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307 results about "Signal optimization" patented technology

Non-signalized crossing optimization control method and system in cooperative vehicle infrastructure environment

ActiveCN104637315AReduce delaysImprove green light time utilizationControlling traffic signalsSliding time windowEngineering
The embodiment of the invention provides a non-signalized crossing optimization control method and system in cooperative vehicle infrastructure environment. The method comprises the following steps that roadside equipment sends driving state information sent by each vehicle-mounted unit to roadside management equipment; the roadside management equipment calculates road right information and vehicle speed guide information of each vehicle by using a preset crossing signal optimization model according to the driving state information of each vehicle passing through a crossing, in addition, the road right information and the vehicle speed guide information are sent to the roadside equipment, and the roadside equipment sends the road right information and the vehicle speed guide information to corresponding vehicles. The method and the system provided by the embodiment of the invention have the advantages that the road right information and the vehicle speed guide information of each vehicle are calculated according to the preset crossing signal optimization model and the optimized green light time based on a sliding time window T, the real-time interactive guide control with vehicle individuals is realized, and the vehicles at the crossing are subjected to speed optimization guide, so that the intelligent traffic control efficiency of the crossing is improved.
Owner:BEIJING JIAOTONG UNIV

Optimized control method for traffic signals at road junction

The invention relates to an optimized control method for traffic signals at a road junction, which is based on adaptive dynamic-programming optimized control and comprises: a step 1 of designing the most basic fuzzy neural network traffic signal controller for the road junction; a step 1 of acquiring state variables and control variables in a certain period; a step 3 of constructing a training error signal by using the state variable, the control variable, an evaluation variable and the like of a certain time and training an artificial neutral network evaluator; a step 4 of constructing a training error signal by using the artificial neutral network evaluator and training the fuzzy neural network traffic signal controller; a step 5 of making the artificial neutral network evaluator and the fuzzy neural network traffic signal controller meet preset training index requirements at the same time; a step 6 of using the training data of a next time to repeat the steps 3, 4 and 5 till the training data of the whole time period are used; and a step 7 of finally acquiring the optimized fuzzy neural network traffic signal controller and transmitting the optimized fuzzy neural network traffic signal controller to a road junction machine to control the traffic signals.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI

Road crossing signal dynamic regulation method, device and system

The present invention provides a road crossing signal dynamic regulation method based on online traffic simulation. The method comprises: calculating the current traffic operation parameters in the current signal timing scheme according to the current traffic flow data; performing signal optimization timing calculation according to the current signal timing scheme and the traffic data, and obtaining an optimized signal timing scheme; performing traffic simulation aiming at the optimal signal timing scheme, and obtaining simulated and outputted traffic operation parameters; and finally, comparing the simulated traffic operation parameters with the current traffic operation parameters, if the simulated traffic operation parameters exceed a presetting threshold, outputting the optimal signal timing scheme, and performing road crossing signal timing through adoption of the optimal signal timing scheme. The road crossing signal dynamic regulation method, device and system are able to provide different signal timing schemes for signal lights at the crossing aiming at road traffic flow at different time periods so as to improve the passing efficiency of a crossing and ensure that the crossing is able to operate in the optimal mode all the time in the condition that the road crossing operates at the optimal timing scheme.
Owner:吴建平

Message-based complex network traffic signal optimization control method

InactiveCN104882006AAvoid problems requiring big data for learning optimizationImprove real-time performanceControlling traffic signalsTraffic signalTraffic network
The invention relates to a message-based complex network traffic signal optimization control method, which comprises the steps of: establishing a traffic network model, and initializing parameters of the traffic network model; initializing signal lamp switching time of each network node and time for a vehicle to arrive at each node; establishing a traffic network system delay function, and establishing message passing functions among the network nodes; calculating time for the vehicle to arrive at the nodes; solving a minimal value of the traffic network system delay function, arriving at new values for establishing the message passing functions among the network nodes, and transmitting the values to upstream and downstream nodes; and returning to the step 3 to carry out loop iteration processing, and stopping the loop iteration when an optimal state is achieved. According to the message-based complex network traffic signal optimization control method provided by the invention, traffic signal control and vehicle driving path need to be optimized in a complex regional traffic system, so as to realize management and control on urban road traffic, and the message-based complex network traffic signal optimization control method has the advantages of being stable and reliable, high in environmental adaptability and high in real-time performance of algorithms, and having higher system optimization efficiency.
Owner:SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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