path instruction; and the guiding effect closed-loop and compensation module is used for pushing an instruction, monitoring parking duration and evaluating whether a compensation scheme is started or not. According to the system, through multi-source information fusion and dynamic optimization, the parking efficiency and the user experience are improved, and static traffic intelligence is assisted.

The present invention provides a method and device for combining travel orders of multiple tenants into ride-sharing orders, and relates to the technical field of transportation. The method of the present invention comprises: determining multiple traffic nodes in pre-selected routes of each accepted order, and generating supply and demand hot and cold impact values ​​at each traffic node according to the number of orders to be received and the number of empty bus drivers; combining the supply and demand hot and cold impact values, the driving distance and time of the best ride-sharing route to generate a ride-sharing evaluation coefficient; combining the orders of the tenants to be received and the orders of the tenants received corresponding to the best ride-sharing route with the largest comprehensive ride-sharing evaluation coefficient into a ride-sharing order. The ride-sharing order combined by the method of the present invention not only has better planning in terms of the driving time and driving distance of the tenants received and the tenants to be received, but also plays a better role in alleviating the degree of hot spots in supply and demand and improving the traffic environment, thereby avoiding the problem of local traffic inconvenience in the city.

This utility model provides a hollow, one-time injection-molded composite fencing, relating to the field of fencing technology. It includes a fencing body and two sound-absorbing components, both fixedly installed on the exterior of the fencing body, for quickly absorbing noise generated during construction. In this utility model, when noise contacts the surface sound-absorbing panel, some sound waves are directly absorbed and reflected, achieving initial attenuation. The remaining sound waves enter the cavity through the sound inlet holes and undergo multiple reflections under the action of a specially designed corrugated plate, significantly extending the propagation path and converting most of the sound energy into heat energy. Finally, the residual sound waves are completely absorbed by the sound-absorbing cotton and the inner wall sound-absorbing panel, achieving noise reduction across the entire frequency band. The structure adopts a multi-layer composite noise reduction design, achieving efficient sound energy absorption through a stepped noise reduction mechanism. This not only effectively reduces noise pollution and harms residents' health but also significantly improves the traffic environment and reduces the risk of accidents caused by noise interference for drivers.

The invention discloses an intelligent city planning management system and method based on big data, and relates to the technical field of big data, and the method comprises the steps: obtaining a plane layout diagram of a target intersection and a historical monitoring video, and obtaining a steering proportion vector corresponding to each lane; according to the monitoring video, extracting a target video clip in the monitoring video, and further calculating the current congestion degree of each lane group; obtaining an effective signal corresponding to each lane and allowing a vehicle on the lane to pass through the target intersection, and obtaining a timing coefficient of the effective signal corresponding to each lane; and obtaining historical timing data of the effective signal corresponding to each lane, and adjusting the timing data of the effective signal corresponding to each lane according to the timing coefficient. According to the invention, reasonable and targeted timing optimization is carried out on each signal on the signal lamp according to the actual situation of the intersection, a more convenient traffic environment is provided for driving residents, the traffic efficiency of the intersection is improved, and traffic jam is relieved.